WiseTech Global Stock

Good morning, and thank you for joining us for our FY '26 results briefing. There are 4 key points to focus on. First, we delivered what we said we would. We achieved record revenue growth of 79% within guidance at $1,395.9 million. In February, we reaffirmed guidance, excluding our AI transformation restructuring and divestments. On that basis, we exceeded guidance EBITDA and EBITDA margin at $585.8 million and 42%. This was a year of real transformation and would not have been possible without the effort, resilience and commitment of the incredible team at WiseTech.

Underpinning our growth in FY '26 was a sharp focus on cost and capital discipline. Across our efficiency programs, we delivered approximately $115 million in total annualized run rate savings in FY '26. That includes $64 million from e2open cost synergies ahead of the $50 million target we had set for FY '27 and reached nearly 18 months early. That alone expanded e2open's underlying EBITDA margin by 8 percentage points against FY '25 pro forma. These were structural changes to how we operate with the majority of the benefits still ahead of us. That discipline extends to the balance sheet. Having funded the largest acquisition in our history, deleveraging has been a priority, and we are moving faster than we previously guided.

We now expect to reach approximately 2.2x by the end of FY '27, ahead of our previous target of around 2.5x and below 2x during FY '28. That leaves us with a lower cost base, stronger margins, strong cash conversion and a balance sheet that is rebuilding capacity. That is the platform we take into FY '27. Third, our focus on AI execution strengthens the advantages we have built over more than 30 years, our network, our automations, our data, our domain expertise and our position inside critical supply chain, global trade and logistics workflows. AI turns that advantage into better products, enhanced automation and more value for our customers faster than ever before. Our AI Transformation program across product and development and customer service delivered $34 million of annualized EBITDA run rate savings. That adds to the $17 million of annualized EBITDA run rate savings delivered earlier in the year through our focus on high-performance teams and AI.

AI has fundamentally changed how we build products, support customers and work across WiseTech. We made more than 500 role reductions globally earlier in FY '26 under our high-performance efficiency program, which included impacts from our early adoption of AI. We then removed a further approximately 1,200 roles globally, mainly in product and development and customer service. We did not make these decisions lightly. These changes were needed to build the company we will become. We also embedded AI across our business and used it to create real value for our customers. I will return to that shortly. And lastly, we advanced our strategic priorities. Our new CargoWise commercial model, the CargoWise Value Packs, is well established with more than 95% of customers on CVP. Sales momentum has grown strongly with an approximately 55% increase in new SME signings and approximately 30% overall increase in new signings, and we have seen early migration from several STL commitment agreement customers.

Following the launch of the CargoWise Value Packs, our customer attrition rate remains below 1% as it has been for the last 14 years. We signed 4 large global freight forwarder rollouts during the year, 2 pre-CVP and 2 on CVP. This reinforces confidence in the platform and our value-based approach. We refined the model in the second half. This reduced the initial revenue uplift from the launch, but those refinements were made deliberately to align to customer usage and feedback and ensure CVP delivers long-term growth. During the year, we continued e2open's transition to a product-led operating model, consistent with the WiseTech approach, established a clear product strategy, aligned teams to product portfolios and created a unified road map across the business.

Significant progress has also been made in aligning product development, deployment and maintenance practices while focusing on increasing product standardization and improving scalability and speed of execution. It is encouraging to see that through a year of integration. e2open has maintained leadership positions across multiple industry reports and analyst assessments in the supply chain market, including Gartner, IDC and Nucleus Research. This is testament to the strength of the products, the team and the value customers see in our connected supply chain orchestration solutions. In July this year, we acquired FRDM.ai, an AI-powered supply chain risk and compliance intelligence platform, accelerating the development of VerifyWise.

VerifyWise is a comprehensive platform for multi-tier supply chain verification, including modern slavery, forced labor and a wide range of other compliance obligations that are increasingly becoming mandatory. It will help exporters and importers, logistics providers, banks, lawyers, accountants and others to simplify and strengthen compliance and navigate an increasingly complex regulatory environment. Container Transport Optimization went live in July this year, building on the strong foundations and growing usage of our existing container transport solutions, including Matchbox Exchange and Avantida. We will expand the network of container transport participants in Australia and drive further adoption. And in partnership with the New Zealand Customs Service, we have created the New Zealand Community Edition of BorderWise, provided free of charge to the entire trade community, including importers, exporters, customs brokers, freight forwarders, logistics service providers and New Zealand government agencies.

We have also made substantial progress and are on track to see the New Zealand tariff management portal live in production in the first half of the 2027 calendar year. This portal will help border agencies manage the movement of goods in and out of New Zealand and is a step towards a much broader government opportunity in other markets. Our vision is to be the operating system for global trade and logistics, the mission-critical systems that connect and power global supply chains, so customers can execute, comply, move goods and make decisions faster and with more confidence. This was a transformational year for WiseTech.

We acquired e2open, launched our new commercial model with more than 95% of CargoWise customers moving on to it and adopted AI across our own operations. We secured government agreements, delivering custom solutions for both the New Zealand customs service and the New Zealand trade community. We added to our VerifyWise solution, acquiring FRDM.ai to accelerate supply chain compliance for exporters, importers and the banks that finance them. And we are building out our CargoWise AI workflow engine and AI management engine to reduce the cost of global trade and logistics for our customers. FY '26 marks an inflection point for WiseTech. We delivered on our commitments, strengthened the business and laid foundations for short-term revenue initiatives and long-term sustainable growth.

Now let me take you through the numbers at a high level before Caroline goes into the detail. Total revenue was $1,395.9 million, up 79%. CargoWise revenue grew 11% to $756.9 million, e2open contributed $541.2 million, in line with our expectations. We achieved approximately $115 million in total annualized run rate savings through efficiency programs, including $34 million from our AI transformation program, $17 million delivered earlier in the year from our focus on high-performance teams and initial adoption of AI, along with the $64 million from e2open cost synergies ahead of the FY '27 target of $50 million.

We are reporting on an underlying basis, which excludes M&A costs, restructuring costs, gains or losses from divestments and acquired amortization. This makes the underlying performance of the business more transparent. We updated underlying NPAT to align with this and restated the FY '25 comparative. Underlying EBITDA was $644.5 million, up 56% with an underlying EBITDA margin of 46%. Reported EBITDA was $558.4 million, up 46% with a reported EBITDA margin of 40%. Underlying NPAT was $313.5 million, up 29%. Statutory NPAT was $178.7 million, down 11%. The Board determined a final dividend of $0.088 per share, fully franked, a payout ratio of 17% of underlying NPAT. The takeaway is discipline. We grew, integrated the biggest acquisition in our history, changed how we work and generated strong cash. Caroline will now take you through the detail.

Thank you, Zubin, and good morning, everyone. It's great to be speaking with you today. I'll start with our financial performance for the full year. We grew total revenue by 79% on FY '25 to $1.396 billion, driven by the e2open acquisition and growth in CargoWise. Total recurring revenue was 95% of total revenue, down 3 percentage points on FY '25, reflecting e2open's higher mix of professional services and other nonrecurring revenue. Total CargoWise revenue was up 11%. This included $14.2 million from FY '25 and FY '26 M&A and a $9.3 million FX tailwind, partly offset by second half refinements to the new commercial model.

Gross profit was up 62% on FY '25. Gross profit margin was 79%, down 9 percentage points, largely from consolidating e2open. e2open carries a higher mix of professional services, which puts more headcount into cost of revenue. Reported EBITDA was up 46% to $558.4 million with the corresponding EBITDA margin of 40%, down 9 percentage points. This reflects the consolidation of e2open, restructuring costs and the loss on the divestment of Expedient, partially offset by lower M&A costs. As Zubin mentioned earlier, we will report EBITDA and EBITDA margin on an underlying basis going forward to present a more transparent measure of the group's operating performance by excluding items associated with restructuring programs, M&A and gains or losses on divestments.

Underlying EBITDA was up 56% to $644.5 million, with underlying EBITDA margin of 46%, down 7 percentage points on FY '25, reflecting the consolidation of e2open. EBIT was up 21% with depreciation and amortization increasing by 127%, predominantly from e2open acquired amortization as expected. Net financing costs increased to $133.6 million, reflecting interest expenses on the debt facilities drawn to fund the e2open acquisition. We managed this exposure through interest rate swaps, which provides more certainty over future interest expense. Underlying net profit after tax of $313.5 million was up 29% on FY '25. The reconciliation to statutory NPAT is in the appendix. Underlying EPS was up 28% to $0.94 per share.

Turning to our FY '26 segment results. WiseTech, excluding e2open, generated revenue of $854.8 million, up 10% on FY '25, in line with the CargoWise growth just outlined. e2open contributed $541.2 million to total revenue, reflecting 11 months since completion. We continue to execute e2open integration initiatives during FY '26, including the transition to a more product-led operating model and commercial alignment activities aimed at improving customer retention and recurring revenue. Subscription revenue attrition continued during the year, reflecting the time required for these initiatives to take effect. With a continued focus on recurring revenues and transition to the WiseTech partner network model, professional services revenue reduced in the year as expected. Underlying EBITDA of WiseTech, excluding e2open, was $451.2 million, up 9% with underlying EBITDA margin of 53%, flat on FY '25.

Underlying EBITDA margin for e2open was 36%, up 8 percentage points from FY '25 pro forma, reflecting early delivery of integration cost synergies. This slide splits between recurring and nonrecurring revenues and CargoWise, non-CargoWise and e2open revenues. Recurring revenue grew 72% or $550.7 million, driven by $497.4 million from FY '25 and FY '26 M&A, including e2open, large global freight forwarder rollouts and increased usage by new and existing customers, annual price increases to offset the impact of inflation and our new commercial model, CargoWise Value Packs, launched in December 2025. Recurring revenue growth also includes $12.3 million in FX tailwinds.

CargoWise revenue was up $74.7 million or 11%. Of that, $56.6 million was organic. $38.5 million came from existing customers and $18.1 million from new customers with $8.7 million from FY '25 and FY '26 M&A and a $9.3 million FX tailwind. Non-CargoWise revenue included $6.1 million from FY '25 M&A and continued contraction of earlier acquisitions as expected. Here, you see overall operating expenses for FY '26. As expected, e2open has changed the shape of our cost base, mainly in lower product design and development, which reflects e2open's sales-led approach. This is evolving as we transition them to a product-led model. Looking at the group's overall cost base, we expect benefits from driving efficiencies over time, accelerated by the restructuring programs.

On an underlying basis, operating expenses as a percentage of revenue was down 2 percentage points on FY '25. Product design and development expenses increased by $68.5 million in FY '26, driven by e2open consolidation. These expenses represented 13% of revenue in FY '26, down 2 percentage points on FY '25. This reflects the impact of e2open's approach to R&D, which has a lower proportion of product design and development headcount and a lower R&D capitalization rate compared to the rest of WiseTech.

Excluding e2open, product design and development expenses increased $3.3 million in FY '26, reflecting continued investment in CargoWise development, partly offset by restructuring program exits. Sales and marketing expenses increased by $42.8 million on FY '25, reflecting the consolidation of e2open. General and administration expenses were 19% of total revenue, up 2 percentage points on FY '25, reflecting $67.1 million from restructuring program costs and the loss on the Expedient divestment, partly offset by lower e2open M&A costs. Underlying G&A expenses as a percentage of revenue were 13%, flat on FY '25, reflecting ongoing legal and advisory costs, including the shareholder class action defense and other legal and Board advisory matters, offset by e2open cost synergy benefits.

Next, our continued R&D investment in product innovation, a key differentiator and value driver for the group. Our investment rose $76.9 million or 29% on FY '25, reflecting the e2open acquisition. We reinvested 24% of revenue into R&D, down 9 percentage points on FY '25. 45% of R&D investment was capitalized, down 10 points on FY '25. e2open's model puts more weight on sales, so it invests and capitalizes less than the rest of WiseTech. Capitalized development is expected to increase as e2open moves towards a product-led model. Excluding e2open, 30% of FY '26 revenue was reinvested in R&D, down 4 percentage points on FY '25 from restructuring program exits. 52% of R&D was capitalized, down 3 percentage points on FY '25 from a one-off product alignment.

The WIP development cost balance decreased by 54% to $39.2 million at June 2026. Over the past few years, WIP built up as we invested in large multiyear development projects. In FY '26, a number of those products were commercialized and as a result, costs moved out of WIP. This is the normal path of R&D. Prior period spend converts from WIP into commercial products while development continues. In FY '26, we delivered 1,827 new product enhancements on the CargoWise application suite, an increase of nearly 50% on FY '25. That brings total enhancements to more than 6,500 over the last 5 years from more than $1.1 billion invested.

Moving to the balance sheet. Our strong liquidity position provides a solid platform for future growth, supported by a cash position of $343.5 million as at 30 June 2026. Receivables increased to $103.3 million, reflecting the consolidation of e2open and CargoWise revenue growth and the new commercial model transition. Intangible assets grew by $2.2 billion, mostly from the e2open acquisition with $1.4 billion of goodwill and $0.9 billion of acquired intangible assets such as intellectual property, partly offset by amortization. We entered into a $3 billion unsecured syndicated debt facility to complete the e2open acquisition, refinance existing debt and provide additional working capital. $2.2 billion was outstanding at 30 June 2026.

The $87.7 million increase of new share capital mainly funds our employee equity program. Disciplined capital management, together with the benefits of our restructuring and efficiency programs has enabled us to accelerate our deleveraging pathway. Net leverage is now 2.7x as at 30 June 2026, beating our previously stated approximately 3x target and down from 3.2x at the half year. We will look to deleverage to approximately 2.2x by the end of FY '27, ahead of our previous target of approximately 2.5x and to less than 2x in FY '28, earlier than our previously targeted time line of 31 August 2028. Operating cash flows increased by 29% on FY '25 to $564 million. Underlying operating cash flow increased 46% on FY '25, demonstrating our highly cash-generative operating model.

Underlying operating cash flow conversion ratio of 100% was down 7 percentage points on FY '25, reflecting large one-off working capital changes due to commercial contract arrangements, which have created a short-term impact on cash flow conversion. Free cash flow was up 43% to $410.7 million. Underlying free cash flow was up 67% to $489.6 million. Underlying free cash flow conversion was 76%, up 5 percentage points on FY '25. We continue to reinvest cash into long-term growth. $153.3 million went mainly to product development and building out our data center capacity. Adding total revenue growth and free cash flow margins, we delivered a Rule of 40 of 108% in FY '26, up 57 percentage points driven by the first-time consolidation of e2open.

On an underlying basis, Rule of 40 was 114%, up 62 percentage points. Excluding e2open, underlying Rule of 40 was 45%, down 7 percentage points on FY '25. To sum up, we met revenue guidance and exceeded guidance EBITDA and EBITDA margin. We delivered e2open cost synergies well ahead of plan, plus $34 million of annual run rate EBITDA savings through the AI Transformation program. Importantly, our restructuring and AI-driven productivity initiatives have established a more efficient operating model and a structurally lower cost base. providing a strong foundation for continued margin expansion. We exited the year with a strong liquidity position and an accelerated deleveraging pathway, giving us flexibility for investing in longer-term growth.

I'll now hand back to Zubin.

Thanks, Caroline. I'll spend the rest of my time on strategy, where WiseTech is heading, how we get there and why we are confident in the opportunity ahead. Let me start with why our position strengthens as AI becomes more capable. One of our biggest advantages is the network we have built over more than 30 years, a global connected ecosystem inside mission-critical, live regulated trade, supply chain and logistics workflows. Look at what that means in practice. Our customs solutions cover around 80% of the world's manufactured trade flows across 193 countries. We track more than 95 million ocean containers. We connect over 500,000 enterprises, more than 400 airlines, over 160 ocean carriers and every Class 1 railroad in North America.

AI cannot recreate what we have built. These are commercial relationships, government integrations, complex workflows we are embedded in and rich data sets that took decades to build. As AI grows more powerful, our network grows more valuable. We have a strong starting position. Automation has been deeply embedded into our solutions, including CargoWise for many years. AI builds on that base. It strengthens the network, data and workflows we already operate at scale. Combined, this means we deliver more value to our customers faster. That is why our position gets stronger as the technology advances. Customers want trusted systems, not just software. The business is best placed to benefit from AI share a few traits.

WiseTech has all of them. You need to be a system of record and execution, part of the work itself, not an application beside it. Our platforms sit inside and run the end-to-end workflows where the work gets done. We operate mission-critical logistics and supply chain operating systems where trust is essential. In our industry, mistakes stop shipments, breach regulations or delay payments. That creates a significant advantage for established platforms like ours. Unique proprietary and aggregated data is another. We hold deep transaction level data generated daily through live workflows. That gives us unique visibility into global supply chains no one can simply download. You also need a commercial model built for an AI-led world.

The CargoWise Value Packs do exactly this. CargoWise Value Packs price on the value available to customers, the transactions and work flowing through the platform, not the number of people logging in. When our customers grow, move more freight and win more business with the help of AI, we grow with them. We share in efficiency gains that AI unlocks for our customers. Over FY '27, we will apply the same value-based approach to e2open. We will simplify commercial models, align pricing to customer usage and value, standardize product-led solutions and build bundled solutions across e2open, CargoWise and the wider WiseTech portfolio. This slide shows how AI is changing WiseTech and delivering measurable results. But it's important to recognize that AI builds on what we have been developing for many years, automation, machine learning and workflow orchestration.

AI accelerates those capabilities, allowing us to automate more complex tasks, improve decision-making and deliver the valuable products our customers need and want. I covered the $34 million of annualized EBITDA run rate savings from our AI transformation. That adds to the $17 million of annualized EBITDA run rate savings from our first half efficiency program focused on high-performance teams, automation and AI. Today, more than 75% of our people use AI in their day-to-day work, and that translates into measured productivity gains. More than 90% of our code is written or assisted by AI. Engineering productivity rose 45% measured through our productivity acceleration and visualization engine and customer service completes support tickets 22% faster with AI.

Usage of early AI capabilities launched with CargoWise Value Packs has increased substantially since launch in December 2025. And as you will see on the next slide, we have a strong pipeline of AI agents already underway. The value for customers is real and measurable. As we have said previously, CargoWise AI capabilities are targeted to provide up to approximately 50% labor cost savings for logistics service providers. For some of our larger customers, even a 10% reduction in labor cost represents approximately $180 million to $300 million in annual savings. We continue to engage with our remaining large STL customers on moving to CargoWise Value Packs and our AI capabilities.

Given the scale and complexity of these organizations, adoption takes time. We have a proven track record of supporting large global customers through complex transitions. As we continue to demonstrate the value available through CargoWise Value Packs and our AI capabilities, we remain confident in the opportunity. This slide shows the next stage in the evolution of our CargoWise AI capabilities, AI-powered workflows that move from assisting work to performing work. Across our platforms, AI already ingests and understands documents, assists with customs classification and compliance, benchmarks freight rates, improves demand sensing, optimizes inventory, supports onboarding and exception handling and helps users work better.

Here, you see how these capabilities work together inside workflows from data ingestion through to managing exceptions, not just as stand-alone tools. A good example is our Smart Auto-Request Agent. Rather than just helping an operator decide what to do next, the agent monitors a live shipment, identifies missing information, creates and sends requests to the right parties via multiple channels, including CargoWise Neo, receives responses and documents and brings the outcome back into CargoWise. The customer sees a single workflow. Behind the scenes, multiple AI agents work together across a sequence of decisions and actions with a substantial reduction in the need for human intervention.

The same principle applies across the agents on the slide. document checking and validation, product research, operational intelligence, digital assistance, automated job creation and track and trace automation, all reduce manual work. Compliance is where agentic AI creates the most value for our customers, and it is also where the bar is highest. We have already proven the building blocks. Our document ingestion AI is available across customs and finance workflows and our Smart Auto-Request Agent operates in operational workflows end-to-end. CargoWise AI agents that relate to compliance will be trained across a wide range of countries, commodities and real customer transactions, then refined further by shadowing experienced operators in live workflows.

Statistical and functional evidence of agent performance will provide customers and regulators confidence in outcomes. The threshold is deliberately high, and our Agentic capabilities ensure skilled human operators conduct final reviews and decisions when a compliance obligation is being actioned. This is a substantial undertaking. The training data, industry data, domain expertise and customer network required to succeed are exactly what WiseTech has built over 3 decades. Every capability we build applies across more products, more workflows and a larger customer network. Customers gain efficiency, which aligns with our value-based pricing. As customers realize that value, WiseTech can capture our share of the value created while delivering compelling returns for our customers.

That leads to our next slide. AI strengthens today's products and accelerates our expansion into new markets. We have expanded beyond logistics execution. Today, we are building the operating system for 5 markets. This is central to our long-term sustainable growth. Each is a large market where we already hold the customers, connectivity and proprietary data that defend our position. The first is logistics and transport, anchored by CargoWise. This market underpins more than $12 trillion of global goods movements and growth opportunities remain. We will migrate our largest customers onto the new commercial model. Agentic AI now automates a growing number of tasks across forwarding and customs workflows. We will continue to build out our native global customs coverage and container transport optimization creates a new long-term revenue opportunity.

The second is connected supply chain orchestration accessed through e2open. Here, we orchestrate supply and demand across planning, procurement, channel, supply collaboration and associated logistics. Already a leader in the supply chain space, we will continue to consolidate e2open's portfolio into one integrated platform and apply the same product-led discipline that built CargoWise. This is the largest expansion of our addressable market in WiseTech's history. Next is trade finance and banking. Over 90% of world trade relies on trade finance, yet a financing gap of around $2.5 trillion remains. Part of that gap is a verification problem. A financier needs confidence that the underlying trade is genuine. We hold the physical evidence of that transaction, the order, the documentation and the electronic bill of lading. This capability traces back to our Bolero acquisition.

Fourth is customs, border and government agencies. Our customs solutions already cover approximately 80% of the world's manufactured trade flows. What is new is government becoming our direct customer. In New Zealand, our BorderWise platform serves the entire trade community. Through our solutions, we are digitizing the relationship between trade and government, replacing fragmented processes, e-mails, documents and data formats with integrated digital infrastructure. That position is very hard to replicate. Fifth is verified identity, trust and data through VerifyWise. This opportunity spans every market I have described. Every participant across global supply chains and trade must be able to verify exactly who they transact with and regulation is tightening that obligation.

In July, we announced the strategic acquisition of FRDM.ai to accelerate this capability. FRDM.ai maps supplier networks well beyond the first tier, drawing on more than 6 billion trade records to enable our customers to manage increasingly mandatory compliance regulations, including modern slavery, forced labor, sanctions, embargoes, denied parties and many other regulatory schemes. Of the 5 markets, I want to spend more time on VerifyWise. Revenue will begin in FY '27, and we see a large opportunity emerging over time. The premise is simple. Around the world, regulations are raising the obligation on companies to know who they do business with, where products come from and what risks sit within their supply chains. This goes beyond compliance. It's about keeping access to markets while enabling greater visibility for ethical and sustainable business practices.

What makes this opportunity attractive is the way it spreads. Every company has suppliers. Those suppliers have suppliers. Each faces the same obligation to show they are safe and compliant to do business with. When one organization adopts VerifyWise, it has a direct incentive to bring its suppliers onto the platform because its own compliance depends on it. Those suppliers can then use that verification with other customers who bring in their own suppliers. As more participants join, the platform gains value. We gain wider visibility across supply chains, richer data and stronger verification, which benefits every participant already connected. Just as importantly, we are not starting from zero.

FRDM.ai brings multi-tier supplier mapping and real-time risk scoring built on more than 6 billion trade records with prebuilt frameworks across major due diligence regimes. Combined with BorderWise, denied party screening, global knowledge and our rich logistics and trade data sets, that becomes VerifyWise, a single platform for multi-tier verification. We will take it directly to more than 20,000 customers and over 500,000 connected enterprises already on our network. Our FY '27 guidance assumes an initial contribution from VerifyWise with a larger long-term opportunity. The 5 markets I've just talked about connect through the same industry participants, the same data and the same network. That is what makes this strategy work.

We will extend the infrastructure we built over more than 30 years across a much larger part of global trade and supply chains. The long-term opportunity across these 5 markets is significant. In FY '27, we will drive growth from the products and customer relationships we already have. In CargoWise, we will pursue large global freight forwarder rollouts, wider adoption of CargoWise value packs across all markets, including SMEs, and more customer usage and monetization as we deliver more AI-powered capabilities into workflows. In e2open, we will continue to invest in our leading products, strengthen the value we deliver to customers and build on the leadership positions the portfolio holds today. Alongside this, we will improve customer retention, increase adoption and introduce scalable value-based commercial models.

We will also bundle solutions across CargoWise, e2open and the wider WiseTech portfolio, increasing the value we deliver to customers. We will also monetize new growth initiatives. VerifyWise gained strength through the FRDM.ai acquisition, and we expect an initial contribution in FY '27 while also continuing to build on our value-based pricing across our products through the productivity and efficiency benefits we deliver for our customers. Together, they give us multiple avenues to grow in the near term while we build the foundations for much larger opportunities over the longer term. This brings me to our outlook for FY '27.

Assuming there are no material changes to these assumptions and no unforeseen events that arise prior to 30 June 2027, we expect to deliver total revenue of $1.48 billion to $1.54 billion, representing growth of 6% to 10% on FY '26. The range reflects our view on adoption of the CargoWise new commercial model by customers, further delivery and adoption of agentic AI in CargoWise and the launch and adoption of new products, including VerifyWise. These levers have customer dependencies. And at the lower end of guidance, we are assuming growth in line with FY '26 and modest adoption of new initiatives and at the upper end assumes accelerated adoption. We expect CargoWise revenue growth of approximately 12% to 20%. This will be driven by further agentic AI feature delivery in CargoWise and the initial launch of VerifyWise, alongside large global freight forwarder rollouts and growth from new and existing customers.

Our guidance assumes a CargoWise revenue skew of 45-55 between the first and second half, reflecting the timing and expected uptake of new products and AI features. For e2open, we expect revenue to be flat as we focus on integration, product and revenue synergies and shift away from lower-margin legacy revenue. FY '27 includes an additional month from full year consolidation and absorbs an approximately $5 million headwind from the Expedient divestment completed in June 2026. Turning to underlying EBITDA. We expect to deliver $725 million to $780 million, representing growth of 12% to 21% and an underlying EBITDA margin of 49% to 51%, an expansion of 3 to 5 percentage points on FY '26.

Taken together, our FY '27 guidance reflects a business with stronger margins, a more efficient cost base and a growing pipeline of product and commercial opportunities. Our focus now is to convert those foundations into further revenue momentum and greater value for our customers and shareholders. To summarize, FY '26 was transformational. We delivered record revenue growth. We exceeded guidance EBITDA, integrated e2open and reduced our cost base by approximately $115 million on an annualized run rate basis. We enter FY '27 a stronger and more disciplined company.

We now operate across 5 deep regulated markets connected by one network, one data set, customer base and talented global team built over more than 30 years. AI strengthens that position. And our commercial model means that as our customers benefit from what our solutions deliver, WiseTech shares in it. FY '27 is about momentum, delivering large global freight forwarder rollouts, increasing CargoWise Value Packs adoption, converting AI-driven customer value into revenue, accelerating e2open integration and synergies and scaling VerifyWise in market. We are confident about the path ahead and excited about what comes next.

Thank you. We'll now open for questions.

[Operator Instructions] Your first question comes from Eric Choi with Barrenjoey.

Can I just check the thesis that you're building product momentum first and then maybe monetizing later? And I say that just because industry feedback suggests some freight forwarders are now passing on CargoWise cost to end customers and some of them are using features like Neo to save on other software like Logixboard and Zubin, you're kind of flagging VerifyWise as well. But my broad point is it seems like LGFFs are benefiting from new cost savings. And so I'm just wondering, are you assuming monetization of this cost benefit in your second half FY '27 guidance? And maybe, I don't know, could it incentivize remaining LGFFs to come across? Or could you price to value for these additional benefits across the broader base?

Thanks, Eric. Good to hear from you. Look, we are seeing more customers pass on the CargoWise Value Pack fees to their customers. But it's important to remember that, that's an optional feature and at the discretion of our customers. And actually, whether they pass it on or not really isn't a driver of growth. What is a driver of growth is that the CVP model makes it far easier for customers to adopt CargoWise. We're seeing an increase in signings of 30% since the launch of CVP. We're seeing an increase in signings of SME customers by even 55%.

And that's typically a segment of the market that we didn't do very well in that SME space because of our prior commercial model. You're right on the second half '27 skew and on the focus there. There is a skew towards the second half, and that's driven largely by 3 things. The first is STL to CVP conversion for the remaining 5% of our customers. The second is the delivery of efficiencies to our customers through automation, obviously, including AI and then how we take a small slice of that based on the value we deliver. And the third is the adoption of VerifyWise. Now all of those initiatives are typically second half skewed simply because of timing. VerifyWise is a relatively new product. We have many of the building blocks. We've acquired FRDM.ai. We have BorderWise. We have our global knowledge and our data sets, but monetizing that will fall more into the second half.

Also, you talk about sort of on the AI efficiency, I talk about how we will monetize that. We do have a number of agents live already. But in our industry, given the significant focus on compliance, it's not just about releasing agents and saying we have 10 agents or 15 agents or 30 agents. It's about really building agents that are stress tested and solve some of the most complex issues in the industry, and that takes time. So again, that's why that is second half skewed.

I have a super quick follow-up, Zubin, if that's okay. Thank you so much for confirming your price to value in the second half '27. I was just wondering, how does TPP play around with the mechanics? Because I mean, obviously, TPP reduces cost for some customers and increases it for others. My question is, do you assume the removal of that in guidance? And would that be a net positive or a net negative?

Yes. So Transitional Pricing Protection or TPP, it's not really a driver when we talk about growth. You've seen in the past as we've transitioned commercial models every 10 or 12 years, that transition can take 2 to 3 years for all customers to move across. Now TPP is entirely at our discretion, and it's something that we will look at regularly and regularly evaluate, but it's not really a factor when you consider CargoWise growth.

Your next question comes from Lucy Huang with UBS.

So my question is around FY '26 organic CargoWise revenue growth because it did slow to 8%. And I think you mentioned those refinements that were made in the second half. So just wondering if you can give us some color on what these refinements were. And if they weren't made, like would you have been able to hit the low end of your previous CargoWise guidance range of 14% to 21%? Or would you have landed towards the midpoint? Just trying to work out what that delta was.

Yes. Thanks, Lucy. Look, you're right, we landed at 11% growth for CargoWise, and we had put an assumption in we'd land at 14% to 21%. It's important to obviously note that we did land within the revenue guidance range, which was very important for us. You're right that the refinements that we made to the model in the second half really drove that slightly lower CargoWise growth. Now these refinements were important refinements to make, and they were based on customer usage and feedback as we rolled out the CVP model to the 95% of customers. Now this is something we've done every 10 to 12 years. And keep in mind that this commercial model change was quite substantial.

We were moving from quite bespoke and individual pricing arrangements to community pricing. So you can understand that in a transition like that, there will be things that are discovered along the way that we need to refine. It's not an unexpected outcome for us. It's also important to note that these refinements we've made are critical for medium- and long-term growth of CargoWise, and we are very focused on how we grow in the medium and long term despite some impact in the short term.

And so will those refinements unwind in second half '27 in sync with that kind of second half skew you mentioned before?

No, these are refinements that are part of the commercial model. These are refinements that will live with the commercial model for as long as we stay with this commercial model. These were important changes to really ensure that CVP was a medium- and long-term success for all of our customers.

Great. Can I just tease that out just a little bit more? Was that like a rebate or a price that -- are those the types of refinements where.

No, no, no. These are not rebates or incentives or anything like that. These were changes to how the commercial model actually works in terms of timing of billing and operationalizing of how the commercial model works for our customers. These weren't financial incentives that we gave to customers.

Your next question comes from Siraj Ahmed with Citigroup.

Zubin, just following up from those questions because the key question in debate is whether -- because you've got growth slowing to 6% in the first half implied by the guidance and then an acceleration, right? On those 3 points you mentioned, can I just double-click on that? So you mentioned STL to CVP, we just saw in the second half and just mentioned refinements, right? So do you still expect the larger forwarders to pay you more?

Second thing, in terms of AI efficiency, you -- I mean, how does that work in the CVP mechanism? Are you going to put that as a new module -- or do you just put pricing up for the packages? And third thing, you're saying standard price increases in the appendix for your guidance. I don't think you have increased prices when I look at the list prices. So is that another -- are you putting up pricing in first Jan and so there's a second half skew. So just the building blocks would be really helpful.

Sure. Thanks, Siraj. So you're right. I mean there are 3 building blocks for that second half skew. As I mentioned, VerifyWise, AI efficiency, STL to CVP conversions. You focused on the last one. So yes, we are still working very hard to convert the remaining 5% of customers across to CVP. And as we convert them, and obviously, there will be some transitionary arrangements in place as there have been with prior commercial model changes. After those transitionary arrangements are over, yes, there is a significant revenue uplift for us from moving those 5% of customers across. Remember that these customers will ultimately move across to community pricing, and that means a lot of the volume discounts and so on fall away.

That's the whole point of community pricing. It puts everyone on a level playing field. Again, there will be some transitionary arrangements that are in place. Now on the AI efficiency, I think the right way to answer that is that AI is just another way for us to do what we've done for 32 years, and that is to deliver automation, efficiency and productivity for our customers. Of course, AI is a significant unlocker of that, and it's probably the most significant in our lifetimes. And how we monetize that is ultimately by taking a small slice of the value that we deliver to our customers.

Even taking a small slice of that value, given how large that value and efficiency could be to our customers could be quite significant to us in terms of incremental revenue. We quoted a figure in the results deck, Siraj, where we said that for some of our larger customers, even a 10% labor saving could be $180 million to $300 million saving for those customers. Even if we took a tiny slice of that, you can see how meaningful that would be for WiseTech.

And what about the standard price increase? Is that now 1st January or something? Because I don't see a price increase on the website.

Yes. Siraj, look, we've not disclosed the timing of the price increase, but I think most people will be aware that we did not put a price increase through for a number of customers on CVP on 1 July. And so that obviously had an impact on the CargoWise growth rates in the first half.

Okay. So that's an assumption into the second half then? Okay all right. Thank you.

Your next question comes from Andrew Gillies with Macquarie.

Just a quick clarification on the margin guidance. Does return to over 50% underlying EBITDA margin in the second half of '27 imply that the first half would be below 50%? And then just a quick sort of follow-up to that. If I look at the underlying EBITDA exit margin, it's quite strong versus your guide for '27. You've announced a little bit of extra cost out. I appreciate another month of e2open, but you're also exiting some of those lower-margin consulting revenues. Can you just help me reconcile these drivers to the comment around greater than 50% group EBITDA margin requires accelerated adoption? Like are there more cost-out opportunities? And how should we think about the cadence of that first half, second half in '27?

Yes, sure. So on the first part of your question and in relation to the second half and getting to underlying EBITDA at 50-plus percent levels, the reason why we're saying it's second half is because alongside the driver of where we get to in the revenue range, it's similar to where we get to in terms of the EBITDA rate range. And so it's really dependent on our ability to accelerate the delivery and adoption of new initiatives. And in terms of whether we get there in the first or second half, it really depends on the rate of adoption. And we've been quite clear to say that at the bottom end of the range, it does require some adoption of the new initiative and getting to the top end essentially requires us to accelerate that time line.

And then I think on your second question, you were talking about the underlying exit rate. I think it's important to note that if you look at the exit rates coming out of the group for FY '26, it was essentially at 47%. And that's the EBITDA margin rate that we're going to carry with us into the first half of FY '27. And you'll see the pickup in the second half, about 7 to 8 percentage points at the top end of the range, again, dependent on the accelerated adoption of the new initiatives. So I'd say there's more dependency in terms of customer uptake and adoption and delivery of new initiatives. There is obviously still some ongoing cost restructuring that will happen in FY '27, and we provided the numbers that we're expecting it to be net savings of approximately $10 million in FY '27.

Okay. Perfect. And then maybe just one super quick follow-up. You obviously rolled AI out to a few function expenses in a lot of detail, $10 million of net cost out next year. Is it reasonable to assume that there are may be other opportunities in some of your other function expenses? I appreciate you're not guiding to it, but are you guys looking at that currently?

Yes, absolutely. Look, when we announced the AI Transformation program in February, we did say that we were first focusing on product and development and customer service because those are the functions where we have seen the most success with AI. But we also did say that as part of building our high-performance teams and embedding the business in terms of AI-led thinking, we were going to be taking that mindset across the rest of the business. And so yes, some of the savings that we're expecting in FY '27 are in other teams that are not just product and development or customer service.

Your next question comes from Roger Samuel with Jefferies.

Just like to circle back to CargoWise revenue growth in FY '26. When I look at your second half CargoWise revenue growth, it was roughly about 10%. I'm just wondering what's the exit rate of that growth towards the end of FY '26. You mentioned about some of the refinements that you've made. I'd just like to get some confidence that you can deliver to that 12% to 20% in FY '27. And maybe just to clarify, do you include the contribution of FRDM.ai in CargoWise revenue going forward?

Yes, sure. So the exit rates for FY '26 in the second half are about 10%, as you said. And so in the first half of '27, if you look at the, I guess, the midpoint of the guidance, it is coming down slightly at around 9%, but it's essentially the same growth rate. And yes, we are including FRDM in CargoWise growth going forward.

Yes, that's great. So you're not assuming any contribution from things like CTO? I mean that's more longer term in FY '27.

Yes. So on -- there's some noise there. On CTO, as we've said today, we are now live with CTO, and the product has been complete for some time with a number of optimizations around dead leg removal, live leg compression and so on. The interesting point to really raise here is that given we have a number of the building blocks here to make this very successful in the medium and long term. We already own Matchbox Exchange and through the e2open acquisition, we own Avantida, which are 2 providers of container transport optimization solutions.

So we already have revenue in the CTO space. We already have customers in the CTO or container transport optimization space, and we already have significant domain experience here. So the opportunity here is significant. It isn't necessarily a material driver of FY '27, which is why we talked about the 3 very specific levers. But it is a medium- and long-term growth lever for us. And I think it's important for us to have short-, medium- and long-term growth drivers for the business.

Your next question comes from Tom Beadle with RBC.

Just on the cost guidance, I'm just trying to work out the moving parts. I must admit it does appear a bit conservative to me. So I mean, on an underlying basis, you're effectively guiding to flat costs, but you're obviously benefiting from the annualized savings from your restructuring programs, which were second half weighted to an extent as well as those AI savings. I know there's -- you've got that extra month of e2open in there that might add $30-odd million to your cost base. But just what else is getting you back to flat?

Tom, in relation to the underlying EBITDA margins, we are expecting a 3 to 5 percentage point margin expansion in FY '27. So I guess from our perspective, that's a very strong story around the momentum that we've managed to build from the programs that we carried out in FY '26, which, as we stated, delivered approximately $115 million of annualized run rate savings. Now a decent portion of that obviously came from e2open, which was carried out much earlier in the year. And so therefore, the run rate savings get to '27 is a bit lower for those ones. But in relation to the AI transformation program, I mean, that happened at the end of FY '26. So that's where a lot of the momentum is going to come into FY '27.

And we are expecting some additional cost out in FY '27. We said approximately $40 million in annualized run rate savings. I guess the other aspects to remember as well is that we are continuing to invest in AI the investment in '27 is going to be higher than FY '26. And so that's one aspect on the cost side that we need to take into account.

Your next question comes from Paul Mason with E&P.

About in prior results, it looks like it's dropped away. And I thought was sort of like the overarching strategy behind the e2open acquisition. I was just sort of wanting to get like an update on sort of what's going on with the concept there? Have you like to change the name of that? Or is it sort of being replaced by a different strategy? Yes.

Paul, sorry, we missed the first probably one sentence of your question, so we don't have the context. Could you just repeat that again, please?

Okay. Sure. Yes, I was just hoping to get sort of a bit of an update on the TradeWise.net concept that you guys have talked about in prior results and sort of because you haven't mentioned that in this slide deck, I thought that was sort of like the overarching strategy behind buying e2open from a product perspective. And so just like have you guys renamed that or sort of tweak what you're doing there? What's sort of the context for that not being represented today?

It's a great question, Paul. Nothing has changed in terms of our strategy with our product strategy with e2open. We talked about the 3 horizons, obviously, when we acquired the business. The first horizon was very much about cost synergies and integration, which we achieved earlier than target. Second is really also about further cost synergies, but also starting to lay the foundations for growth in that business and product synergies, which we're working on as we speak. And the third is really then about monetizing those growth synergies. TradeWise continues to be the vision for our orchestrated supply chain solutions that brings together supply, demand, channel planning and all of the assets that e2open have. How we brand that, we'll work on that and announce that at the right time, but that product strategy has not changed at all.

Your next question comes from Lucy Huang with UBS.

I just have a follow-up question around e2open. In the remarks, you mentioned that you're moving to also like a more value-based commercial model. Just wondering any learnings you've had from this recent CVP experience and what your takeaway into that e2open transition? And how should we be thinking about kind of the growth that could come from the transition result in the medium to longer term?

Yes. Look, I think the CargoWise Value Pack launch was quite a unique proposition. It was at a time when AI was suddenly becoming quite widely adopted in the industry and changing how licensing had to work. Charging by seats was simply not a proposition that we could manage to do anymore. The idea of charging based on value or based on transactions is very aligned with our thinking, and that's exactly what we intend to do with the e2open really great products and assets. It's part of what we would call the WiseTech Way. It's how we adopt the WiseTech Way, the way that we built CargoWise to be so successful and apply that into the e2open products as well. A big part of that is standardization of those products rather than the current focus on customizations.

I'd also add a point as well to say that with e2open, we're taking the approach where, as Zubin has just mentioned, the initial focus is more moving the business away from the sales-led model towards a product-led model, doing the standardization. And so I'd say the first step in terms of the commercial alignment we've done is not necessarily to move them straight on to the WiseTech or the CargoWise traditional way of billing. Many of the e2open businesses still bill in the traditional sense in terms of subscription revenue that isn't necessarily value-based. It can be a fixed price for a year. They're often multiyear agreements.

And so for us, we're making commercial decisions about, yes, where it's possible, where it makes sense and where it's a benefit to the customer in terms of retention, we're moving them towards a value-based model, monthly billing in arrears similar to CargoWise. But for those where the customers are a little bit more complex, or there's other issues that we need to manage first, I'd say, first and foremost, we're focusing on the product-led approach and customer retention and the move to the commercial model can happen a bit later.

[Operator Instructions] Your next question comes from Siraj Ahmed with Citigroup.

Can I just check on the AI features for the agent features you're launching? It seems a bit delayed than what I had expected. When do you expect to release those features in terms of time frame or the key ones that you're thinking in that slide? And secondly, just on VerifyWise, I mean you had some issues in monetizing products, but it takes a bit longer, right? So just confirming the confidence in the second half contribution. Do you already have customers lined up to actually give revenue in the second half?

Thanks, Siraj. It's a good question. So no, I wouldn't say that we're delayed at all on the CargoWise AI agents. We talked about having 4 agents in very early release the last time we spoke at the half year. We have rolled out 2 quite significant additional agentic capabilities. It's not really correct to call them 2 agents. It's actually made up of many agents, but it's 2 capabilities. And as I was saying in one of my earlier answers, we aren't necessarily focused on putting out numbers like we've done 10 or 15 or 20 agents just for the sake of that.

We are very focused on building really robust compliance-focused agents that are well tested and are sort of stress tested against real data against real commodities and against real country data as well and also shadowing real operators in the industry. So that does take time, but that's the only way that we can be successful here. We are not in a rush to just put more and more agents out into the product. Now we have a very deep operational plan and road map for the delivery of those agents as we showed at a high level on that slide. And as we've also said, as we roll out those agents and deliver even more efficiency into our customer base, there's a real opportunity there for us to take even a small slice of the value that we deliver.

Now on VerifyWise, we do have all of the building blocks. And yes, we do have customers. The FRDM.ai acquisition, obviously, they have customers as part of their platform that we can further monetize. We obviously have a large number of customers through the CargoWise ecosystem. And we also have an even larger number of customers through the e2open ecosystem. All of those customers, every single one of those customers and every single one of our carrier connections, airline connections, banking connections and so on, all of those organizations have the potential to be VerifyWise customers. So yes, there is risk here. There's always risk when we're innovating.

And that's why we've explained the building blocks of how we go from sort of the lower end of FY '27 guidance, which takes into account some modest adoption of these initiatives up to the upper end, which is where there's an accelerated adoption of these initiatives.

Got it. Just a quick question as well. On -- I think you mentioned you removed 1,200 headcount as part of the AI transformation. I think from memory, you were supposed to remove 2,000 heads. So is there more to come? Or have you actually reduced the potential there?

Yes. Thanks, Siraj. So yes, we -- as part of that transformation, we've removed 1,200 roles from WiseTech globally. And that's about 50% of product and development and customer service. When we announced that program at the half year, we did say it would be across the entire business and that it would run into FY '27. So whilst there are other functions that we are still looking at, it's very important that we understand we're doing that more as a BAU focus on high-performance teams and further adoption of AI. We also said in that 2,000 number that a large number of those 2,000 were actually made up of e2open professional services teams.

And we had spoken before about how that wasn't necessarily a part of the business that we wanted to own whilst very important for the industry. And we're continuing to evaluate how we would potentially transition those professional services teams to partner networks and so on.

Your next question comes from Roy Van Keulen with Morningstar.

So on the new AI capabilities, there's a target of 50% labor cost savings, but I was wondering how much labor savings your most AI enthusiastic customers are already seeing, how that's evolving? And I'm sure you benchmark this for sales purposes, so a number would be great.

Thanks, Roy Van. Good to talk to you. I will also just call out this is the last question. Look, we aren't disclosing the percentage savings that we're at now. I would say that we are progressed on rolling out those agents, as we've talked about on the slide, but there is substantially more work to be done here to really make those agents robust and work in a very regulatory and compliance-driven industry. And that's not to say that it will take substantially more time. There's obviously work to be done there, but we are not in a rush to roll those out.

Our focus is on getting them to be robust and then releasing them to market in testing, in pilot and then making them more and more robust as we shadow real live operators. So there isn't a specific number I can give you there, Roy. But I can say that our target of 50% remains our target over the next sort of 18 months to 2 years and that a 50% labor saving would be quite substantial for our customers of all sizes. Thanks, Roy. Thank you, everyone, for your time. We appreciate the interest and the discussion.

Thank you for standing by, and welcome to the WiseTech Global Limited First Half 2026 Results. [Operator Instructions]

I would now like to hand the conference over to Mr. Zubin Appoo, CEO. Please go ahead.

Good morning, everyone, and thank you for joining us at our first half FY '26 results briefing. This half, we delivered in line with our expectations. Reported revenue growth was 76% and reported EBITDA margin was 38%. There are 4 key points to focus on today. First, we executed with discipline and delivered results in line with our expectations, and we are confident in our outlook. Second, we continue on our deliberate AI transformation journey. And today, we are announcing a further significant step towards that goal. We have been building toward this for some time. And as we lean in further, AI is strengthening our advantage, enabling significantly more automation and value for our customers, embedding our products more deeply into their daily operations and unlocking levels of efficiency gains across WiseTech that were previously out of reach.

Third, our new commercial model is now live with CargoWise Value Packs rolled out to approximately 95% of CargoWise customers. The CargoWise Value Packs align pricing directly to value delivered by removing seat or user fees and charging only on a transactional basis. As AI reshapes labor dynamics across Global Logistics, our new commercial model ensures labor efficiencies and headcount do not negatively impact our revenue. For customers on long-term commitment agreements, the expanded functionality available through the CargoWise Value Packs, particularly embedded AI driving measurable productivity and risk reduction creates a strong incentive to transition ahead of commitment agreement expiry. Importantly, this cohort represents approximately 30% of our CargoWise revenue. So as they move on to CargoWise Value Packs, this will drive increased revenue growth. Container transport optimization is in the process of implementation with our launch partner, ACFS Port Logistics.

And fourth, e2open integration is well progressed. We've taken clear steps to align products, teams and operating models with the WiseTech way, and we have achieved our Horizon 1 FY '27 cost synergy target of $50 million annualized run rate savings nearly 1.5 years earlier than planned. This half has been about disciplined delivery, positioning the business for the next phase of growth and doing the work that matters most, executing on our commercial model, integration of e2open and AI transformations while maintaining a focus on long-term customer and shareholder value. Before proceeding further, I want to address what AI means for WiseTech. AI has fundamentally reshaped how software is built and how businesses operate. We are approaching this shift with discipline, intent and a clear focus on long-term value creation while maintaining and advancing our meticulous approach to cybersecurity.

Throughout our more than 30-year history, WiseTech has always been a disruptor. We lead and make changes even when challenging, knowing the benefits will lead to a stronger and better WiseTech. We have been building toward this moment for some time through the adoption of AI internally and for our customers, and we are now taking the next decisive steps to becoming a truly AI-focused organization. From late 2024 to December 2025, we conceived, iterated and launched the new commercial model, moving away from seat-based pricing toward value and transactions, a fundamental redesign of how we monetize our products in an AI-enabled world. From early 2025, we increased investment in AI capabilities for our teams and announced our AI workflow and AI management engines for customer efficiency whilst beginning to reshape our workforce and operating model to become AI-led. Today, with the step change in AI capability, particularly in software development, we are entering the next phase of that strategy. This is the continuation and acceleration of a plan that we are executing with intent, conviction and pace.

Software development has experienced its most significant shift in decades. Large language models have fundamentally changed how code is written, tested and maintained. I am prepared to say this clearly, the era of manually writing code as the core act of engineering is over. What has not changed is the importance of deep domain expertise, knowing what to build, which problems matter and how global trade and logistics operate. AI amplifies the productivity of our expertise in logistics and trade, the rich data sets that WiseTech holds and the network advantage that we have built over 30 years. And it allows us to move faster from ideas to real customer value through the efficiencies it brings in software development and product creation.

Since my appointment as CEO, a key area of focus has been identifying how we leverage AI to drive meaningful productivity gains and structural efficiencies across the business. Over the past 6 months, I have worked closely with our senior product and development leaders to embed AI directly into our workflows as a core operating capability. As a result, we see clear evidence that we can deliver greater output in shorter time frames with smaller AI-enabled teams. Teams are already demonstrating what is possible when this capability is embedded deeply into design, build, testing and deployment workflows. AI is executing code reviews, generating automated test cases, identifying edge cases missed by humans, resolving defects end-to-end using agentic workflows and accelerating the pace at which we can deliver value to customers. We have seen the productivity improvements firsthand in our build of our AI workflow engine and other product development work in CargoWise.

We have made more than 500 role reductions during FY '26 as part of our efficiency program to align to our high-performance culture and drive AI use across the business. This phase of our efficiency program delivered net cost savings ahead of plan and ahead of schedule. We will continue to make changes across our business as we continue to redesign work in an AI operating model. We are now systematically mapping our software development workflows around these AI-enabled ways of working. The results achieved give us strong confidence that AI will materially reshape the economics of software development inside WiseTech over time. Very recent developments, particularly Anthropic's Claude OPUS 4.6 and OpenAI's GPT 5.3 codecs mean that we can now execute the next phase of this program with precision.

Starting in the second half of FY '26 and continuing into FY '27, we expect to reduce teams initially product and development and customer service across the company, including e2open, by up to 50% in terms of headcount. For our product and development teams, these reductions will focus on roles where we have seen AI dramatically improve throughput. Those with deep domain expertise and the ability to deconstruct and solve complex problems remain critical to our success. And as we further enhance our ACE AI agent, an AI-powered assistant across all of our product suites, this will continue to drive increased efficiency as customers gain access to increased self-service. As part of our long-term strategic focus on higher-margin recurring revenue and our commitment to building a higher performance culture, this program will likely result in a reduction of approximately 2,000 roles in FY '26 and into FY '27.

As AI capability continues to advance, we expect further efficiency gains over time. We recognize this will be difficult for our people. We're communicating these planned changes to our team following announcement to the market in line with our disclosure obligations. This decision was not taken lightly, but it is necessary to ensure we remain disciplined, nimble, competitive and future-ready. A transformation of this scale will fundamentally reshape our cost base whilst allowing for an uplift in productivity. While the impact is not expected to be material to FY '26 outcomes with execution costs likely offsetting any savings, the financial effects of the program will reflect a combination of cost savings, restructuring costs and capitalized development. Going forward, we expect a leaner, more efficient AI-led organization with a structurally lower cost base and improved scalability.

Now let me directly address the idea that AI can replace the solutions we deliver to the industry, including CargoWise. As AI becomes more powerful, the value of trusted, deeply embedded systems of record operating inside regulated and rule-based workflows increases. That is where WiseTech is positioned. Our moat extends far beyond our source code. It is our global many-to-many network we have built across the global trade and logistics ecosystem, deeply interconnected participants operating in live workflows through our vertical SaaS platforms. Today, our software supports approximately 80% of manufactured trade flows through our custom solutions, over 90 million ocean containers operates across 193 countries, connects more than 400 airlines and over 150 ocean carriers alongside supply chain participants globally. We have 735 partners and support over 42,000 CargoWise certified professionals worldwide, but scale alone is not our moat.

The data flowing through our ecosystem is permissioned, contractual and governed, embedded inside operational systems. Our software is not an overlay. It is the execution layer for government-regulated customs, compliance, transport and documentation across a magnitude of jurisdictions. Our embedded legal business rules, risk management tools that handle financial and trade complexity and the accumulated domain expertise cannot be replicated by prompting an AI model. As adoption accelerates, the value of our ecosystem, domain expertise, curated and trusted data and government regulatory alignment becomes even more important. That dynamic derisks the operating environment for our customers, reinforces our competitive position and cements our strong position.

For SaaS businesses that monetize based on seats or users, AI will disrupt them. WiseTech made the early and deliberate decision to transition away from seat fees to focus on monetizing transactions. With approximately 95% of CargoWise customers now on CargoWise Value Packs, our pricing is aligned to value delivered through automation, throughput and scale. This positions us well because our revenue is not diluted by customers becoming more productive, including through the AI capabilities we deliver. For our customers, AI is already delivering measurable outcomes inside CargoWise today. It's ingesting documents rapidly, performing complex customs classification with higher accuracy and speed, assessing trade compliance risk in real time and automating multistep workflows that previously required significant manual effort. Over time, these capabilities will materially reduce labor, improve service quality and strengthen compliance for customers.

Our AI workflow and AI management engines are focused on turning that potential into practical outcomes, faster processing, fewer errors, better compliance and lower operational cost. Businesses running on CargoWise will operate at productivity levels multiple times higher than those relying on fragmented legacy systems or in-house builds. We continue to invest deeply in innovation and development with more than $175 million invested in R&D in first half '26, accelerating the development and deployment of AI capabilities across our platforms.

To summarize, we expect our AI transformation journey to deliver a leaner, more efficient AI-led organization, supporting a structurally lower cost base and improved scalability, a stronger, more deeply embedded platform as AI-driven automation, labor efficiency and risk reduction becomes even more paramount to customers, the ability to leverage our transaction-based commercial model deliberately aligned to value rather than number of users and significantly higher productivity and efficiency in software development, turning investment into customer value faster. This marks one of the most important inflection points in our 30-plus year history. We are leading deliberately and executing with discipline, strengthening our moat, enhancing customer outcomes, reshaping our workforce and positioning WiseTech for sustained long-term growth.

I'll now cover our financial highlights. For the first half, revenue was in line with our expectations. We delivered total revenue of $672 million, up 76% on a reported basis on first half '25. Organically, total revenue grew by 7%. CargoWise revenue grew by 12% to $372.4 million, 9% organically with recurring revenue at 99%. EBITDA was up 31% on first half '25 to $252.1 million with a corresponding EBITDA margin of 38%. Our organic EBITDA margin rate was consistent at 51%. Underlying NPAT of $114.5 million was up 2% and free cash flow of $153.6 million was up 24% on first half '25. The Board determined an interim dividend of $0.068 per share, up 1% on first half '25, representing a payout ratio of 20% of underlying NPAT. The takeaway here is discipline. We're delivering growth, margins and integration as planned. As we indicated at our FY '25 results, we expect second half performance to accelerate as our FY '26 strategic initiatives move from launch into execution, subject to timing and take-up of our revenue initiatives.

Caroline will now provide you with a detailed overview of our first half '26 financial performance before I discuss our strategic highlights.

Thank you, Zubin, and good morning, everyone. It's great to be speaking with you today. I'll start with an overview of our financial performance, which now includes the acquisition of e2open. Following the completion of the acquisition on the 4th of August 2025, there are now 2 reportable operating segments, reflecting the way we review financial and operational information to make strategic decisions. You can find further detail on our segments in Note 12 of the financial statements and in the investor presentation today. Overall for the Group, revenue was in line with our expectations.

As Zubin mentioned, we grew total revenue by 76%, driven by 5 months of contribution from e2open and continued growth in the CargoWise business. E2open contributed $249.4 million to total revenue in this half. The integration is progressing well with product team alignment continuing and the sales and marketing teams integrated. Pleasingly, we achieved in January our cost synergy target of $50 million in annualized savings nearly 1.5 years earlier than planned. Total CargoWise revenue was up 12%. This included organic CargoWise revenue growth of 9%, $6.6 million from M&A in 1H '26 and a $3.7 million FX tailwind with incremental revenue from the CargoWise Value Packs launched on 1 December. Gross profit was up 61% on 1H '25 and 11% excluding e2open. Gross profit margin was 79%, down 7 percentage points, largely driven by e2open.

E2open has a higher proportion of professional services revenue with higher headcount and cost of revenues. This structurally higher cost base means e2open's gross margin is lower and has a dilutive impact on our group margin when consolidated. Excluding e2open, gross profit margins were consistent with 1H '25 at 87%. Over time, as we focus on our long-term strategy of high-margin recurring revenue and have the professional services work delivered by trusted partners as well as capture continued synergies and efficiencies from AI for customer support across the group, this should lift overall gross profit margins. Reported EBITDA was up 31% to $252.1 million with the corresponding EBITDA margin of 38%, down 13 percentage points on the previous period. This reflects the e2open consolidation, restructuring and M&A costs in line with our expectations.

Excluding these items and FX, organic EBITDA was up 7% and EBITDA margin was 51%, in line with 1H '25. Whilst revenue growth reflects the timing of the CargoWise Value Packs launch, which occurred late in the half as planned, margins were supported by strong cost execution with the first phase of the restructuring program announced in the FY '25 results now complete with both the FY '27 target of approximately $18 million in annual run rate EBITDA savings and the FY '26 target of approximately $9 million net cost out achieved in 1H '26 ahead of plan. E2open delivered EBITDA margins of 22%. However, this includes $30.6 million of restructuring and break costs. Excluding these items results in EBITDA margin of 34%, a 6 percentage point margin expansion versus FY '25 pro forma provided in the FY '25 results, a significant improvement in margins in the first 5 months post completion from the acceleration of cost synergy initiatives.

Completing the program ahead of plan brings forward both the cost savings and execution costs, resulting in a broadly neutral EBITDA impact for the first year as initially outlined. Across the group, the achievement of cost and net savings targets ahead of plan demonstrates continued cost discipline and program execution. EBIT was in line with the prior period with earnings increase offset by a $59.9 million increase in depreciation and amortization, predominantly from e2open acquired amortization as expected with $41 million. Our net financing costs increased to $68.3 million during the half, reflecting increased interest expense from the debt facility to fund the e2open acquisition.

Importantly, we've taken a disciplined approach to manage the exposure with interest rate swaps to manage volatility and provide greater certainty over future interest expense. Underlying net profit after tax of $114.5 million was up 2% on 1H '25. You can see the reconciliation to statutory NPAT in the appendix. Underlying EPS was up 2% to $0.343 per share.

On this slide, you can see the split between recurring and nonrecurring revenues and between the CargoWise, non-CargoWise and e2open revenues. Recurring revenue grew by 70% or $260.2 million, reflecting $231.6 million from FY '25 M&A and e2open but excludes $4.6 million in FX tailwinds. The growth in revenue was driven by large global freight forwarder rollouts, including increased usage by new and existing customers, price increases to offset impacts of inflation and to generate returns on product investment and our new commercial model, which was launched in December 2025. CargoWise revenue was up $30.4 million or 9% organically. $20.3 million of this was from existing CargoWise customers and $10.1 million from new customers. This excludes both $6.6 million from FY '25 M&A and a $3.7 million FX tailwind.

Non-CargoWise revenue included $3.5 million from FY '25 M&A and organically continued to decline as expected related to earlier acquisitions. Here, you can see overall operating expenses for 1H '26, now including e2open. As expected, the inclusion of e2open changes the shape of our cost base and our focus moving forward is managing this throughout the integration and driving efficiencies over time, accelerated and enhanced by the restructuring plans announced today, particularly in product design and development. As a percentage of revenue, expenses, excluding e2open, restructuring and e2open M&A costs were flat versus 1H '25. Product design and development expenses increased by $27.8 million on 1H '25, driven by e2open. These expenses represented 13% of revenue in 1H '26, down 3 percentage points.

This reflects the impact of e2open's approach to R&D, which has a lower proportion of product design and development headcount and a lower R&D capitalization rate compared to the remaining WiseTech business. Excluding e2open, product design and development expenses were 15% of revenue, reflecting our continued investment in CargoWise innovation and development, partially offset by savings delivered through the phased restructuring program announced in our FY '25 results. Sales and marketing expenses increased by $25.5 million on 1H '25 or 1 percentage point of total revenue, reflecting the consolidation of e2open and their sales-led go-to-market approach. Our strategy is to progressively adopt WiseTech's proven product and content-led model across the combined group.

Over time, this should reduce sales and marketing expenses while enhancing go-to-market effectiveness to drive deeper customer penetration. Importantly, the first step is now complete with an integrated sales and marketing model under single leadership across the group. General and administration expenses as a percentage of total revenue was 21%, up 7 percentage points versus 1H '25, reflecting 4 percentage points from restructuring costs and e2open M&A costs and 1 percentage point from the consolidation of e2open. Excluding these costs, general and administration expenses was up 2 percentage points as a percentage of revenue on 1H '25, which reflects operational investments to support future growth, M&A as well as ongoing legal and advisory, including the shareholder class action defense and other legal and Board advisory matters.

Turning to the next slide. You can see our continued R&D investment in product innovation, a key differentiator and value driver for the group. Our overall investment increased by $38.3 million or 28% on 1H '25, reflecting the e2open acquisition and continued investment in CargoWise platform development. In the half, we reinvested 26% of revenue into R&D, down 10 percentage points on 1H '25 and 48% of R&D investment was capitalized, down 6 points on 1H '25. This reflects the impact of e2open's business model, which places more emphasis on sales, resulting in lower product investment and capitalization rates compared to the remaining WiseTech business. This is expected to evolve as e2open transitions towards a more product-led model and as the wider group progresses with the restructuring and future benefits of AI. Excluding e2open, 33% of revenue was invested in R&D.

Capitalized development was up 54%, in line with 1H '25. There has been a reduction in the balance of development costs during the period. The WIP balance decreased by 18% from $70.3 million at December 2024 to $57.9 million at December 2025. Over the past few years, WIP continued to build as we invested in large multiyear development projects. In 1H '26, a number of those products were commercialized and as a result, costs moved out of WIP. This outcome reflects the normal progression of R&D investment with prior period spend converting from WIP into commercial products, while ongoing development investment continues. In 1H '26, we delivered 1,060 new product enhancements on the CargoWise application suite, bringing total enhancements delivered to more than 6,300 over the last 5 years from a total investment of more than $1 billion. Particularly with the restructuring announcement today, we will continue to monitor future benefits of AI to capitalize development and headcount.

Moving to the balance sheet. You'll see the significant liquidity available, providing a strong platform for future growth. And as at 31 December 2025, we had a strong cash position of $358.4 million. Following the acquisition of e2open, there have been significant changes to our balance sheet. Receivables increased to $205.4 million, reflecting the contribution from e2open and revenue growth. Intangible assets grew by $2.3 billion, mostly from e2open and investment in capitalized development, partially offset by amortization. As detailed when we announced the e2open acquisition, we replaced our previous unsecured debt facility with a new unsecured $3 billion syndicated facility with $2.4 billion drawn to complete the acquisition, refinance existing debt and provide additional working capital.

The $3 billion debt facility was underwritten by 9 leading domestic and international banks with subsequent market syndications successfully completed in August 2025 to a strong group of more than 15 additional syndicate banks. Net leverage at 31 December 2025 was 3.2x, and we expect to deleverage to approximately 3x by the end of FY '26 and approximately 2.5x by the end of FY '27, progressing toward our long-term target of less than 2x by August 2028. The $85.2 million increase in share capital is mainly due to new shares issued to the employee share trust to fund our employee equity program. Importantly, our employee equity program is a key component of our remuneration framework to support staff retention, attract high-quality talent and encourage long-term value creation across our workforce.

As at 31 December 2025, we had over 90% of our employees holding shares or share rights, excluding e2open or 48% of all employees. As with our previous integrations where employee benefits alignment is an important step, e2open will over time be aligned with our employee equity program, which we expect to increase participation across the group.

Lastly, turning to our 1H '26 cash flow performance. Operating cash flows increased by 14% to $231.7 million, demonstrating our highly cash-generative operating model. Our operating cash flow conversion rate of 92% is down 13 percentage points on 1H '25 as a result of e2open and e2open M&A costs. The e2open acquisition also resulted in a significant increase in working capital outflows related to M&A costs and trade receivables. Free cash flow was up 24% to $153.6 million and free cash flow conversion was down 4 percentage points on 1H '25 to 61%. We continue to reinvest more of our cash into long-term growth with $78.1 million primarily invested in product development and continuing to build out our data center capacity.

Taking the sum of our total revenue growth and free cash flow margins, we delivered a Rule of 40 of 99% in 1H '26, up 49 percentage points driven by the first-time consolidation of e2open. As we continue to execute on our revenue initiatives, including the CargoWise Value Packs and CTO, alongside e2open synergies in line with our integration horizons and as the benefits of the restructuring actions announced today flow through, we expect cash generation to improve. So to sum up, we delivered a first half performance with revenue and EBITDA in line with our expectations, reflecting, in particular, the launch of the CargoWise Value Packs on 1 December as well as the e2open cost synergies and first phase of the restructuring program with targets achieved ahead of plan. We also exited the half with a strong liquidity position, providing flexibility to support our longer-term growth objectives and the ongoing needs of the business.

I'll now hand back to Zubin.

Thanks, Caroline. This slide captures our vision and more importantly, it reflects the business we're building. For decades, WiseTech has been the proven operating system for logistics execution, freight forwarding, customs and compliance, warehousing and cross-border movement. That remains our foundation, and it's a position earned through 30 years of sustained investment, innovation, growth and deep industry involvement. What has evolved is the scope of the problems the logistics and trade industries need solved. Logistics does not operate in isolation. Decisions are made well before goods move and consequences extend long after delivery.

With the expansion of our ecosystem and particularly through e2open, we're now connecting execution, trade and planning into a single integrated environment across a far greater portion of the global trade life cycle. This shift is already visible in 3 ways. First, the types of customers we serve have broadened. Alongside logistics service providers, we now work with large manufacturers, importers, exporters, retailers, brand owners, carriers and increasingly, government agencies, organizations operating complex global multi-tier supply chains. Many of the world's most well-known brands are powered by WiseTech.

Second, the problems we're solving have expanded. In addition to execution, we're addressing supply and demand planning, trade management and coordination across large networks. These are decisions that sit upstream and downstream of traditional logistics, but they directly affect cost, risk and service performance. And third, the opportunity has expanded because complexity has expanded. Global trade and logistics represent over $35 trillion of economic activity. This is still a highly fragmented, largely manual industry, and the inefficiencies are real and measurable, yet complexity is increasing daily. CargoWise and our wider product suite solve that complexity. This is not discretionary software we're talking about.

Our platforms sit directly in the flow of goods, money and compliance. When systems fail, the impact is immediate and tangible, delays, penalties, inventory accumulation, working capital strain and a real impact on consumers and the economy. What we're building is different. It is a connected multisided marketplace that links these participants together through shared data, shared workflows and shared intelligence, not a collection of point system or tools, but a system designed to work end-to-end across global trade and logistics. We're able to do this because we already have the scale to invest for the long term, deep domain knowledge, data built over decades and a proven ability to integrate complex businesses and turn them into scalable platforms.

This is the strategy. This is the execution, and this is why we see a very large and long-term opportunity ahead of us. This slide shows you how our 3P strategy, Product; Penetration; and Profitability, is translating into delivery and the progress we have made against our product and innovation priorities in the first half. I've said that the move to CargoWise Value Packs was a deliberate and necessary decision for WiseTech. The objective was clear: align pricing with value delivered through throughput, automation and outcomes so that WiseTech and our customers benefit as efficiency increases. That decision was and is critical to sustain long-term recurring revenue growth in an AI-driven world. While change of this nature is always disruptive, what we see across the technology industry is reinforcing why this change was necessary.

Moving early has given us room to stabilize, refine and put the right foundations in place for long-term growth. We have led necessary industry-defining shifts before, and we are leading again. Monetizing seats when much of the value we deliver comes from driving efficiency created a misalignment in incentives. Encouragingly, we're seeing growing engagement with new AI capabilities across document ingestion, our AI agent, compliance-wise and classification assistant with usage up to 4x higher since launch. Pleasingly, since the start of this calendar year, we've had 2 new large global freight forwarder rollouts sign up on our CargoWise Value Packs, Blue Water Shipping and XPD Global. Looking ahead, as larger customer commitment contracts transition and usage deepens, we expect momentum to build progressively and further growth benefits for CargoWise.

Turning to container transport optimization. CTO represents a significant long-term opportunity for WiseTech because container transport is a problem defined by scale, complexity and a deep understanding of network effects, not by simple automation or applying AI in isolation. The product is in the process of implementation with our launch partner, ACFS Port Logistics, one of Australia's largest landside logistics providers. Our focus has been on building a solution that works reliably at scale with a focus on long-term outcomes. We expect capability and value to build progressively with Australian product and model maturation in FY '27 and beyond. With e2open in the first half, we focused on organizational integration, efficiency gains and aligning operating models to support implementation of the WiseTech Way.

Internally, for our teams, this means shifting from a sales-led business to a product-led business, embedding our software development practices, focusing on product standardization rather than customizations and integrating our sales and marketing teams and models while driving a high-performance culture. As I mentioned, in January, we successfully achieved our e2open cost synergy target of $50 million annualized run rate savings, nearly 1.5 years earlier than planned. We're also expanding the value INTTRA brings across our customer base and the broader industry. INTTRA operates the largest multi-carrier network connecting shippers and ocean liners, enabling ocean scheduling, booking, visibility, compliance and bills of lading at a global scale.

As we integrate INTTRA more deeply into the CargoWise and global trade ecosystem, we see meaningful opportunity to expand the value of that network. When combined with our electronic bill of lading technology through an earlier acquisition, Bolero, we are positioned to deliver greater automation and connectivity across ocean freight, documentation and trade finance workflows. The efficiency gains across these interconnected processes are significant. In summary, we're executing well against our key priorities, progressing complex initiatives at pace and positioning the business for increasing momentum in the second half, particularly across CargoWise Value Packs and AI.

Now on to penetration. Momentum continues with 4 new large global freight forwarder rollouts of CargoWise signed in FY '26 to date, with Sankyu and CJ Logistics further extending our reach into the Asian market as well as Blue Water Shipping and XPD Global, both of which have signed up since the start of 2026 on our new commercial model, the CargoWise Value Packs. We've also added an additional organic global rollout of Neptune Pacific, meaning we now have 59 large global freight forwarders with 46 in production and 13 in contracted rollouts. 11 of these 59 are in the top 25 global freight forwarders. On our global trade and supply chain penetration led by e2open, there continues to be strong penetration across some of the largest brands in the world with an extensive customer base, including Dell Technologies, NVIDIA, Ford Motor Company, L'Oreal and Schneider Electric.

Both Caroline and I have already covered the points on this profitability slide, so I won't go into the detail. What it does highlight is our track record of strong financial discipline and operating leverage. And now to our guidance. Our guidance is based on the assumptions we've set out here and in the appendix of our investor presentation. We are reaffirming our guidance for FY '26, excluding the impacts of restructuring plans announced today. While the impact of this phased restructure program is not expected to be material to FY '26 outcomes with execution costs offsetting any savings in FY '26. The financial effects of the program will reflect a combination of cost savings, restructuring costs and capitalized development.

Going forward, we expect a leaner, more efficient AI-led organization with a structurally lower cost base and improved scalability. In addition, based on CargoWise first half '26 revenue, we now expect the CargoWise revenue in first half, second half SKU for FY '26 to be in line with FY '25. E2open revenue is included from the 4th of August 2025. And as previously stated, we expect a reduction in services revenue, reflecting our long-term strategic focus on recurring revenue and minor customer attrition in subscription revenue for the same reason. That brings us back to the 4 key points for today.

First, our first half '26 results are in line with our expectations, and we continue to expect stronger growth in the second half, subject to timing and take-up of revenue initiatives.

Second, we are undergoing a deep AI transformation. We continue to embed AI across our software for our customers and our own operations. This will accelerate productivity, automation and decision-making across the industry's complex regulated workflows and across our own operations as seen by the substantial phased efficiency program we are continuing today. AI is arguably the most powerful accelerant we have seen for our competitive moat and for future innovation, and we are well prepared to lead it.

Third, we continue to execute relentlessly on product and innovation. CargoWise Next and CargoWise Value Packs are now largely rolled out, establishing a commercial model aligned with automation, AI and the future operating realities of the industries we serve.

Container transport optimization is in the process of implementation, building a foundation for long-term growth. And fourth, the integration of e2open is progressing well. Products, teams and operating models are aligning. Cost synergies have been achieved nearly 1.5 years ahead of plan, and the business is shifting toward a product-led scalable operation. The most important message today is that we continue on our deliberate path to being an AI-led organization. This is about delivering durable and responsible customer and shareholder outcomes. As AI reshapes how software is built and operated, scale, domain expertise, rich embedded data, sustained investment and long-term thinking matter more than ever.

That dynamic reinforces the strength of WiseTech's platforms and the value we deliver to customers who choose to focus on their core business rather than replicating complex technology internally. The gap between customers who run on our platforms and those who don't will widen significantly in productivity, cost efficiency and competitive advantage. WiseTech operates at the center of global trade and logistics, industries that are large, complex and underdigitized, where trusted integrated systems of record are essential for efficiency, resilience and compliance. We have the scale, technology, data, network and execution discipline to continue investing deeply and converting that investment into long-term value.

For customers, that means higher productivity, better risk management and greater automation. For shareholders, it means a business with strong recurring revenues, significantly improving efficiency and a strategy designed to deliver sustainable growth for many decades to come in a market that continues to expand. That is the future we are building. AI at our core, high performance, a deeper and wider moat, increased customer value, and we will execute with absolute focus, uncompromising discipline and relentless pace.

Now over to Richard for his perspective.

Thanks, Zubin, and good morning, everyone. From the founding of WiseTech to this very day, my focus has always been on product and commercial model innovation. My driving ambition has been to revolutionize logistics. And now with e2open, we have expanded that ambition to also revolutionize global trade. Global trade and logistics was and still is full of fragmentation, disconnected point systems, manual workloads and duplicated or disconnected data entry across many point systems with high manual error rates. As with many habitual problems, the industry thinks that's just the way it is. But we continue to challenge the status quo. We act with purpose to redesign the systems itself and the way the world does logistics.

Our innovations often surprise and even shock customers. However, we ultimately delight customers once they understand the value we create. So that is what I'm going to talk to. My continued focus on accelerating product innovation, the AI journey we are on and our drive to the future, the commercial model and its AI-driven inception and how we leverage the enormous moat that we have built and how we drive AI into every facet of our product, our business and our customers' business.

These days, my role and focus as Chief Innovation Officer, supported by our CEO, Zubin, and a highly motivated senior leadership team allows me to spend the majority of my time on product design, product expansion and the commercial models of our products. This has always been my strength, and I now have far greater capacity and capability to drive and accelerate these outcomes. The WiseTech Gen AI journey slide represents a major and continued focus of mine and extends from late 2022 when Gen AI finally broke through, led by GPT 3.5. The slide speaks for itself, and you can see how much innovation we have put in over this time line, perhaps too quietly, not wishing to brag about AI as many have done.

We did the work, and we have the results clearly in focus. In understanding the coming revolution with AI, we also looked at the commercial model. And in November 2024, we started to plan to rebuild the commercial model to solve a number of problems, the most important of which was the fact that agentic AI would put SaaS seat-based licenses at substantial risk and negatively impact revenue. The planning for a deep commercial model change is complex, and we worked on this throughout 2025 and implemented it starting in early December 2025. There is more work to do with larger customers that are on commitment agreements, but this is already underway, and there is a major upside for those customers and for WiseTech. So we remain focused on that CargoWise Next agentic AI-led transition.

The new commercial model and the CargoWise Value Packs are designed to leverage our sustainable competitive advantage and to assist our core customers to leverage CargoWise Next through driving cost, complexity and risk out of their businesses. We are already seeing a stronger value proposition, a simplified sales process and easier wins from new customers because of the new commercial model and the CargoWise Value Packs. Over time, we believe this will expand into something incredibly powerful and should drive higher rates of adoption and sales success. We are very confident about how deep and wide our moat is. However, many use the word moat far too often and without proper understanding of its real meaning.

If you look at the sustainable competitive advantage slide, you will find a more in-depth understanding of how CargoWise Next and the agentic AI workflow engine and AI management engine will drive that advantage even further. None of this is slowing us down. Although in any major transition, there is a period of time to implement that change and then accelerate into the advantages that change brings. Finally, we have a little surprise. We're adding a new agentic AI credo to our vision, mission and existing credo. For those well versed in AI, you will know that you converse in a very direct and conversational way. The extraordinary thing about AI is it exhibits many qualities we normally understand as human that make it appear and act as an independent agent.

With that in mind and using a number of conversations with several Gen AI agents, we have created our own agentic AI credo to give our AI agents a voice and to lay to understand what their mission is and how they will create value for WiseTech and our customers. On this slide, you will see our vision, mission and credo and now the credo of our agentic AI agents. The future is bright, and we are strengthened by the new powers we have acquired with agentic AI and other AI tools across the business in our product and for our customers. I will now pass back to Zubin.

[Operator Instructions] The first question comes from Eric Choi from Barrenjoey.

Sorry, could I ask a boring guidance question, probably for Caroline. Just wondering if there's an element of conservatism in your CargoWise guidance. If we just take your SKU comments at face value, it implies revenues only grow $35 million sequentially and actually less excluding FX. So that's sort of just 8% half-on-half revenue growth, which is hard to reconcile given you've moved the majority of your customers across by revenue to CVP and most of the industry feedback is -- ARPUs are lifting double digit on the CVP. So is that just conservatism, Caroline? Or what are we seeing?

Eric, thanks for your question. So no, there's not any conservatism. I think there's a couple of things here. So the first one is what we were indicating is that the 1H 2H SKU is more aligned to FY '25, not necessarily saying that it's exactly the same. And one of the main reasons for this is that, as you might know, 1H was actually slightly ahead of expectations. And so it makes sense that the 1H 2H SKU is a bit more balanced. The key thing here, though, is that we are still reaffirming the FY '26 guidance and the CargoWise revenue growth of 14% to 21%.

The extent of the second half SKU is, as we've said before, it's really dependent on the timing and take-up of our initiatives, particularly, as you noted, the opportunity to convert our larger customers currently on commitment or [indiscernible] agreements to the new commercial model.

Awesome. Can I ask a quick follow-up, Caroline? Super quick. Just on -- you previously said you'll get back to 50% margins. And I'm just wondering if that's still the case with the 2,000 headcount reduction initially and then whatever else you announced across the rest of the business. Because I guess if those margin targets don't change, do you think we should -- I guess, we just get there a different way, maybe slower top line assumptions versus what we thought previously, but better cost out?

Look, so the answer is absolutely. Our plan is to get back to margins above 50%. And in fact, even before the restructuring program that was announced today, that was always our goal. And if you look at our history, we've had at least 2 times where due to the consolidation impact of acquisitions, the EBITDA margin has had a dilutive impact, but we've been successful in bringing those back up to 50% each time. And so this is no different. In terms of the path back to 50%, I would say that the restructuring program is just an additional aspect as to how we will get there, but it's not the necessary component for us to achieve it.

I'll just add one more thing, it's Richard. The -- during the transition to the CVP, to the new commercial model, it's quite hard to do any substantial sales or signed contracts. Since that has happened, we've had a number of signings quite rapidly, and we have strong reason to believe that sales are far easier now under the new model, particularly for new customers. And I think that's going to drive long-term revenues in a very effective way. Sales has got a big impact on the long-term capability that we're delivering with CVP.

The next question comes from Bob Chen with JPMorgan.

Just a question for me around engagement with your larger commitment customers. I mean we've got one of your really big customers out there publicly talking about transitioning away from CargoWise onto their own software. Like how do you sort of deal with that sort of scenario? Do you sort of try and engage with them to limit that sort of churn? And then also, I guess, given you're sort of taking a big cost out step in your product development, part of the business as well, does that sort of imply the barriers to developing the CargoWise One software is lower now and you're more reliant on the network effects across the business?

Thanks, Bob. Look, let me go through the first part of your question first. So I'm not going to comment on any individual customers, but let's just talk about all of our customers here. We spend a lot of time with our customers, and we have strong relationships with them. The really important point to call out here is the CargoWise Value Packs and why it is such an essential ingredient here. You referenced CargoWise One, but what we're talking about here really is CargoWise Next and the CargoWise Value Packs, which are now rolled out to 95% of our customers.

And remember that the 5% of customers that are not yet on that represent these very large customers that are on long-term commitment agreements. And they do not get access to the benefits that we are releasing through the Value Packs. Most importantly, those would be the AI automation and efficiency benefits. If you think about what I said during the presentation, customers that are on CargoWise Next and are using the Value Pack, particularly the 4 agentic AI capabilities and our future AI workflow engine capabilities, they will be far more productive and far more efficient than those that use other systems or spend their time building in-house systems.

We've spent 30 years building this product. We've invested close to USD 1 billion over the last 5 years in R&D. And what we are building is something we are very proud of, and we are convinced it totally reshapes labor in the industry. So that's to the first part. Now to the second part of your question as to what this does to productivity and CargoWise Next build, it's important to say that this is a program that we are not just doing today. This is a journey we have been on now for quite some time. Since last year, we've invested heavily into AI tooling, AI training, showcasing for our team. And most importantly, we have a number of examples, deep examples within the team where we're seeing productivity accelerate.

We're seeing language translation of the product done in much faster times. We're seeing the build of our global custom system now accelerate because of large language model coding. We're able to modernize and maintain our code bases and patch our code bases much faster. We're even seeing examples where we can solve defects and system defects system bugs nearly autonomously in some cases, using a swarm of agents. We're building tests. We're doing code reviews. We're identifying edge cases.

We're obviously resolving customer service incidents now using our ACE AI agent that's been part of our product since the CVP launch. And then over the last few months, when we've seen how rapidly tools like Claude OPUS 4.5 and even OpenAI's GPT 5.3 codecs have developed, we are now ready to take that next step. In terms of what this does to CargoWise, in the short term, this probably doesn't have much impact on output, but it means we can get that same level of output with far less input. In the long term, however, this is a real breakthrough for us. This means that we can achieve far greater levels of output for far greater levels of input across product development, customer service and potentially other parts of the business as well.

The next question comes from Lucy Huang with UBS.

My question is just on the 30% of revenues that are yet to move on to CVP and presumably the larger customers. Like how early are we expecting to see some of these contracts coming up for expiry and therefore, potential for some of those revenues to move on to the CVP?

And then just a follow-on, sorry, on the kind of cost question, big cost reductions coming through on headcount. Are you expecting a bit of offset through kind of AI token costs increasing as a result of increased usage. So just trying to think through how the cost base will look like in the next year or 2 post the headcount reduction.

Thanks, Lucy. I'll answer some of that, and Caroline might chime in with some thoughts as well. So to the first part of your question, obviously, it's still quite early days. We launched the CargoWise Value Pack on the 1st of December. We migrated 95% of customers across to that Value Pack model quite quickly. And now we are spending time talking to those 5% of customers that you correctly call out, representing 30% of CargoWise revenue. Now we've had conversations with many of that cohort. Those conversations have been very positive.

And as I was suggesting earlier, these AI features, particularly the impact they have on labor savings within these businesses, they're really going to be most profound in these very large customers because these large customers have generally offshore BPO business process outsourcing centers or shared service centers where they have a lot of labor that is doing quite repetitive parts of forwarding and customs and other logistics workflows. That is exactly what our AI workflow engine accelerates. It allows for that labor to be taken out over time and to be replaced using agentic AI capabilities.

So that 5% of customers are very motivated to move across given that they only get access to these features through the Value Packs. The conversations have been positive. Keep in mind, these customers being larger, it takes time for them to make decisions like this and to transition across. But we remain confident and hopeful that we will migrate some of them across this financial year.

One thing I might add as well in addition to what Zubin said is you mentioned the expiry of the contracts. And so whilst that's a natural point in time for them to move across to the CargoWise Value Packs, we're not waiting for the contracts to expire. Many of the conversations that we're having with customers today are actually us taking a proactive approach, reaching out to customers whose expiries are -- could be many years into the future and actually looking at getting them to come and convert to CVP even earlier than expiration for all the reasons that Zubin said.

I might just add a bit more flesh to that particular set of understandings. If you look at the -- if you take out the direct freight costs of a freight forwarder, you're left with the expenses in your P&L, about 70% of that expense is labor. A tiny, tiny part of that expense is software cost. If you focus on the cost of software, we're an expensive product. If you focus on the labor saving that we can create, and we're saying very strongly that within 2 years, we'll have half of the total labor, operational labor and line management labor out of our customers' businesses, obviously, it's their choice to do that, but it's entirely possible from our perspective.

You're taking out 35% of their expense rate, half of the 70%. That's orders of magnitude larger than our software cost. And any company that wants to spend time building software or take a piece of software that's already in the industry and use it, will never have the capability, the moat, the integrations to airlines, shipping lines to ports, to customs authorities, penetration to 193 countries in all the territories that we go to. Those things can't be replaced and can't be built easily. That took us more than 2 decades, more than 2 decades. And we are absolutely confident that over the next 2 years, we will have an enormous impact on the labor savings in this industry.

Something that's worth pointing out there also is there are many companies out there and many products out there that report that they can add AI capabilities that lead to labor savings on top of existing systems like CargoWise. Now I don't have that view at all. I do not think that is practical at all. What we are talking about here with our AI workflow engine and AI management engine, which includes the 4 AI capabilities we've already released is integrating AI and large language models and automation into what we call our workflow engine. That has been a part of the product now for many, many years, more than 10 or 15 years now and is at a fundamental layer of CargoWise Next.

It is how all operational workflows and all operational behaviors in the system operate. By us putting AI at that layer and by us leveraging the rich data sets that we have curated over time from customers, that is what gives our AI such strength and such might compared to just sticking AI on top of a product. That is not at all what we are doing. Now for the second part of your question on AI token cost, I'll ask Caroline to comment on that.

Yes. So yes, Lucy, you're exactly right. There is definitely a factor here about investment in that we will likely need to make. For FY '26, we're not expecting this to be material. There is a level of technology investment that we've already got factored into our FY '26 guidance.

The next question comes from Nick Basile with CLSA.

Just had a question on, I guess, Richard's comments about the ability to take out up to 50% of labor costs for your customers over time through AI. Where are your conversations at with the largest customers? Have they kind of subscribed to that vision yet? Or where do you think or when will we see a tipping point in that? And to what extent is it connected to the Value Pack rollout?

Nick, good to hear from you. So as I was suggesting, we've had very positive conversations with a large part of that cohort. They are all deeply interested in the AI capabilities that we're building, particularly compliance-wise, AI classification assistant, document ingestion and of course, also the Ace AI agent. But more so, they are interested in what we have talked about in the AI workflow engine. They want to understand how we can help reduce labor substantially, as Richard said, by potentially 50% over the next few years by replicating parts of that workflow.

So the conversations are going exceptionally well. But as I suggested, they do take time given these companies are large, they have governance, they have boards that they need to get decisions put through. But the conversations are going well. Richard, do you want to add anything?

Yes. It's important to recognize how long we have been planning to do this and how it's integrated into the core architecture of CargoWise Next. The data layer that we represent is enormous, and it's directly integrated in the AI engine. That can't be done from an outside agent. An agent that works on the outside is not much better than RPA, which is a very trivial way of automating software. We are talking about the ability to work and operate inside the system at all levels of data, being able to communicate to the port authorities, to the carriers, to the airlines, to the customs authorities and to the users and to the customers through an AI agent.

And we've got a fairly strong model for that, a very strong model for that. In fact, we've really been working that for that particular architecture for more than a year and on the automation of this for preparing for the AI journey, we've kind of predicted in about 2023 that this was going to happen. We just didn't have all of the pieces of the AI, the external LLMs that we use were getting more and more mature. And there's been a number of big breakthroughs in the last 9 months with agentic AI and more particularly with Claude code on writing code. So we've got a number of drivers here that enable us to get to that capability. We are going to embed and infuse the entire product with agentic AI capabilities and personas that know how to do the work specifically to each of the job types and work processes.

Nick, also, just as Caroline mentioned in an earlier answer, we are reaffirming our guidance, and that means that these large customers don't need to come across for us to achieve what we are saying we will achieve. Of course, we are very confident and hopeful that some do, and that's why we're having those conversations. But there are a number of revenue drivers here. We are -- we've got 95% of our customers now, which represents 75% of CargoWise revenue on the Value Packs. As these businesses use and adopt more and more of the features in the Value Packs, and we've already seen an uptake of 2x to 4x increase in those agentic AI features, they will be able to be much more efficient and handle more business.

As they handle more business, that's more volume, more transactions through CargoWise, which is obviously more revenue for us. Then the other lever is that as we grow capabilities in the Value Pack, and this is obviously a medium- and a long-term thing. But as we add more capability, again, particularly through the AI features, we'll be able to capture more of that revenue. And then as Richard said, we've already had -- we've seen an easier sign-up of customers. There's a number of customers of all sizes that have signed up since 1st of December.

Obviously, there are 2 large global freight forwarders, XPD, Global and Blue Water. So those are all very positive signs that go to our growth drivers. And then, of course, if these long-term STL customers do move across sooner, that affects and accelerates that second half, first half SKU.

The next question comes from Siraj Ahmed with Citigroup.

So I have -- it's going to be a 3-part question on the same thing. Just first thing, just Caroline, just can you clarify that CargoWise revenue growth guidance of 14% to 21%, right? I mean we are 2 months into the second half. You've got 4 months to go. I mean even if one of the largest -- I mean, let's say, 10% or 20% converts 20% uplift in price, you still can't sort of -- you can't move the dial here. So just confirming that you're tracking towards the low end of that 14%, 21%, especially given the SKU that you mentioned.

And on that, maybe one for Zubin. I mean, is that growth rate being compressed because of transitional pricing protection that you put in? And I'm also hearing incentives for disbursement billing. And third thing on that, how should we think about FY '27? Because the early discussions was this a 20% to 30% grower second half run rate implies it's like high teens, right? So just keen to understand what's changed here in this whole dynamic.

Yes. Sure. No problem. So I'll take the first one and then when we talk about the transitional pricing protection, I'll move to Zubin. So look, in terms of the CargoWise revenue growth rate range, as I mentioned earlier, we are reaffirming FY '26 guidance, which includes the confirmation of that 14% to 21% range. The comment I was making earlier around the SKU, which is what I think you're trying to get to, is to say that the second half SKU is more aligned with where we were in FY '25, but it may not be exactly that, right?

And so with the potential for customers to come across to the new commercial model and because we are already in the process of discussing this with customers, as I mentioned to Lucy earlier, we're not just starting the conversation with customers now. And in fact, a few of the customers, we've been in conversations with for months now around moving them across because as we know, larger customers tend to take a bit more time and they need some more information. And so the weighting of the second half SKU, which don't forget, as you pointed out, these are the largest customers.

And so the incremental revenue that we stand to benefit from when they move across is generally higher if we get a handful, which we're obviously hopeful to do. So that's really what's going to drive that second half SKU. But as I mentioned, we are still reaffirming the CargoWise revenue growth range of 14% to 21%.

Siraj, to the second part of your question, so let's just think back to FY '25 and what we said at full year results. We held back a number of features for 12 or 18 months to include them in that CargoWise value pack. And that led to lower growth rates in FY '25. We're seeing the carryover from that, but we are very confident in getting back to that 14% to 21% growth rate, especially given that as we add value to the value pack, and again, I'll point out how important those labor savings and efficiencies are compared to the price of our software.

As we introduce more and more labor savings and AI-driven efficiency in the medium term, that allows us to capture much more value from the value we deliver to customers. The incentives that you talk about and the TPP don't really come into that. The TPP was a promise we made customers that they would pay the same as what they were paying on the old agreement for a period of time. That doesn't really come into this at all.

Yes, I'll just take the last question you had as well around the FY '27 and growth rates. Obviously, look, we can't guide to what FY '27 is going to be. But what we're talking about in terms of the drivers of revenue growth, they're still the things that we talk about, right? So it's going to be new and existing customer growth. And with the points that Zubin made earlier around the new commercial model and the features that are available, customers should be more efficient, more productive and therefore, their ability to increase their own market share increases, which means they should then transact more on our system and generate more revenue.

So that will be a driver. There will be the point that Richard made earlier around our ability to more easily win new customers with the new commercial model. And then lastly, it will be what we've just been talking about, which is the potential to convert those longer-term commitment [indiscernible] customers on to TPP?

Can I clarify, sorry. So Zubin, your comment on TPP, can you just confirm if it's a net benefit or either positive or negative to revenue growth in the second half? And if it's -- so understand it impacts it. And then Caroline, in your 14% to 21%, how is DB Schenker coming in? Because I thought that volumes are supposed to pick up based on what DSV is saying. So can you just clarify that as well, what you've assumed?

So Siraj, on the TPP, we're not going to go into specifics about how it impacts each customer. But what I can say is that for some customers, it is a benefit for them in the sense that it reduces their CVP back to what they were paying on STL. In some cases, it pushes up what they're paying on CVP to what they were paying on STL.

The main message to customers, and this has been something we've communicated quite deeply with them over the last few months directly, but also through the 4 industry association engagements that we did in December and January is that these customers now all have access to 216 features, about half of them being brand-new features, and they are paying what they used to pay under STL as if they had not transitioned. But I won't comment on how it impacts individual customers.

Yes. And then just on the DB Schenker one. So in the FY '26 guidance, it does factor in the known transition of DB Schenker on to DSV. And with the numbers that we're seeing, which we obviously can't go into detail, it's in line with our expectations, which suggests that the integration is progressing well, which is aligned with the comments they've made publicly as well.

The next question comes from Roger Samuel with Jefferies.

Can I just ask you about the new product, in particular, CTO. It looks like the contribution was quite muted in the first half and maybe in FY '26 as well. So can we expect some acceleration in CTO revenue in FY '27?

Thanks for the question. So look, we had always suggested or at least in the last round of conversations, we had always suggested that CTO was a much smaller part of our FY '26 revenue growth. Our focus has really been deeply on CargoWise Value Packs and the AI capabilities. The good news with CTO is that we are in the process of implementation right now with our launch partner. Now I've suggested this before. This could be bigger than CargoWise, but therefore, it takes time.

It is disruptive, and we are changing established ways of working, and it will take time for customers to adopt to those practices and change how they work. It's really a human change management process. But yes, as we implement with ACFS and as we process through that implementation, then we will look at other customers in Australia and also the U.S., as we've mentioned before.

The next question comes from Tom Beadle with Jarden.

It's probably actually just a follow-up on Roger's question around CTO. I mean, obviously, it's still in the process of implementation with your partner. I guess can you just talk about some of the factors which are driving the delay to that implementation, just given we thought it would be up and running? And just given the reduction to your product development headcount, how should we be thinking about the timing of the launch of CTO in other markets?

So to the second part of your question, I will say that the headcount reduction program phase that we're talking about today will not impact productivity in the short term. It will have a positive impact in the long term. So we are not making this change and having any expectation that it will slow us down at all. To the first part of the question, I'll answer it initially, and then I'll ask Richard to throw some thoughts in as well. CTO is a product that we have evolved over the last few years.

We have added more and more optimizations to that. We have spent more time with ACFS and with the industry, understanding the pain points in port and container transport, and we have enhanced that product. The really large part of this really is the human change management process and disrupting ways of working that have been the case for 10 or 20 years. Richard?

I would actually say 50 years. Containerization happened in the 1970s. And there's a substantial amount of inertia and we're working -- ACFS is a very good partner, and we're working to make sure that they can transition in a way which doesn't damage their existing business, but adds a substantial amount of opportunity to them. And that just takes a bit of time. It's just -- and it was over the Christmas period that a lot of this work would have happened. And as you would rightly expect, there's a lull in the Christmas period. And so most of these senior transport people take their holidays and go overseas and so forth.

So there's just -- it's just a management issue of the transitional issues that we have to work through. And I just want to compliment ACFS because the industry is very reticent to change its processes because they've been around for a long time, even though they're inefficient, even though we can show that inefficiency, we've got to hold our partner harmless and actually deliver additional business to them so that they can reuse the yield that comes from the efficiency that we create. Otherwise, the efficiency is actually a damaging thing for them. It's a commercially complex thing to prove the first time. Once we have that done, I'm sure there'll be a rush to sign. But right now, we're working very carefully and very closely with ACFS, and we're very happy with the partnership.

The next question comes from Andrew Gillies with Macquarie.

Perfect. Just 2 main ones from me. Just around the large customers yet to come across about the 30% of revenues on those larger term-based contracts. Can you maybe give some sort of insight into those conversations, Zubin, that you're having? What are kind of the things you're able to communicate to them? Like obviously, Richard went through some detail around a demonstrable ROI and saving on labor costs. But are some of those customers already taking early release products that maybe could be switched off if they weren't to come across sooner? Like can you talk to some of the drivers or levers you have in that process, please?

It's a great question, Andrew. So you're absolutely right. We -- for some time, we had something called an EAA, an early access agreement. We've now transitioned that to a trial access agreement. And that allows customers who have not yet migrated to the CVP to access individual features that are of benefit to them or of interest to them for a very time-restricted basis. And obviously, that is a strong carrot for them to then use those features, ingrain those features into their practices and understand the benefits of those features and see the labor efficiency and risk reduction benefits of those features and then migrate over to the CVP.

So a number of those customers in that 5% cohort that represent 30% of CargoWise revenue are using trial access agreements for some features, including the AI features, including Neo and a number of other features that are well liked, certificates of origin, electronic bills of lading and many other features. And those are very time restricted so that we can move them across to the CVP. To the other sort of contents of those conversations, obviously, disbursement billing, which is the ability for them to recover the cost from their customer takes up a significant part of some of those conversations. And in those conversations, we explain the benefits. We show how we have seen a number of customers adopt that practice, and those conversations also go very well.

Perfect. And then just a second one around a lot of the start-ups we've seen popping up in the industry that might do a specific product or module. The workflow commentary that you made earlier sort of talks to the sustainable competitive advantage that you have. Are there any ways in terms of like charging for data egress or ingress to the CargoWise platform that could prevent those new start-ups from even really operating with some of your key customers?

Look, it's a good question. I don't think we have to do that. Really, we stand behind the strength of our product. The value of having all of these modules and features and capabilities surrounded by our AI workflow engine deeply in one global operating system, that is the real advantage. These point systems, they previously had a place with the CargoWise Value Pack, where all of those modules and additional features are included in the Value Pack at no additional cost. It means customers get the benefit of having them all in one single system.

I'll just add one more piece of detail to that. Normally, when you're doing an external AI agent, you'll build an MCP or some other form of connector that allows data integration. Now we have -- because we're a system of record, we do not allow access, writable access to the core database of the system. There are external APIs that we provide, but those, again, are very much our APIs and you have to be inside our product and you have to have the full product stack. Remember that we get paid per transaction now. There's no user count. We don't care if a customer has one user, 100 users, 1,000 users or 10,000 users. The transaction is the only thing that matters to us now. There's no overheads from a hosting perspective from a cloud perspective, and there's no overhead for customers.

So as long as there's a transaction in the system, then we get paid. And because we connect to terminals and port authorities, customs authorities, shipping lines, airlines, trucking companies, rail companies and those have -- and we bought 57 businesses in order to integrate globally. We as not just a system of record, but also the moderator and the way that everybody has to connect to those sys -- is inside CargoWise. So even if someone was to build a massively capable external agent and use our APIs to connect to it, it will create a transaction in CargoWise and we'd be paid for it. However, that's not the efficient way to do it because the AI personas that we've got are tightly integrated with the data, can write back to the database and can talk directly to those authorities, can talk to the operators inside the system and can talk to the customers in a sort of self-service model, very typically to how airlines and banks are now doing those sort of things. with customers.

We have got -- we've been working on this for a long time now, and the AI piece just gives us additional advantage. And I'll be a bit more bold in terms of the software development. Yes, it is a hard thing to do to transition the company from a model where most of the code is written by humans to a model where most of the coding is an orchestration of a very senior person who is a product person or a software architect. But that is the new model. And that model could actually have efficiencies of maybe 2x to 10x more than what you can get out of any software development team. So individually, people can do far, far more work with AI than they could have done even 9 months ago.

And we're certainly on that journey, and we're very closely connected to what we're doing with Claude Code, what we're doing with ChatGPT, what we're doing with Gemini. And there's a huge competition here. There's an arms race going on between the LLMs to make the most efficient thing they can use. And we can take those efficiencies and plug them into a fundamental moat that we have and it just really can't be displaced, but it can be accelerated.

The next question comes from Paul Mason with E&P.

Just wanted to ask for a couple of clarifying points around the transition pricing protection mechanism. So the first thing, just with the really large forwarders that had quite significant discounts, some of which obviously you have transitioned across to the new model, would they be very likely to be on TPP and therefore, like the actual sort of price rise associated with the new commercial model won't be embedded in second half yet and maybe won't come for a couple of years. I just want to clarify that around like what's happening with the really large ones that would have -- some of them maybe had 50% discounts and things like that at point in time.

And then the second element I wanted to just get some guidance on was just in terms of how disbursement works with TPP because based on the TPP, it would appear that basically everybody's imputed price per transaction is still different. So what are you sending through to the final invoice?

Yes. Good questions, Paul. So to the first part of your question, no, it's not correct to say that TPP is sort of subduing revenue for those large customers. The TPP was a commitment to some customers to support the transition period. There are a number of customers that have seen price rises. And that, of course, is one of the ways that we are talking about our revenue growth in the first half and into the second half. To the second question about disbursements and what that looks like. Let's just think back to the model before we had community pricing and before we had the CVP. We had a quite complex billing algorithm where there were many overheads, including seat fees, including cloud hosting fees and then many different transaction fees rather than just a single transaction fee.

And our customers were doing whatever they wanted with that. Some were treating them as overheads, some were passing through an average, some were trying to figure out how to sum them up and pass them through. Regardless of whether a customer is now on the TPP or not on the TPP, they can now pass through part or all of that transaction very clearly. So for customers not on TPP, they can recover the whole cost as a disbursement. For customers that do have TPP, they can recover a large part of the cost, that is the transactional part very easily. What they do with the TPP is exactly what they were doing with the pre-CVP pricing as well. This makes it a much better proposition for them in all ways.

The next question comes from Max Andrews with Unified Capital Partners.

I was just going to ask on the cost out. So obviously, 2,000 headcount reduction is a big number that's going to get taken out of the business on a gross impact versus the net impact you're saying. Could you just sort of unpack the execution costs and whether those costs are sticky going forward?

Yes. Sure. So as we mentioned when we reaffirmed guidance, it does exclude the impact of this program, but we aren't expecting there to be a material impact to FY '26. And that's really because there's a number of factors that you have to take into account. There's the cost savings, as you say, but also the restructuring costs. So there's a few things in there in terms of termination and other support and then also the impact of capitalized development as well. And so we've not guided to what those numbers will be, but we have said that for FY '26, we don't expect them to be material.

The next question comes from Sriharsh Singh from Bank of America.

Three quick questions from my side. One on e2open. How should we think about the growth in subscription revenues into FY '27 is mid-single-digit revenue growth for e2open's subscription part of things doable?

Second question, any incremental customer feedback? Or how has the latest customer feedback been on disbursement, the adoption of disbursement billing on CVP? Are they warming up more to it after 2 or 3 months, there was some initial pushback.

And lastly, headcount reduction, 2,000 people, is it more -- any color on whether it's more concentrated into e2opens business? Or is it more concentrated into [indiscernible]

Thanks for the question. So for the first part, what we have said since the acquisition of e2open is that we are very focused on what we call Horizon 1. Horizon 1 was the $50 million annualized run rate cost savings, which we've achieved nearly 18 months ahead of schedule. It was really embedding what we call the WiseTech Way into how e2open builds products and delivers value to customers. That is moving from customization to standardization. That is aligning our commercial models, and that's strengthening relationships with customers and with the industry.

Now that will have some short-term impact on customers and on revenue. But in the medium term and in the long term, this is how we build long-term sustained value. To the second part of your question, which was the adoption of disbursement, the adoption of disbursement is in line with where we thought it would be sort of 2.5 months in. We are seeing a number of customers, both in forwarding and in brokerage disburse and recover the fees from customers. Obviously, it's a disruptive change. It's not how they have treated software fees in the past, but it is actually exactly how they treat many, many other third-party charges like port charges, customs charges, duties, taxes, storage, detention, demurrage.

So it is being adopted at the pace that we thought it would be adopted. And then to your last question about headcount reduction and where it is concentrated. Look, we are -- we see the company as one company. So we are talking about the 50% reduction -- up to 50% reduction in product and development and customer service across the entire WiseTech. And we will then look at all functions across the entire business.

This concludes our question-and-answer session and does conclude our conference for today. Thank you for participating. You may now disconnect.

Welcome to everyone joining us. Welcome to everyone joining us today in person and online. Carry on, come in, find a seat. My name is Tudor Maxwell. I'm responsible for WiseTech Academy. I've been in WiseTech for 7 years. My teams create learning and certification for the industry for our software users and for our staff. We translate our content into 30 languages, and we build the platform on which we do all of that.

I'm going to be moderating some of the sessions today. But before I invite Zubin to officially welcome you to our Investor Day, I want to acknowledge the Traditional Custodians of the land on which we're meeting, the Gadigal People of the Eora Nation. I pay my respects to Elders, past and present, and extend my respect to all Aboriginal and Torres Strait Islander Peoples who are with us today, both here in their offices and online.

For those here in the building, amenities are out past reception and round past the lifts. Exits are clearly marked. And our team members waving at you now from the back are available if you need anything. For our online audience, all sessions are being streamed and recorded. And you can submit questions along the way. We'll address them in our Q&A session at the end of the afternoon.

Now welcome Zubin, and I'll hand over to you.

Thank you, Tudor. Good afternoon, and welcome to our 2025 WiseTech Global Investor Day. It's fantastic to have you here with us at our Sydney headquarters. And to everyone joining online, thanks for shipping yourselves in virtually.

We've planned a fast, efficient, fully optimized session for you today. And just like the efficiencies we deliver to our customers across the global supply chain, today's Investor Day will be just as streamlined, no queues at the doors, no lost paperwork and absolutely no unexpected delays. You guys are a tough audience.

Today is really important. It gives us space to step out of the day-to-day and show you exactly what we've been building. What's changed what we've delivered and where we're taking the company next.

I want to acknowledge the WiseTech Global people here today, including our Board, our leadership team, this year's presenters and many of last year's presenters who helped lay the foundation for the momentum you're about to see. Their work powers everything you'll hear today, and I'm incredibly proud of what they've achieved.

We've designed today's program to reflect the top priorities that are shaping WiseTech right now, our big rocks. These are the initiatives that move the needle, drive value and define our future. These big rocks and everything we do anchor back to the why we exist. We build products that solve the most complex high stake problems in global trade and logistics. And for our customers, that translates into 2 things that matter above all else: efficiency and throughput at levels that could not previously reach; and compliance and risk reduction in a world where global trade is only becoming more complex. You'll see how our new commercial model, the CargoWise value packs, align value, technology and long-term customer relationships in a way that strengthens both our economics and theirs. We'll take you through our work on Container Transport Optimization, a major industry pain point where WiseTech is uniquely positioned to deliver real industry-wide disruption. We'll show you how we're harnessing AI to drive productivity across our products and inside Wisetech itself, building on 3 decades of automation leadership, and pushing it far beyond what the industry has today. And you'll hear an update on our integration of E2open and what it unlocks for us.

The breadth of problems we can now solve across the entire global supply chain is unlike anything we've tackled before. You'll also hear from our independent directors, favoring diverse and significant global experience across technology, supply chain, compliance and governance, and we're genuinely excited for you to hear directly from them today.

When we look back even just 2 years, WiseTech is almost unrecognizable. At that time, our core focus was primarily international freight forwarding and customs. With the acquisition of E2open, that's changed significantly and deliberately. We've expanded our total addressable market in a meaningful way. We now have the reach, the data, the network, the capability and the technology to operate across the entire supply chain from planning and procurement through transportation and visibility all the way to execution. This is transformative, and it opens the door to a much larger long-term opportunity for WiseTech.

Our work on Container Transport Optimization is another major step in expanding our total addressable market. By solving one of the industry's most persistent and costly pain points, we're opening up an entirely new segment of value that WiseTech is uniquely positioned to lead.

Throughout these transformations, we've remained anchored on our 3P strategy: product, penetration and profitability. And we always come back to the fourth P that enables the other 3, our people. As we bring our expanded portfolio together, including E2open, and as a product-led company, we're aligning our work under a set of product pillars that will shape how we build, how we integrate and how we scale from here. These pillars will provide clarity, discipline and direction as we drive the next phase of WiseTech growth. This approach will enable us to deliver a platform that is simpler, more powerful and more connected for our customers and partners globally. And none of this is possible without the strength of our team. Our wide span management model gives people real ownership, real accountability and the freedom to drive meaningful outcomes all aligned to our big rocks. Outcomes for their teams, for our business, for our customers and ultimately, for our shareholders.

When you put this all together, the scale of our market, the evolution of our product strategy, the depth of our technology, the breadth of our data and the caliber of our people, the opportunity ahead of us is extraordinary. This next chapter is about execution and long-term value, taking everything we've built, everything we've acquired and elevating it into a true global end-to-end supply chain marketplace and the operating system for global trade and logistics.

I want you to walk away today with 3 clear messages. First, we are deep innovators. We are not just a software vendor. We are redefining the industry. We disrupt legacy thinking, we disrupt ourselves, and we consistently convert the massive efficiencies we create into meaningful customer and shareholder value. Second, we said we would deliver, and we are delivering. We have made strong progress integrating E2open and shaping our future product strategy. We're advancing the rollout of Container Transport Optimization with ACFS. We have built AI capabilities that materially improve efficiency, accuracy and throughput. And we have already transitioned around 95% of our customers to our new commercial model. Third, we are uniquely positioned because of the unparalleled data flowing through our platform. No one else has the depth, the breadth or the real-time visibility across global trade than we do, and that advantage compounds every single day.

Thank you again for being here. I'm excited about what we're sharing today and even more excited about where we're headed. So on that note, let's get started.

So welcome to our first session on the new commercial model. I'd like to ask our panelists to come and take a seat.

Thanks. Good. So on the 31st of October, we announced the release to our customers of the CargoWise Value Packs. Last week, we announced the pricing, and on Monday, it went live. This is a very significant change for our company. And in this discussion, we asked why did we do it? And what are the benefits?

To answer the questions, I'm joined by Zubin, our CEO; Caroline Pham, our Interim CFO; and Gene Gander, who is General Manager of Global Sales joining us from Chicago.

Zubin, what is a CargoWise Value Pack?

Great question, Tudor. So the CargoWise Value Pack is really multiple benefits for our customers and for the industry as a whole. The first thing is that it delivers significantly simpler billing moving from a price list of roughly 150 to 200 items down to now a handful of items that are on our price list. This means that customers are being charged for the core logistics transactions only. And the 200 or so additional modules, many of them being very new, are included and bundled into that pricing. This means billing is simpler, there are reduced overheads. In fact, in most cases, there are no overheads. There's no seat fees. There's no standard cloud hosting fees. This moves to a truly transactional basis only. And then part of those capabilities, we're delivering many, many AI features. And we have a separate session on AI. So I won't go too much into detail on that. But many of the features listed in that 200 and a lot of our future development is based on UI -- based on AI, driving even more automation and efficiency into the industry.

And then the last point I'll raise, Tudor, is that this model allows for the very easy recovery of that CargoWise fee from the actual beneficiary of the benefits we deliver. That is the end customer, the importer or exporter. That's a true game changer. That means that for logistics service providers like freight forwarders and customs brokers who are actually agents acting on behalf of importers and exporters, the benefit they get is directly aligned to the value they're delivering to the importer and exporter. So it's a very reasonable thing to say that, that charge should be recovered from the importer or exporter. And you can see that if we do that, then that means for our customers, the freight forwarders, the brokers, the logistics service providers, CargoWise is available at no cost. That's a real game changer and a very powerful concept.

Zubin, you mentioned the many features bundled into a CargoWise Value Pack. Could you focus on a handful, 2 or 3 of those that are now available as of Monday for those who are on the Value Pack.

I can list all 200, if you like.

Just 2 to 3.

Okay. Look, there are some really impressive features in this set, things like ComplianceWise, which is for export compliance, which we'll take you through in the AI session. The AI classification assistant, which solves the most complex process in the supply chain, which is import customs classification. The greenhouse gas emissions calculator, advanced auto manager, electronic bills of lading, many other features. And there's a lot in that 200 -- more than 200, there's about 100-plus features in there that are actually brand new and have not been released to customers except on a trial basis in the past. So as of Monday, those brand-new features that we've invested in heavily over the last 12 to 18 months are now available for customers. And these features, like the rest of CargoWise, will deliver 2 things: efficiency for the industry; and risk reduction or compliance for the industry.

Thanks, Zubin. Gene, you are the voice of the customer. Often what are the customers saying?

As far as the CargoWise Value Pack, the idea that we have an inclusive group of functionality that's all for a single price. So the customers have been asking for simplified pricing for quite some time. When we take a look at this from a new sale, we've worked to minimize the friction of bringing customers on board, monthly, no commitment, pay as you go. But we had this price list that Zubin talked about that was STL, which was very granular and very complex. When you take a look at it, it was closer to 200 line items versus 100 or 150. The idea that we boil this down now to 4 value packs makes it very simple math. So as far as acquiring new customers, the idea that we have the simplicity of the CargoWise Value Pack pricing and even with existing customers, they've constantly been coming back and asking for simplified pricing, simplified, transparent pricing. So a large global forwarder who's looking to expand next year, helping them going through the budget process of what would this look like in order to use more and more of CargoWise. That exercise is boiled down into minutes, a very simple math.

Gene, another reason why we had to move on, and I've heard you talk about it before, was adoption of the full power of the software suite. Can you talk a bit more about that?

So we put billion of R&D over the last 5 years into the products. And many of these features, items, module have a price point. And that price point has a bit of friction. There's the psychological behavior that I see value in what we've offered, I see value in what you're offering, but I also see a cost line item to consume that. This basically eliminates that. We've added extensibility to CargoWise for all, but not everyone has been using it. So we made a commitment to change the world of logistics and we're doing that. Building it is not enough. We need to partner with our customers to change that behavior. When we take a look at that behavior, that's a psychological impact I talked about, but I think it was last year when we were at this conference that somebody quoted one of our customers in saying, every time I hit the space bar, I feel like the cash register rings. So now although we've made every module feature functionality available to all customers to date, that they can consume it under STL, now it's included with the CargoWise Value Pack. So I have a shipment, I have a shipment fee. I have a customs entry, I've a customs entry fee. All of that flows through, and then there's not that a la carte decision of functionality, module, value, cost.

So simplified pricing, higher adoption, those are external needs we've met. There is an internal need because of AI changing the world. In 2026, we can't have a license model that's based on users whatsoever, it's changing things. We've taken our customers through this journey. So through the years, we had onetime CapEx licensing per module basis. We started to make that transition where we can no longer be based on users to see transactional license. And each time we made this movement and leap with our customers, they were able to get more and more value out of their system, out of their CargoWise system from day to day. And AI is even more tangible and bigger than everything that we've done to date with that. Instead of looking at it in IT cost, customers are starting to look at it from an operational cost. And the operational cost savings of what we can do and what we can do with AI with doing more with fewer is huge that the IT cost pales in comparison to the operational cost savings.

Thanks, Gene. Caroline, we've bundled the CargoWise Value Packs with the new commercial model. It's a package deal. Please drill into the details of the new commercial model. What is it? How does it work?

Yes, sure. So the new commercial model really hinges on 2 things. The first one is a concept in the industry known as disbursement billing. And what this is, is it's really the concept of cost recovery. And as Zubin mentioned, recovering the cost from the ultimate beneficiary of the good or service. So examples of fees that are treated as disbursements in logistics are our customs fees, biosecurity fees, gate fees. And so what we're trying to do here is help the customer, our freight forwarder, understand what CargoWise can do for their end customer, and therefore, help them with that value proposition in terms of getting the cost recovery from their customer.

The second thing that we've done here is actually enabled the ability for our customers to disperse these costs and without essentially having to do anything. So we've built functionality in CargoWise that over 95% of our customers have access to now, which means that automatically, the system will calculate the charge that they are incurring for that specific transaction, put it on the invoice that they're generating to their customer without our customer having to do anything. So ultimately, what we've given them is a choice to opt into disbursement billing and really align themselves with how the industry treats these sorts of fees anyway.

Caroline, we've also called a community pricing. What does that mean?

So community-based pricing is not a new concept. It's something that we've spoken about pretty much ever since we launched the MUL model back in 2008. And it's really about ensuring that there is a standard price list for all of our customers. Now there's obviously sales benefits from doing that because you can focus more on the value instead of price, but what we're doing with the new commercial model is leaning in even more into that concept.

So with STL, we had a standard price list in terms of all the list prices being equal for all customers. But what customers ultimately paid us did vary depending on how much they took up of the behavioral discounts, volume, prepayment, CargoWise certification, et cetera. With the new commercial model, we're taking community-based pricing kind of all the way to the end, which is everyone pays the same price. There is no discount anymore. And what that's done is it's really leveled the playing field in terms of allowing smaller and medium-sized customers to actually compete against the larger guys because there is no differentiating factor on the CargoWise fee. They can differentiate themselves based on the quality of their service customer service levels, global capacity. There's different ways that they can now differentiate themselves as opposed to just a fee from CargoWise that they ultimately couldn't control.

It's a big change, but we've made commercial and pricing changes before. We've changed our models in 2004 and again in 2014. What did we learn from those industry-wide changes? And how is this one different?

So I think the biggest learning that we've had from the previous 2 transitions is really about how do we help our customers understand and maximize the benefit from the change. I think all of the transitions that we've done, it's always -- the biggest challenge has always been about change management. I think the value has always been there because we've always been a product-led company. And so that's not in dispute. It's more about how do we get customers to quickly understand how they can best benefit from the new model. And in this case, how can they benefit from the 200-plus features how can they benefit from AI. And more importantly, how can they frame up the discussions with their customers to ensure that they can take advantage of disbursement billing. So I think the key learning for us here is to rely on one of our mantras is to -- which is to lead with content. So we've put in a lot of effort in creating written content for our customers and for our internal staff in terms of what the features actually are, which features are actually beneficial to their customers, so the importer and exporter, and more importantly, how do they frame up that discussion. So it's a content piece. And then in terms of what's different, I would say, with the previous models, it's very much been a transition over a number of years, right? So MUL to STL took us probably anywhere between 3 to 5 years. With this one here, we've already moved about 95% of our customers, and that's a big change, right? The reason we did that, though, is, as you mentioned, this is an industry-wide adoption that we're trying to drive. And that's why moving the majority of our customers is actually a big piece of helping deliver that.

Gene, can I come back to you just on the customer piece. So we've got -- we've been pushing out content about how this works. It's nonetheless something that we're going to have to work on for a while. What are you hearing? How you -- have you had interactions with some of the big customers?

All size customers. So the first part of it, once they get their hand around it, the simplified billing we talked about. The idea that I get this full functionality, everything that's offered these 200-plus features for that simplified price, that's the second one. The idea that for most of these customers, it's largely the same price as what they're paying today, total cost, even though they're able to pass it on. For these customers -- excuse me a second here, I'm loading my train of thought. The big win is the simplified pricing, the all-in future functionality of the 200 ICs, the cost recovery aspect is huge. Once they get their hands around the idea that this is a per cost, per shipment, so some of the overhead costs that we might have had in the past, such as a database fee or the container automation, this boils down to a single shipment fee. And when that shipment fee equals what they're processing as an agent on behalf of their customer, and that they can pass that on as a recovery type fee, a disbursement fee, that's kind of the Eureka moment with the customers.

They're also taking a look at everything that we're offering. Zubin talked about the mega features, and everything that's included within CargoWise Next and the CargoWise Value Pack. Customers, through the years, have had to -- or have taken a look at some bespoke log tech solutions to put on their system, whether it's the visibility, allocation management for ocean contracts, the greenhouse gases that you had mentioned or even AP invoice ingestion in order to suck that data into their CargoWise system. The idea that, that is now included as part of that single simplified fee of the CargoWise Value Pack is additional IT costs that they can rip out of their system.

Just before I leave the new commercial model, Caroline, we've spoken about 95% of our customers, but I'm sure many of our investors are asking or would be asking the question about some of the big customers that haven't yet moved, and that 95% is by number and not by number of users in total. So talk us through what are the implications for that other 5%, some of whom are our biggest customers.

Sure. So that's right. The 95% that we've moved over as of the 1st of December, they're the customers that are on a standard contract which is a month-to-month contract that gives us the flexibility to make changes with 30 days notice. So that's the majority of customers by count. In terms of the 5% that are not yet on the new commercial model, they're mostly our larger customers, which I'm sure many of you know are on a commitment or temporary transitional pricing arrangement, which means that they're essentially on a fixed-term contract. So there's a little bit less flexibility. But I think the key thing here, and this is all about the communication that's gone out to all customers, not just the 95%, is that there are many features that are only available in the new commercial model, one of the most powerful ones, obviously, being the ones backed by AI. And the fact that we've enabled our customers to easily disperse the cost, which is an industry-wide adoption for other types of fees, we think that there's very big incentives for those customers to actually want to come over to the new commercial model, and that's definitely an opportunity for us that we're actively looking at in terms of how to help them. And really, if they're looking to come over, we're more than happy to be honest, to let them come out of the fixed-term contracts because it's a win-win for us and for them.

So I've got 2 questions for you. I'm going to come to the question of revenue and what it means for us. But before that, please talk us through a little bit about the scale of the magnitude of the costs? And how big is that for the end shippers or [indiscernible].

So if you think about what we're saying here, we're really boiling it down to we're giving customers our customers, freight forwarders, customs brokers and other service providers, access to hundreds of additional features more than 100 being new. We're giving them access to many, many AI benefits. We're giving them simplified billing, and we're giving them the option to recover that from their customer, which we think is the right way forward and where most customers will move to. And when you put that charge on the customer's invoice, on the end customers' invoice, that is the importer or exporter invoice, we're talking about a charge that is likely the smallest charge on the import of our exporters invoiced, the smallest charge. And in terms of quantum, for an average containerized Shenzhen to L.A.-type shipment, we're talking about a charge that is less than 0.1% of the landed cost of goods, less than 0.1%. And we can very openly talk about the pricing because, in fact, it's on the website now, and it's available to everyone to see as community pricing, we're talking about, in those 4 value packs or in the forwarding in the customer's value pack, depending on the containerized mode depending on import export, we're talking about a charge somewhere between the USD 2 mark and the USD 19 mark. We are talking a very small charge, yet we add arguably the most value in that supply chain movement.

And I mean, I think it's reasonable to say that for all of that R&D work that we've invested in, for the efficiency, productivity and throughput gains that our software delivers and the risk reduction in this increasingly complex world of global trade, it is a reasonable thing to say that we should be able to capture some of that value that we deliver.

So what does it mean for revenue?

Look, it's a good thing for revenue really. 95% of our customers have moved across. So that's obviously a really big step. And as Caroline said, that's a lot faster than we've done prior pricing model changes. It's also important to know this is not just a pricing model change. This is unlike prior transitions. This is, sure, there are different numbers and different dollar numbers, but they can be recovered, but there are new features, but there's AI. I know I'm sort of repeating that, but this is a really important point. This is a whole new way of CargoWise operating in the market. This is not just a pricing change where we're coming out with a new price list.

In terms of what it means for revenue, Tudor, we've guided that in FY '26, there'll be revenue from a new commercial model. We believe that the steps we're taking are in line with that guidance, and we're very excited by the fact that 95% of customers are on this model. We've had conversations pre 1st December and post 1st December with customers of all sizes, as Gene said. And the idea of using these AI features, the idea of being able to use these 200 other features that many companies wanted to use but were prevented from using because of that friction, because of finance teams and procurement teams putting limits on what they were allowed to use. The industry sees this as a positive step. But let's be clear, this is a really big change that we're pushing out. And just like we've done for 30 years, we are disrupting the industry, but it's the right step for us to take, and it's the right step for the industry.

I'm going to come back to you for final comments. But first, I want to go to Gene again. Gene, you spoke about adoption of the software platform. You spoke about simplification and the need to move because of AI. But there is also the fact that with the new community-based pricing model, small- and medium-sized enterprises have new access to our software. That wasn't always easy before. What are you expecting to see with your sales teams and interacting with small and medium-sized enterprises?

So we're hitting the street with simple, transparent pricing, and everything I said earlier, lowering that friction to sale is a big win. We're hitting the Street with the idea for this single fee. You get these 200 items of functionality within CargoWise. That's huge. So the differentiator out there is everybody has the same tool at their disposal. It's how effective and powerful that they can use that. We have the WiseTech Academy that you run with deep content for CargoWise operational and certification that Caroline talked about. We also have industry courses available to the CBP through the CBP Cargoes Value Pack for that. So that makes the users much more powerful. We also have the strong relationships with our CargoWise service partners. So when you think that everybody has access and include it to the same module, how can I use that more effectively and competitively as a differentiator down the street, but yet I'm not paying incrementally more for that. So we see the people working closely with our service partners in order to use that deeper and faster and bring out more value.

So basically, with what we're doing here is this is kind of the next step of everything we're doing to build the operating system for CargoWise, trade and logistics. And basically, this is a game changer for the industry as far as a new norm to bring out more and more productivity.

All of that value available to small and medium enterprises, and they're not paying a set fee, which would otherwise have locked them up shipment is a shipment, whether you're bobs forwarding or a large global forwarder.

This is massive Zubin. It's a big change, and it's launched.

It's exactly right. We've launched 95% of customers live on this as of Monday, revenue in line with what we were expecting, feedback in line with what we were expecting. Again, though, this is a big complex change, but that's what we do really well. We drive change in the industry, and we know how to do this. We have done this for 30 years. The benefits that this model brings to shareholders, but more importantly, to the industry, this idea that all of the R&D that we've invested in that we know will transform the industry, we know we'll drive efficiency and risk reduction, not just risk reduction in terms of let's reduce fines for freight forwarders. But actually, let's protect the borders, and let's make sure we're doing the right thing in terms of duties and taxes and border security. These are meaningful things that we're solving. And the fact that friction has gone, the fact that seat fees are gone, the fact that standard cloud hosting fees are gone, and there's now a single price that is directly tied to the value that we actually deliver and that, that price can be recovered from the end customer because it's so transparent now, that is a real game changer. And it's a very powerful step we've taken, and we're very excited to see how much further we can add value in the Value Pack over the years. And of course, as we add more value to that Value Pack in the long term, there's an opportunity to monetize that.

That's a good note on which to end. Please join me in thanking Zubin, Carolina and Gene.

They'll now exit, and we'll welcome our next panel. So for the session on AI in WiseTech.

All right. Welcome to our session on AI in WiseTech. We're excited to share what we've been working on since we had our annual results briefing in August, what we'll be focusing on next year and what we're learning along the way.

To cover the topics, we've got Zubin again. Mirta Fagundes Dos Santos is our AI team leader, and Andrew Cumming is our Senior Product Manager for compliance-wise and denied party screening.

We're going to focus in this discussion in 2 parts. The first part is how are we using AI to make our customers more productive. And the second part will be how are we using AI to make our own delivery more productive.

Andrew, making our customers more productive is at the center of everything we do. The first and the least glamorous task that they have to deal with probably is data ingestion, but they've got to get the data into our systems if they're going to benefit from the value we create. And they need to do that efficiently and accurately. What functionality have you released in the CargoWise Value Packs as of Monday that help them to do this?

Yes. So -- is this working? Oh, there we go. So I'm really excited to share this product with everybody. And I think our customers are really going to love this one. So in international trade, there are a lot of documents. It's the lifeblood of the process almost. And unfortunately, many of these documents are not digitized. We're working on that. But many of the documents are PDFs or they are images of a print out of a scan of an image and somehow the forwarder then has to get this information into CargoWise so they can use it in their workflows.

And we just saw a video that sped by up on the screen. And that was our forwarder operator doing the data entry. And I don't know if you saw, but it took him about 5, 6 minutes to do that. And you might be saying they're thinking, well, 5 minutes, that doesn't sound that much. That's not a big deal, is it? But if you just take the global freight forwarders and just the commercial invoice, which was the document that was up on the screen before that they were doing the data entry for, they have to deal with about 10 million of those every year. So if you just do some basic math, 10 million times 5 minutes, that's 95 years of data entry every single year.

Just on commercial invoices.

That's just on the commercial invoices. So that's a pretty huge burden. Now our customers are aware of this, of course. It's pretty obvious, this issue. And so they would have offshore registration data entry teams that would do that. And they probably use some technology as well, like optical character recognition, OCR technology. But this kind of software also has some problems. It's not particularly reliable. It often requires intervention. It doesn't deal well with a sort of a huge variety of formats that these documents have. And I can tell you, commercial invoices are all over the shop. And it's a bolt-on to CargoWise that needs to be dealt with.

So what we can now offer and is now available as a document ingestion system that is native built into CargoWise and all of the benefits that, that brings. And it is built using the latest AI technology moving up on the screen here already. yes. So a user has just attached the document, and that was actually the end of the process. When they attached it and click okay, that's the end. And the data is simply then available here on the customs job, accurate without any data entry required.

Andrew, accuracy is critical, and everyone knows that AI can hallucinate. Talk to us a bit more about accuracy in this case. Are we driving accuracy up? Or is there some risk left relative to OCI or manual data entry?

So the accuracy of the system is really very good. And one of the ways that you do that is you have your models very targeted to the document that you want to bring in. And so we have AI models that are really nicely churned to be really great at processing these kind of documents. And because it is the latest AI models, they're, in a sense, able to kind of understand what they're looking at on the page. They're not just translating text. And this allows them to make sort of human-like decisions about how to structure the information and what to do with it. And if the model does pick up, that there's some uncertainty about the data, it will flag that uncertainty to the human operator and direct them towards that element, so they can review it.

So a massive potential saving, and that's just the commercial invoice. Now that's one agent deployed. We've got another one for accounts payable and many more being created.

Yes, that's right. So both commercial invoice and accounts payable will be available in the GP1 is available now to test for clients.

Great. Thanks, Andrew. That's data ingestion. There's another area that you've addressed as part of the CargoWise Value Pack launched on Monday, and that relates to risk and screening. Can you talk us through that example?

Sure. So forwarders have a very important responsibility when it comes to global trade compliance. And here, I want to talk about a little bit the export controls. So the forwarder needs to be on the lookout for red flags on the shipments that they're involved in. So this could be that the parties on the shipment are subject to -- they're on government denied party lists or they're sanctioned parties. The locations involved in the shipment might be subject to embargoes or other restrictions. And then the product on the shipment may have something is restricted about it or its end use, its possible end uses is prohibited. And Compliance Wise, which we have up on the screen now, is great at giving you a nice overview of these risk categories, the who, the where and the what. But the what is actually really, really tricky to get right, and this is where we've had a breakthrough with using AI agents recently.

So why is it tricky? So if I ask everybody in this room, if a rocket launcher was a restricted item. Probably most people would say, yes, it is, and you'd be right that it is. But there are many more items, which -- where it's not so obvious. So if I were to ask, is high purity nickel powder, is that a restricted item? Or is a metal bar made from tungsten is that a restricted item. Some of you here if you've got some ex customs brokers here might know the answer. In fact, they can be restricted. So this is really hard for the -- for our customers to deal with. And if you were a global compliance officer working for one of our customers, probably the way that you deal with this is you try and sort of empower your frontline teams with knowledge and hope that they can sort of detect these kind of risks, so you might make them do an e-learning course or you might give them an SOP or do an annual road show or something like that. But this process doesn't really work all that well. There's several examples of logistics providers, despite having a program like that, still being hit with fines. So this is not really the answer. And this is where the agentic AI can really come in.

So what we've built, and it is available now. We've built a series of AI agents, and you can think of them sort of as like a virtual compliance officer, I guess. And they specialize in different jurisdictions. So we have an AI agent that's really good at risk assessment for U.S. export controls on munitions and dual use. We have another one that's very good at EU export controls on dual use and so on. And these agents are able to make really quite intelligent and very precise assessments that were just be impossible if you try to do that with a rules-based system.

And up on the screen here is actually an example. And I really like this example actually because it shows how the AI can pick up on the sort of the nuances and connect the dots. So I don't know if you can -- if everybody can read down the back. But -- so this is a shipment from France to China. And we've got the 3 sort of risk categories there, and the AI has flagged a risk on the goods, which are described as metal bars. And the AI has provided some notes down there in the bottom corner. And it said it doesn't -- it has a concern with the vagueness of that description because you can't exclude restrictions within sort of the family of metal bars, let's say. But what it's also done is it's research the parties on this shipment. And it's determined, it's figured out that the consignee is a manufacturer of high-grade industrial tools that are made of tungsten. And it's gone, okay, well, that then raises the risk level, also because the receiver is in China, which is a sensitive destination for dual use goods. That raises the risk level. And so that's why it's given a red flag.

So I really like this one. And I think it's like it's going to enable our customers to massively scale up the expertise that's going to be available to the frontline operators on tap 24/7 and without scaling up the actual experts.

Yes. Andrew, very quickly, precision is of high importance when it comes to risk. It's easy to identify risks if we don't mind false positives, identifying risks that are, in fact, not risks. That's critical. How well are we doing?

Pretty well. So we've done a lot of evaluations on these agents. And I'm fortunate as a product manager at WiseTech to have a lot of colleagues who have very deep expertise in customs and compliance. And they're tough, like they're hard markers to sort of clear the hurdle, which is great. So the AI systems here can achieve a 96% precision. So for the operations managers out there, that's great because that means less false positives. But for the compliance managers, I think the more interesting thing is that it doesn't miss any of the red flags that are raised by the human expert.

Excellent. Yes. In a similar vein, also with a human in the loop, Mirta, you've got an example, which relates to the classification of goods moving through customs. And this is critical to the entire supply chain. What have you deployed?

Yes. So we announced in August that we would be deploying agentic AI across workflows. One of those workflows specifically that we showed at the results was on Slide 21, which was the import customs workflow. So that's exactly what we've done. We've developed a classification assistant that basically does 90% of what is quite a time-consuming and laborious task for a customs broker, and then it leaves that 10%, as you said, the human in the loop, and that's the verification that the code assigned is correct and sufficient.

I happen to know that in the course of doing that, you became an expert on classifying ceramic pepper grinders. Please take us through that example.

Well, we all have one of those in our cupboards, in our pantries. Yes. So it's customs broking classifying goods is not as simple as it sounds. It's not a simple lookup. You do not just look something up in a book and it's right there and the code is so obvious. What it is quite an interpretative task. So with the pepper grinder example, there is a very specific chapter among the 99 chapters and thousands of subchapters that is specifically named ceramic tableware and kitchenware. But that is not where a ceramic pepper grinder goes. It belongs in a far away chapter, Chapter 82, which is tools and implements. And then a very specific subchapter within that, which is handheld mechanical devices under 10 kilos used in the preparation of food. So it's very, very ripe for AI picking because there's a lot of interpretation of what is this good, how it's described, reading all the legal notes and deciding where does it actually belong.

Similar to Andrew's example where Precision is a key success factor, talk us through classification accuracy in the industry as a whole and then what are we achieving with the new agentic AI.

Absolutely. So before I answer that, because I have my mic on, it's my 5 minutes of fame, why is this important? And it is very important because, yes, there are fines. Andrew mentioned, you get something wrong, there's fines for you. Reputational risk. But this extends beyond just a customs broker as an entity. So we have national security at risk if we do not get these codes right. We have trade policies that are affected. We have revenue that's affected, which is very tightly coupled with the codes that we assign. So currently, global reports are that accuracies lie between as low as 20% and as high as 80%.

As low as 20% globally classifying and as high as 80%. Who determines that?

So the 20% reports come from private audits that customers do on their customs brokers. And the 80% is the official customs authorities published reports. The 80% is actually quite a cap. That's a caveat because it is interpretive as to where you're going to classify the goods within the harmonized system. So 80% is sort of a norm because any 2 customs brokers might disagree.

So if the distribution is between 20% and 80%, the midpoint would be 50%. And if we were doing better than that on average, as a country, we might be somewhere between 60% and 70%. And what we're saying now is with agenetic AI built into the workflow, we can be lifting that accuracy level to 80%. Are we seeing that in practice?

Yes. So we obviously take safety when it comes to AI and building a solutions. Seriously, we do monitoring and testing all the time. It's continuous for us. And what we're saying is in our internal evaluations, we're doing around an 80% accuracy mark with external evaluation. So we've actually had this piloted with some lucky customers, and we are reporting 90% accuracy.

Excellent. One thing before I let you go -- no, I'll leave that for later. Zubin, these are examples that are deployed in our software now and there are others. But what are we focusing on for 2026? What opportunities do you see for agentic AI as part of our workflow next year?

Before I answer that, Tudor, I might just point out 2 things. First of all, who thought pepper grinders and document data entry could be so exciting. But second, we said in August that we were going to build agentic AI to solve the most complex process in the supply chain, which was import customs classification. We're sitting here today in December, early December, telling you that's done, and that's available to customers. That's a really remarkable outcome. Mirta, well done. Round of applause.

In terms of what's next. So we have a strong view that -- let me take a step back. For 30 years, what we've done with CargoWise is build automations, automations that drive efficiency and productivity and throughput, and automations that derisk the industry. AI is a massive leap forward that lets us build automations for efficiency and for risk reduction in a way that was simply not possible for us or for anybody before large language models sort of became democratized. So the solutions that both Andrew and Mirta showed you, they were very difficult for us to build without large language models. Large language models is a massive unlocker for us to build these features and deliver them to industry. And we have a very strong view that over the next couple of years, as we release more and more AI agents to the industry, we will have a significant impact on labor in logistics service providers. We think we can remove about possibly more than 50% of labor in logistics service providers through the use of AI agents. And to be very clear, that is the labor that is very likely in a shared service center or a BPO or business processing outsourced center in an offshore, lower labor cost country. The really highly skilled logistics service provider operators that are local to the operations and local to the import and export supply chain, their roles become even more important. Their roles are to verify and to partner with the AI agents to make sure that we're delivering or that they're delivering high-quality outputs. So this is a real game changer in terms of the profitability, the margin and the performance of our customers, our freight forwarders and customs brokers. And this is why I've said a couple of times in the earlier session that we are not just a software vendor. We are a company that is selling success to these companies. We're giving them the recipe that helps them become really efficient, profitable smart operators.

Now in terms of workflow, Tudor, you talked about workflow. In our results in August, we talked about an AI workflow engine, which is up on the screen, and an AI management engine. We have made progress on this. So we are working on releasing more and more agents in our workflow engine.

Let me just explain what workflow is to us. Workflow Engine sits under every single operational job in CargoWise Next. So every forwarding shipment, every stand-alone customs declaration, every warehouse receivable, it has this concept of workflow at the lowest level, at the most fundamentally important level of that job. And workflow is a way for our customers to define standard operating procedures, SOP, about how these really complex jobs need to be completed by humans, step 1, step 2, and-if condition, some logic, a check it then branches off into quite a complex SOP. And those tasks on the SOPs until now have been done entirely by one or more humans. What we have now proven and what we've shown you through what Andrew and Mirta shown you, is that some of those tasks and over time, many of those tasks can and will be assigned to AI agents. So these are very specific agents built by us on top of large language models and AI models that big tech companies in the U.S. have released. So we're able to leverage all of that -- those billions of dollars' worth of investment by big tech companies. We're able to leverage that for cents on the dollar, have processes that can scale agents that can scale up and down infinitely and very, very quickly; agents that work weekends, agents that work 24 hours a day, 7 days a week; agents that can operate much faster than a human can operate; and agents that are much cheaper than a human. This is why we could spend an hour on this session because this is such a powerful game changer for the industry. And as I said, as we roll more of these agents out over the next 2 or 3 years, we believe we will reduce labor by about 50% in the industry, increase productivity, increase accuracy.

Just before we leave the customer productivity part of the discussion, Andrew, Mirta, how much of the work is building the agent and how much of the work is testing the agent and then embedding it in the workflow or in the standard operating process for the operators using CargoWise?

So building the -- just so we're clear, what we are not doing is writing a prompt and sending it to an LLM and calling it an AI solution. So we have really taken the mantra of slower today, faster forever seriously by building the foundations and actually having an architectural design to our agents that is a multi-agentic design. So that has taken us quite a bit. Obviously, once you've done it, it gets a lot faster to then repeat in the future.

Andrew, how much work goes into testing and then building it into CargoWise?

I would say that's probably about 90% of it, just about. Yes. And I mean, as Mirta said, it's not just prompting and you're done. So for the compliance area, you really have to make sure that you're feeding the AI, the right regulations. And so for us, we're using BorderWise. So the compliance AIs backed by BorderWise. And with 2 open, I guess, that sort of base of knowledge will only grow even more.

I think that just calls out that we are well placed to ride the wave that Zubin described because we can use our own data. We build it into the workflow that is used by people all around the world, and we do the testing to make sure that accuracy and precision are high when they're deployed.

I might just add one thing there, Tudor. There's 2 important points to make. The first is that many of you would have used large language models, ChatGPT, Copilot, Gemini, Claude, all these sorts of tools. And there's this well-understood concept when you're using LLM called hallucinations where when you ask a broad question or even a general question, at certain points, the LLM or the AI will not know the exact answer, but will draw connections between pieces of information that it's been trained on that don't really make sense that a human would not normally draw connections between, and it hallucinates, it makes up answers that don't seem logical.

Now it's a very valid question to say, well, aren't we going to have that problem. And the answer is no, we're not going to have that problem because of 2 reasons. The first is that we have such vast data. And as Andrew and Mirta just said, we can test these agentic AI personas that we create against those data sets and tweak them and train them and make them better. But more importantly, when we build these agents -- and to be clear, we're best placed to build them because we have the logistics and the technology expertise. But when we build these agents, we make them very narrow. We make them exceptionally good at one thing and one thing only. We don't try and build something broad. So what both my colleagues showed you here in ComplianceWise and Classification Assistant, it's not one monolithic thing that does everything. It's broken up into a series of steps. And each of those agents or each of those steps knows how to do their one job extremely well. And by building these agents narrow and by giving them guardrails that they operate in, the agents can't hallucinate, they can't go outside those guardrails. So that's a really powerful concept and why we can get to these sort of levels of 90% or 96% accuracy. It's a really important concept. And I think the way to describe it is it's the responsible way to use AI to grow our product.

Good. Shifting now to how we're using AI to make our own development, design development deployment of software more productive. That's a critical thing for our investors. I know in my own teams, Zubin, we've been tracking our progress for a couple of years. Just in the last 6 months, there have been a range of interventions, AI being one of them. We've seen our work item check-ins rise from the long run average of 100 a month to 150 a month and no increase in defects. So more throughput of quality code. Are we seeing that more broadly in the business? Are there other ways in which we're seeing improvements of the use of AI in accelerating the rollout of the operating system for global trade and logistics?

Absolutely. AI and specifically large language models impact probably every single part of our business. The most obvious place is customer service. We've released a chatbot called ACE. I always forget what it stands for. AI, CargoWise -- We'll get the -- So I'll get to that. Sorry. But this chatbot means that the number of incidents or the number of requests that we received is significantly reduced. That's a massive impact for us.

Then in software development, it's a real game changer. Partnering really senior or principal level, very smart professional engineers or any professional really, with a digital twin, an AI agent to work with them, accelerates them sometimes exponentially. In some cases, for really creative work, it isn't the right answer. In fact, it might slow them down. But for a lot of the work we do, such as the rollout of global customers, where we're building customs connectivity to a new country where there's a well-defined spec published by that customs authority, we've done it hundreds of times over, so we have multiple examples. We have our own documentation. That's the exact kind of use case that we can and we are feeding into large language models with all of the content we've built over the years and seeing significant results. So this will be -- this is already causing a productivity improvement at WiseTech. We've been on the AI journey at WiseTech for probably a couple of years, but really accelerated rapidly in the last 6 months. So it's early days in that sense. There is a lot more efficiency within WiseTech to still unlock.

Thanks, Zubin. Mirta, do you want to talk about ACE? You've worked on a chatbot. It ingests our own data and information and makes that available to our customers as well as our staff. Talk us through that one.

Yes. So AI cargo is expert. Basically, CargoWise is a vast piece of software with gazillion -- don't quote me on that -- functionalities. And it is a bit hard to know, especially if you're using a new functionality, a bit hard to know how to use it. ACE is basically embedded into CargoWise Next, into the home screen. You're in your workflow, you get stuck on doing something and you ask as and it will give you an answer, again, backed by the WiseTech Academy content that we have.

What impact have you seen specifically on numbers of queries that we're having to address from our customers.

So it is still early days. ACE is only a baby. He's a month old, but we are aiming -- we're looking at around 20,000 incidents. I call them incidents, the support tickets, where somebody has asked the training question. So we're looking at about 20,000 of those that we currently have a human send a piece of content as an answer to the customer, we're looking at offloading that to ACE. So that is equivalent to about 18,000 -- 18,000? No, it's a bit much, 18 full-time product managers, who, by the way, currently answer these support tickets. So instead of developing product, they're answering support tickets.

And so with ACE working well, that time will go into developing the product and accelerating the throughput. And as our developers work faster, the constraint that we'll face increasingly will be the product teams. So it's a critical support where it matters. Mirta, is our chatbot as multilingual as you are.

No, it speaks way more than 4 languages, actually.

So it can answer in as many languages as -- really.

It's just a perk of the LLMs. We're still going to be working on fine-tuning that, but you'll know that from WiseTech Academy and the languages that -- language themes that you deal with, I'm sure.

Yes. We translate the majority of our content using engines. More than 80% in normal work would be translated by engines before it's reviewed by one of our experts and then committed to a translation memory, so we can reuse it if we've ever translated and reviewed something previously. There are a couple of places where we can't do that successfully, particularly user interfaces. If you've got similar user interfaces, it's very difficult for the models to determine the context and therefore, get the translation right. So we find we're still doing a much bigger portion of those.

And Tudor, you previously talked about how those language translations that used to take 6 months or a year in some cases are now taking 2 to 3 days. I mean that's the extreme of what we can see in terms of productivity.

We love the example. The languages team, as you could imagine, was very nervous when we spoke about AI 1.5 years ago. So we got the team itself to test the models, and they quickly understood that different engines perform better or worse, depending on the language you're going from and to, and the context in which you're doing the translation. So they've become experts in driving the engines and knowing how to review and correct them when they're not good. We thought that we would be ahead of the game, and then we purchased E2open and we now have much more work to translate. So there's massive amount of work to do, and the same team doing a brilliant job of getting through that work.

Zubin, let's wrap up on your thoughts for what excites you most about our prospects in '26?

Look, I'll keep it brief because there's big red clock here that's flashing at us in front of us. Look, this is a really exciting opportunity for us. It is, as I said earlier, it is a leap forward, a massive leap forward in the types of productivity that we can now deliver to logistics service providers and ultimately, to importers and exporters who are the real beneficiary of all of the work that we do. The work that we can do to deliver more efficiency, more throughput, more productivity, more risk reduction is drastically amplified. And you can see that in how fast we are now executing on many of these projects.

For WiseTech itself, as we've just talked about, this will mean that we are a more productive business and a more efficient business. And that's a very important thing for all of us who work here but also for shareholders.

I will say that for the industry, the agentic AI that we roll out is going to really change how logistics service providers operate. And for logistics service providers, freight forwarders and customs brokers, et cetera, who are not using CargoWise and do not have access to the features within the Value Pack, particularly the AI features, they are simply going to be left behind.

Thank you, Zubin. We now have 20 minutes for a tea break, a chance to stretch your legs, use the restrooms, if you need to. Please join me in thanking Andrew, Zubin and Mirta. We'll see you again at 2:30.

[Break]

Welcome back. I hope you enjoyed the snacks and the drinks. So welcome back. And for our next session, we're going to focus on Container Transport Optimization. I'm going to ask our 3 panelists to come up and join us on the stage.

Right. This is Container Transport Optimization. Undoubtedly, one of our biggest initiatives breakthrough products. Today, we are discussing the opportunity, the progress we're making on technical development and then on commercialization. With us for the conversation, we have our Founder and Executive Chair, Richard; our CEO, Zubin; and Michael Toolan who is product portfolio leader of domestic delivery and multimodal shipper platform. I know him as a product portfolio leader. Thank you for joining us.

Michael, please remind us what is Container Transport Optimization.

In all fairness, Tudor, that is a very long title for somebody, and I cook it up all the time myself. All right. So before I explain Container Transport Optimization, it's -- I'd probably need to give you a little bit of background.

The container transport industry is a complex and hugely inefficient space. There are many parties involved with getting your container from A to B, and all of these parties have competing and conflicting interests. They are all trying to optimize and streamline their own business processes using localized thinking. It's these local optimist that are causing the inefficiencies in the broader system. When you think about ocean carriers or, say, marine terminals, these are large organizations that have invested very heavily into expensive infrastructure assets. These businesses are trying to maximize the return on their investment with these assets. If you think about the ocean carriers, they have large vessel fleets. They have extensive fleets of shipping containers. The marine terminals have their dock, their cranes and they're also constrained heavily with real estate space. Empty container parks are also constrained with real estate space.

In many port communities around the world, it is the local transport that acts as the buffer between the competing interests of these large asset-heavy organizations and the demands of the end customer. I think we have a slide here that -- so what we're seeing here on this slide is a typical import shipment. This particular example, the container is landing here in Port Botany in Sydney. And the information on this slide is being powered by our -- the data has come from our development partner in ACFS. So while this seems like a relatively straightforward container import, it's important to note that the container is traveling from the terminal to the transporter yard, from the transporter yard out to the importer, importer back to the yard.

It's a dead leg.

As a dead...

Well, back to the other is a dead leg.

While the containers traveling, yes, there's some dead legs involved there. And then finally on to the empty container park. The point here is that the transporter yard is clearly acting as one of the many buffers in the system between the parties involved. Every time that container enters a yard, the container is being loaded and unloaded from vehicles, creating unnecessary storage and handling. Every time a truck visits a stop, the container in this instance, it's a drop trailer shipment is being unloaded from the vehicle. And to Richard's point, the vehicle then has to travel back to the transporters yard. And that's effectively a dead leg. That's where there is no container or trailer on the back of the vehicle.

What we are doing with Container Transport Optimization is we're looking at these inefficiencies across the entire port community. We're not using localized thinking. We are looking at the system as a whole.

To use theory of constraints terminology, we are looking for the global optimum. Our software with CTO will orchestrate the movements of these containers through the port community in the most cost-efficient and effective manner.

Okay. Just as a little bit of context before we move on to the next slide. This is a typical export. You'll notice that it's almost a mirror image of an import container. So imports and exports suffer from the same inefficiencies.

I just want to say, just to go back to the previous slide just for a second. There are -- in both the import process, there are 7 legs of which 3 are dead legs, and they're all quite long legs. And both in imports and exports, a total of 7 legs, all of them quite long legs. And there is only one container being loaded, being unloaded from an import and there's one container being loaded for an export. So that's what you're seeing in those 2 slides.

Sure. So if we move on to the next slide, it will give a good example of what we're doing with container transport optimization. So from the system, we intend to remove the unnecessary stops at the yard. You'll notice that we've gone from effectively those 7 legs that Richard just spoke about, down to a number of concise legs that bypass the yard, we are compressing the distances between the stops. So the truck is now making multiple stops between parties, very short distances. This is reducing the number and the distance of these dead legs that are traveled.

The other important thing to note here is that we've removed empty container park storage altogether from the equation. This is effectively powered by our first optimization that we spoke about around this time last year, which was our triangulation or container reuse optimization. This is central and pivotal to the power that drives our optimized run sheet that you see on this presentation.

So from this simple example, you get to see the power behind what we're trying to achieve with container transport optimization. But effectively, this is just the beginning. There's a number of optimizations that we want to do. And -- but I'll need to talk about those, I think, at another -- at another Investor Day, sorry.

[indiscernible]

[indiscernible] day, I almost mentioned, yes.

It's quite important to know that we went from the previous slides, which each had 7 legs, and of those 7 legs were very long live legs and very long dead legs. And on this slide, there are a total of 7 legs with a full container being emptied and a full container being packed and returned to the port. So this -- can you keep on that slide? Yes. Thank you. So this, as a function, is doing what the previous 2 slides were doing with 7 legs, of which 4 of them are very short. So 7 -- 14 long legs have become 7 legs of which 4 are very short and 1 trip to the container terminal with a full in and a full out, which is usually not what happens. And at the container park, no return of container no pickup of container.

So we can see that on the next slide, you can see the juxtaposition of these 2 things together. The before is the worst-case scenario, and the after is not the best case scenario that we can deliver, but it is a very substantial advance on what is going on today. We have more to do, as Michael said, we'll do that at another time. But this covers a really deep capability.

If you look down at the bottom, you've got a number of direct cost reductions. And you've also got a number of second and third order benefits as well. I want to take us through those.

Richard, is the opportunity as big as we first thought it was. We were announcing this a year ago is the opportunity as big as we thought it was then.

Just based on current volumes of containers, I can sort of give the maths to explain the opportunity. And this is a piece of thinking that we've been working on. We have the statistics. So it's about 800 million TEU of containers moving through the international supply chain on an annual basis. A TEU was a 20-foot effective unit, so it's not representative of the number of containers, it's a representative of the unit size of the containers. You divide that by about 1.5, and you come up with approximately the number of actual containers to divide by 800 million by 1.5. Of that, about 80% of those containers or a little bit more perhaps, but 80% is a conservative figure, are optimizable. The others are things like flat racks, open tops, tankers and so forth. And whilst they might be optimizable, we're not trying to include those in the model because they're at the extremes. So 80% of that container volume is optimizable.

If you look around the world at the high-volume terminals and ports, about 60% of the world's container traffic passes through very high-volume ports where the optimization opportunity is very large and has an enormous amount of capability to be optimized because optimization in this form requires volume, it requires a significant number of jobs being run on a daily basis, so you can see the optimization.

So the next thing is [indiscernible] so let's go through the math. 800 million TEU. 1.5 -- divided by 1.5, that's about the number of physical containers. About 80% of those containers are optimizable and about 60% of the ports that run those containers by volume, the low-hanging fruit of optimization that we have.

And right now, if you look at Matchbox and you look at Bloom and you look at other optimizers that just did the container reuse, they charge about USD 50 for that reuse. So that would be a -- that's a sort of an arm's length way of thinking about the value of that reuse. You can multiply those out and you can get a revenue number. I can't do that in my head, but it's a very big number. It's huge.

I want to go back, Richard, between the years of 1998 and 2002, we -- the core WiseTech team rearchitected the solution that we were selling at the time to make it global. So for forwarding and customs, we rebuilt the solution. And by 2004, that was in the market and between 2005 and 2009, Roeg and DSV had signed up and rolled out. So it was a massive transformation. Is this for container transport something like what we were doing back then for forwarding and customs?

Yes. I remember between 2002, when we started building the design that we've been working on from 1998 to 2004. I've got a lot of customers telling me that I was -- I lost my marbles and it was crazy and that no one would use this. It's a completely nutty model. And what are you talking about? How can you have a single system for airs, imports and exports and road and rail can't be done. It's impossible. Even though you can show them on the screen and say, No, no, I don't believe it. When we got customers live and in particular, rolling this is a medium-sized global forwarder went live with it and had really impressive performance results massively better than they were getting before. And we were able to show that. And once we're able to show that everybody sort of piled in pretty hard. But it did take people to go, okay, I've got to forget the past, and I've got to really think about the future.

We actually even had a similar thing when we went to STL billing in 2014. We had a lot of people really were up in arms about the billing change and now we don't like this. We want the old way. What are we doing. But we lost almost no customers, and we had a massively improved financial outcome, and we had a much better model because we started on what was a transactional model rather than a seat model. Of course, we've done that again today. So that we are transforming in a number of areas, including the new commercial model. But to answer the question about CTL, this is a fundamental change to the way people think about container transport. And it does require people to understand that it's inevitable that this optimization will happen, but you need partners like ACFS who can think outside of the box and work with us on ameliorating the problems of a transport company making themselves more optimal is that most transport companies today actually make money out of the inefficiencies in the industry. And so container transport company, we're going to make it really efficient, sounds like we're going to make them much less profitable. Of course, that is not true if you take the larger picture and you understand that the optimizations and the yield from those optimizations can be reused and monetized. But that requires a partner that has great partnership values and trust, and it also requires us as a partner to deliver to that partner an additional amount of business to fill up the space that -- the equipment utilization that's been yielded.

I'm going to come back to the commercialization challenge. But before I do, we've said that the logic is compelling and that the opportunity is enormous. So Zubin, there will be competitors eyeing this. What gives us an inside track in competing for this market?

Sure. I think the first thing is I'll reiterate what Richard just said. We have spent really 30 years building complex solutions for really complex problems in freight forwarding and customer brokerage. It would be wrong to think of CTO as just a new module of CargoWise. It is truly could be bigger than CargoWise. That is what this opportunity is. And why I -- to answer your question, Tudor, we have that innovation culture. We have that capability, that curiosity, that challenger mindset, where we have the culture to build solutions to these problems. And in fact, Michael will show you soon that we have built a solution to this problem.

The other part of this is that we have the reach. We have the customers. We have the data. We have through intra, which is part of E2open, we have access to more data than we've had before. Through CargoWise itself, we have access to rich data. We now have the partner with ACFS. So we have a customer that has chosen to be the innovator and to see the big picture here to see how in the long term and even in the short and medium term, how this is such a fantastic opportunity for them. And then, again, as Michael will show you, we have the technology. So we have all of the ingredients here, Tudor, to make this very, very successful.

Thanks, Zubin. Let's go to the technology, Michael. A year ago, we had our first-generation product. We were ready to go. What are the milestones that you've covered in the year since then?

Yes, sure. So the product has continued to evolve. We've got lots of optimizations that we need to do, particularly in order to reach our goal of being that global optima for the port. So the product has definitely continued to evolve. That said, there have been effectively 2 major milestones that we reached. Around this time last year, we were delivering our triangulation optimization. We started with triangulation primarily because of the experience and technology that we had through Matchbox Exchange, but also because, as I spoke to earlier, it is fundamental to some of the things that we're doing, particularly around building run sheet and optimizing the movement of containers through the community.

We built a system which captured the transport bookings of our import and export customers. It fed those into our decision-making algorithms and informed bundles of jobs that we could distribute to a network of transport providers.

When we took that solution to market, we got significant feedback from our transport partners that they didn't have the technical capabilities to perform those bundles of jobs. Given the nature of the industry shaping change that we've just spoken about as well, it would be fair to say that there was some -- there was also some change resistance to it.

A significant amount.

A significant amount, pretty powerful. Consequently, because of that, we fast track the development of our intelligent mobile app solution. The aim of this was to give the drivers the capabilities that they needed in order to perform these complex jobs that we were giving them in these bundles. This actually has the added benefit for the transport is that it removes significant amounts of administrative overhead for their business.

So today, we have a solution that accepts jobs from importers and exporters, goes into our algorithms. And the next time those jobs become visible is on our drivers' mobile app. This is the solution. This solution is ready, and this is effectively what we're implementing at ACFS as we speak.

So that's rapid progress for groundbreaking technology. That's rapid progress in a year. Richard, I would argue that the commercialization is the bigger challenge.

I think the first thing you must do in any industry change like this is you have to have innovators and early adopters take hold of the model and go, I get it, I can do this. Once you can do that, you can show others, the late adopters, the laggards, the people that don't like change, to really look at that and go, oh, okay, I get it now. I guess I better do it, too. So I think it's very important to have a partnership with ACFS.

This is a very strong, privately owned -- it's actually the largest probably owned transport company in Australia. And this is a quote from Arthur, actually.

I think one of the important things here is fundamentally that you have to have a partner to prove that. That's what we had with rolling when we first took the early models of CargoWise live in the world. And I have customers telling me it can't work. I don't believe it. And meanwhile, roll is actually running it. We will get there, but it's kind of noisy when you do these things. However, once we've got a customer here live, we will move immediately to the U.S. West Coast initially where the volumes are 20x the size of Sydney, Melbourne, Brisbane, and where there is a natural urgency to drive costs out of the system. I mean the American market is much more entrepreneurial. It's driven by multiple competing factors. And I think we can -- and we've already got a very, very strong customer base through our acquisition of -- I forgot the name of the [indiscernible], I should. That's -- sorry, guys at Tritium. I shouldn't forget your name and also Bloom. We have a lot of reach in that marketplace, but you do have to have a proof point before you take it to them. A lot of people have been trying to do something with effectively container reuse. And what we're doing is container use is kind of a catalyst for this whole thing, but it's not the solution. It's just a little byproduct of the solution. The fundamental is getting rid of so many parts of the inefficiencies that run across the whole industry. The industry itself, Michael, you might have talked to this a little bit. When you take a job as a transport provider, you are kind of driven by the design of the transport software that exists in the industry to pick up the container, take it admitted to where it's supposed to go drop it off and drive back to the base or drive to the next job empty. And the systems themselves have been built to ingrain that one-on-one delivery model into the system. So even this is our own software that ACFS run, it's not going to do this job. It's going to be replaced by the CTO. CTO is effectively an entire TMS system in itself. I don't know if you want might have probably said it all.

Zubin, anything else that you want to talk about going global.

Yes. Look, before I talk to that, Tudor, I think if you just -- if we flip back to that slide that had the pre-CTO, post-CTO, if we can, please. It's easy to sort of think about, well, okay, this is 1 import, 1 export, a human could sit there and optimize this piece of software or in Excel or something else. But when you think about the volume that is flowing through ACFS or through any other container transport operator and then you think about the fact that these transport operators have more than 1 person doing this scheduling task, there's 2 or 3 or 4 or 5, correct, allocation job. It is impossible to get to the level of system Optima that we can get using algorithms. It is literally impossible when you have that level of volume and you have that many people separately scheduling, you will always end up with a suboptimal solution. So I mean, I brought people back to the slide because I think it's really powerful to see just how important this is and just how revolutionary this is. This is not something that another product can do or someone can do without CargoWise and CTO.

To your point, Tudor, about globalization, Richard talked about U.S. 20x the container volumes. But really, our focus right now is ACFS. Our focus is on implementing with ACFS, implementing the software, training their allocators and their staff dealing with the sort of...

Stopping the allocation. Well, actually stopping the allocators, replacing the allocators with this.

That's right. And dealing with the human change management that comes with such a complex piece of work. It's, I think, reasonable to talk about the fact that we've been talking about CTO for some time, and it's been delayed. It's been delayed because of that inefficiency that Richard and Michael spoke about, that inefficiency that companies monetize. When they drive to the empty container park which no longer exists in this model, and they drive in there, there's a charge that container transport operator pays. They're like...

A couple of hundred dollars per [indiscernible].

A couple hundred in and out. That's right. They add a margin to that and they make profit on that. we are displacing that. So you can understand why this is a challenge. This is a complex piece of work to implement. And just like it took some years for EDI Enterprise and then CargoWise to really roll out and become a global system and the industry to adopt it, this is the same kind of thing. We have to start with ACFS. And our 99.5% of our focus is on making this work really well with ACFS and then having them as an example are to go global.

I might just wonder -- I'm going to get a couple of breadcrumbs to people. If you look at the side-by-side because it's a great thing to have. And you look at the cost reductions below, you want to give some quantum to this. So on the left-hand side, you're seeing 14 legs, most of them quite substantial in terms of distance. And on the right side, you're seeing 7 legs, a good 4 of those 7 -- sorry.

It's my turn to correct, Richard. There's more than 14 legs because the run sheet is in a direct comparison to the import and export that we saw. That was only half of the equation. The run sheet that we've actually introduced there has legs from other jobs as well. Like that's the power behind this system. It's got a number of other jobs that we're pulling in and performing in that optimal manner. So those lines are weigh more than...

So I should say more than 14 legs, most of which are quite long legs, and many of which are dead legs. That's in the worst-case scenario and that most companies can do a little bit better than that with some human optimization. But on the right-hand side, you were dealing with 7 legs, of which 4 are very short and quite optimal. And I don't know what the percentage is, but you can do it as a rule of thumb. It's probably about 30% of the travel cost. And we've removed -- potentially removed at least 1 half full visits to the terminal and 2 in and out of a container park, which they are worth more than $200 each. So the maths of this, which I'm not going to give you in detail, I'm just giving me the bread crumbs is very fundamental. But then you also have second and third order derivative benefits, which are things like CO2 emissions the wear and tear on the vehicle is much lower because it's traveling far shorter distance to do the same work. The wear and tear on roads and the traffic on roads is much lower. And the container storage requirements for the shipping lines, their container fleet turns much more quickly and has a lower requirement for container volume for container fleet. And the containers themselves are better utilized because they're quickly reused. So there's -- this is pretty huge and when you think about how much you can take out of what is a very old world and complex process.

And to the point that we were talking about before, you really can't do this in the head of the best allocator in the world can't envision this. You have to have geographical point connections. You've got to get time delays. You've got buffers involved. You've got all these moving parts. And some of the algorithms here, we're going to keep the secret source way inside the product so that no one else can see it. But it's also very data-driven. We are very data rich these days with both E2open ourselves, CargoWise and BSM and Impact stocks and Amber Road from [indiscernible]. So there's a lot in this. It's a very powerful idea.

Can I just ask you, Zubin, to clear up any lack of clarity there may be about whether or not optimization is live in North America.

Yes. So I know we had some analyst questions that came through over the last month about customers saying that they're using CTO. They are not using CTO. They're using Matchbox Exchange or Aventine, other platforms that we are or bloom that have some level of optimization or triangulation. CTO is a product that is launching with ACFS. They are the partner we're working with, and we are in the throes of that implementation right now.

Really important, I think -- sorry, Michael, really important to point out that the data we're looking at here, maybe this is what you were going to say, Michael, is ACFS data. we are working with ACFS right now in implementation. And this data isn't just prepared for Investor Day. This data is prepared as part of our implementation process that we're undergoing today with ACFS.

It's not what I wanted to point out actually. I was going to point out the difference between CTO and those products that we just mentioned because those products that we just mentioned are looking as in my opening explanation, they're looking for local optimus with inside of singular individual businesses. It's very different to what we're trying to achieve with container optimization, which is where we're looking at the global optimum across the port community. So that's just another very important detail.

Exchange or you look at any of these exchange or reuse models. They get about 5% of containers maximum, which is a significant value to the transport companies because it's all margin. But we're talking about 5%, whereas we think we can get 80% of the containers to be reused. There are some additional optimizations that would have to come in to get past about 40% of containers. But nonetheless, those optimizations we have planned, we've got a lot of sophistication we can do with empty container repositioning with container stacks at the terminals and various other things. There are lots of opportunities here to keep the optimization getting better and better over time. But what you see in front of you is massively powerful as it stands.

So in our session, I think we've gone back to the opportunity. It's massive. We've seen that technical progress is on track and going really well and that our strategy for commercialization is to get it to work really well for ACFS and then let the invisible hand of the competitive markets drive that when we launch it into a much bigger market in the U.S.

Please join me in thanking Richard, Zubin and Michael.

All right. So as this panel exits, we're going to welcome the E2open panel, and Mark's going to be the moderator.

Thank you very much. Hello, everyone. My name is Mark Hall. I'm Chief Acquisition and Integration Officer at WiseTech. I'm also proudly CEO of E2open. That's a role I've held for the last 4 months since we acquired the business.

I'll talk to you a little bit about the progress we're making on the acquisition shortly. But I'd like to introduce our panel here. I'm joined by Pawan Joshi, who's our Chief Strategy Officer at E2open. Pawan has over 20 years' worth of experience and E2open and deep knowledge across the supply chain. I'm also joined here by Adam Henry, who leads our portfolio -- product portfolio leader for supply channel and planning. Adam's got a range of operational experience in past roles that he's had and has been a number of years to open. And also Anthony Hardenburgh, who's joined us over from the U.S. as well. Anthony has been working at WiseTech for the last sort of 5 years on some of our global trade management products and initiatives. In the past, he also had roles at Amber Road as well, which was eventually acquired by E2open. And so over the last 4 months he's been doing a lot of connecting with past colleagues, which has been great.

So first, just an integration and a reminder to the acquisition and why we're so excited about it. One of the key things that E2open brings to us is a significant expansion of our addressable market. For the last 31 years, we've been developing solutions, achieving organic and inorganic growth from a market which is primarily focused on logistics service providers. Over a similar period of time, E2open has been developing solutions largely targeted at beneficial cargo owners. That's the direct importers and exporters of goods, the manufacturers and the brand owners.

So now under one corporate ownership, we have a significant network of hundreds of thousands of connected enterprises, customers, suppliers to customers, carriers to customers, alongside the logistics service provider network that we've built over 31 years, all under one corporate umbrella. During that period of time, the solutions that have been developed are significant and expand our product offering. They both expand and complement things that we've had in the past. Adam will talk a little bit later about supply channel and planning product portfolios, which expand the breadth of products we have to offer. Within global trade management, we also have products which supplement things that we're already working on. And across logistics, we have businesses such as intra and TMS for shipper, which also expand our logistics offerings.

So this isn't just about expanding our addressable market with 1 plus 1 equals 2. This is about much more than that. You'll hear later about how connected the logistics industry and the supply chain industry and networks really are. And across that, we have trillions of dollars of goods moving and cost of logistics that we now have the opportunity to make significant and material impact and difference, too.

It's not just about the building blocks either, the products, the addressable market. It's also about the toolkit. And that's what WiseTech brings. Over the last 31 years, we've developed ways of working, which have helped drive our success across the industry. And we've proven that in the integrations that we've done over the last number of years. If we combine the toolkit, the ways of working, the disciplines to do the hard things, the small things that make a big difference, that's things like focusing on quality over speed, of focusing on standardization versus customization and focusing on doing -- on scaling with content, these are some of the key toolkit items that, combined with the building blocks that we've collated, are going to drive our future success.

Now in terms of the progress we've made to date, as I said, it's been 4 months since we've owned the business. We spent a lot of that time getting to know the business and its people. We've already started an organizational alignment that's really about focusing our resources behind products and becoming a product-led company. We've also made good progress on our cost synergies. We had targets that we announced a market of $50 million of annual run rate synergies that we would achieve by the end of FY '27. And I expect to be very well progressed towards that target at the end of FY '26.

It's not just about cost synergies though. This is really about our growth opportunity. The cost synergies and the things that we're doing now about making our business more efficient and more aligned and positioning it well for growth in the future. That's really what this is about. It's a growth opportunity, not a cost out.

Over the last 4 months, we've confirmed our expectations about the quality of products and customers the E2open has, as we've started to get to know the various product managers and solution consultants and other experts across the business. We've seen that there's a huge range and diversity of talent across the organization, and we're starting to align that with the resources that we already have within the WiseTech Group.

We've also identified, as we expected, a lack of deep level of integration across the businesses that E2open has acquired over the years. And this is a good thing for us. This allows us to integrate things deeply and properly at our own pace rather than have to unpick integrations that other people have done. We've also identified high levels of alignment from both team and customers in what we want to do and what we want to achieve. And that's specifically around being a product-led company and pursuing standardization versus customization.

In many ways, I think the business and the team at E2open have been held back by pressures they've been under over the last number of years, both pressures to grow as the business became quite sales-led and also during the period of the strategic review over the last few years, financially driven. And that focus has really stopped many of the decisions that the team wanted to make actually being made. It's nice, therefore, to be able to lift that weight from the team and really start to unleash the potential the team has.

We also have started to understand the complexity of the supply chain, parts of the businesses in that addressable market that we're less familiar with. Whilst we're doing that, we're starting to identify common problems across that area that our logistics customers also face. That's not only complexity, lack of standardization, but also siloed decision-making, which holds companies back. It means that they're focused on pursuing local optima, not global optima. And that's one of the things that with the portfolio of products that we have, the people we have, the network we have, we can start to change.

We started by setting out our objectives, our strategic objectives. This is really, as I said, to become product-led, is to build products that have features that add real value to our customers. It's about integrating our products to an extent that competitors cannot match. And it's about focusing on delivering network problems, not local silo decision-making.

We're also focusing very much on revenue growth. That's about reducing churn. That's about focusing on recurring software revenue rather than services revenue, and it's about penetrating the network that we have, the extensive network across E2open and across the rest of the CargoWise and WiseTech group.

We're focusing on how we can deliver cost efficiencies. That's about promoting a high-performance culture within the business, really helping grow our talent and importantly, empowering our talent to make decisions and achieve more than they could achieve in the past. It's also about the way we deploy our products, making them easy to onboard, easy to maintain, easy to upgrade and easy to expand. And there's an element which is us using our productivity initiatives that we've had and developed over the 31 years toolkit to make the business perform more effectively and more efficiently.

As I mentioned, we're in the process of reorganizing the business. A lot of that is about moving our valuable resources towards products rather than other areas. Examples of that are our industry expert solution consultants. We're moving from sales-focused roles into product-focused roles to make sure that the products we build are suitable for different industry verticals and the complexities that they have. It's also about moving our professional services engineers from focusing on developing customized solutions to standardize solutions which we can productize and deliver at scale in the future.

We're also looking to flatten our leadership structure. That's not just at the top, that's across the organization. This is really to empower our team to be able to make decisions themselves to do more than they could, make decisions more quickly and therefore, be more effective.

Some of our current focus areas are around customer attrition, which remains higher than we would like. That's an area where we're focusing on ensuring that we're solving the core problems rather than the superficial symptoms that we sometimes see. We're focusing on delivering professional services commitments that have been made prior to our period of ownership that needs to be done, and that's out of the way, but some of those commitments are significant. And we're also starting to look at how we leverage growth opportunities. Many of our large and exciting growth opportunities are in the second and third horizons from what we're currently focused on now. But there's a lot that we can do now, both a plan for the future and also to take advantage of short-term opportunities. To talk a little bit more about the opportunities we have and particularly across the supply chain, I'd like to ask [ Pawan ] to talk a little about his experience, perhaps you could introduce yourself for a minute at [indiscernible] and also how you start you see some of the opportunities?

Absolutely. Thank you, Mark. My journey at e2open started a little over 22 years ago. And every day, it's a privilege to learn from some of the best that are there in the industry, but also work alongside some of the professionals and practitioners that exist at some of our largest customers. They're all the same big and small. But my journey at -- before e2open started in academia where first learning what supply chains were started how to make products, designing products, but then how do actual products get made and delivered into the market.

And through that course of not just learning but also teaching, it became very obvious that the world of supply chain is not just about bringing products and services to market. It's also about understanding the economics behind it. It's also understanding the business behind it. It's also understanding the mathematics behind it and it's also understanding the practicality of change management and things like that, right? That, to me, is all in compressive supply chain. And before this small thing that hit the world happened, if I stood up and said, what do you do? And if I said supply chain, I had to explain to 80% of the people with supply chain was. Fortunately now, you all know what supply chain is. I'm referring to [indiscernible] incase you didn't get the hint.

But this is what the world of supply chain looks like. And we're sitting here very comfortable, right, at 80 degrees pyrite outside. We all are enjoying the air conditioning. We take it for granted. But have you ever thought about the air conditioner that's cooling this thing down? And we have thought about the people that actually installed it, which brand the air conditioning equipment was made by what components we used. When did those components start their journey what components are actually making their journey in terms of getting manufactured so that at some point in time, the equipment here can be serviced so that we can continue to provide the school atmosphere. That's what supply chain is all about. It's not about just how you bring products to market, how do you keep those products going over and over again.

And if you start thinking about the number of people that have actually touched that particular equipment and what is going on in this thing, chances are that about 95% to 99% of those people do not belong to the brand whose air conditioning system we have. That's where supply chain is. It's highly distributed, extremely fragmented and it has got millions and millions of handovers that happen. That is not very different if you imagine yourself receiving a package earlier this day or last week. You audit it online or you audit it at a store from a brand or not from a brand, from a open market -- e-commerce marketplace. That was produced by someone far, far away, transported by somebody else using trucks that belong to someone else and at your doorstep. That's the world of logistics. Somebody else owns a container that we're trying to optimize, somebody else is selling the ship on which to container move, somebody else is moving the truck and it finally arise at our destination. That, in my mind, is the sandbox at to open and White have been operating for the last 25, 30 years.

It's that complexity that we're handling for the people that are delivering products and service to us as end consumers. That's the complexity. That's the challenge, but more importantly, that's the opportunity. You saw some small use cases earlier today around leveraging AI around container transport optimization around some of the other areas. Those are important things. But the most important thing is to look at the problem holistically. And I believe that across the WiseTech Group, we have the opportunity to do that, right? If you move on to the next slide, it begins to summarize that complexity that I just described into nodes through which physical flow of material happens. Each one of those nodes has their own systems, their own ways of making decisions, their own people that oftentimes don't understand the bigger problem. The complete problem more holistic problem.

What does that result in? It results in data that is trapped inside those systems. It results in individuals that are not aware of the broader picture that they have an impact on, right? And that is the problem that we have the ability to solve. Over the last 25, 30 years, both e2open and WiseTech have carefully curated through organic development, and inorganic additions to the portfolio, the capability of the building blocks to solve this problem, right? So if you want to put some method around this complex madness, think about the world in 5 major groups of people that are involved in supply chain. People who make stuff, right, these are the brand owners, people who sell stuff because not all everybody who is making stuff is actually selling them directly to our end consumers. People who move stuff from where it is made to where it needs to be, right? The -- these 3 key stakeholders actually touch -- physically touch parts of their supply chain, either in terms of design or in terms of movement of goods.

We have solutions for that. WiseTech has focused on the movers, Eat opens for the last 25 years is focused on the makers and sellers. But there are 2 other more important stakeholders. One, the group that finances all these operations. We have capabilities in the group that actually address that to the Bolero portfolio. We also have people that are regulated that stuff, the government agencies, and we touched upon some of the core innovations that have happened there, and we have capability for that. So all of a sudden now, if you start putting the global map on the picture that you see on the screen and you start thinking about crossing borders. You start thinking about transportation, you start thinking about manufacturing and you start thinking about today's problem. If you can discover 3, 4 years up in the supply chain and you can solve it today, you won't have that problem tomorrow. So we have the opportunity to actually sit down today and be able to solve tomorrow's problem or day after tomorrow's problem.

We have the opportunity to start looking at this entire network holistically, much like the container transport optimization but at a much broader scale, to start thinking about what if I, as a freight forward had visibility into what's happening at my customer's location. And if the customer was able to share that with me, I can make my decisions more intelligently. That's the promise that we have that's the capability that we're building. And what we've really realized is for us to do that, you need to be able to tap into the underlying systems, which is the network, the foundation that we've built, both as WiseTech and e2open be able to abstract that information out, be able to make decisions holistically and present those decisions back to the people that are actually running the processes. They may be the brand owners, they may be our customers or they may be by customers, customers or customer suppliers or customers, transport service providers or even regulatory agencies and brokers and customs agencies that they rely on. That's the promise that's a challenge. And I think that's what the opportunity we're sitting on.

Yes. And I think you make a good point as well in terms of the -- in the past, when we've been speaking to investors and customers, we've talked about the complexity of the logistics chain. And the previous slide you had on, you saw all the different components. But really when we start to think about the supply chain, but this exists between almost every node of the supply chain. It may or may not cross an international border and that depends on some of the requirements. But fundamentally, that exists all over this diagram.

Absolutely. And I think the interconnectedness, Mark, is very, very important, right? Each node is trying to do its best. But as a collective, you may not be doing the best that you could, right? So if you think about supply chains, they're not as strong as the brand, they're really as strong as the weakest link in that supply chain. That's why it's called the chain, right? And the weakest link is the one that makes a Brexit.

So if I'm moving shipment and my core KPIs, my transportation departments on-time delivery performance, the first thing I'll do is look at every shipment that's running late and to make -- try to make sure that I expedited to get it there a destination on time. Well, in some cases, it may be the wrong decision to make because you might have excess inventory sitting at that destination. Your warehouse might already be full. And the fact that you spend money to expedite it actually resulted in spending more money because now to go across the street and rent more space to move something that got there -- that could have gotten their 2 weeks later or 1, 2 days later and still have space on it. So all of a sudden now, I'm making these suboptimal decisions because I just have one view of the problem.

The exact opposite could be true as well. A shipment that's running on time is perfect. Nobody is doing anything about it. Everybody is happy about it. But guess what, it actually causes a disruption or a line down because that critical component is not there. Why? Because maybe a lot got quarantine because of quality issues and everything that was supposed to be supporting that manufacturing line is no longer available and actually need to expedite it. So that awareness of the bigger picture is really where the opportunity is to start thinking about supply chain holistically.

And the last point I want to make is, look, we are all getting our products today delivered, right? The plan -- the machinery is working, but it is working with a lot of inefficiency. Inefficiency in terms of excess material, inefficiency in terms of a lot of expedites and de expedites and changes and a lot of humans and manual spreadsheets and manual intervention happening. That's the opportunity. The opportunity is how do you actually take all that waste out of the system, the inefficiencies out of the system to optimize the supply chain much more holistically.

I'll ask Adam to comment a little bit later on the cost of some of that. But just before we pass on to Adam Plan. I'm interested in your thoughts about sort of the power of visibility and execution ability because again, that's a topic that we've talked about in the past, in previous years when we've been talking about the logistics chain. But again, that's a single logistics chain we've typically been imagining. When you start to think about our ability to see where your goods are and be able to influence what happens to those goods across something that's more complex like that, then presumably the value -- you can sort see the value is much greater.

Absolutely. I think when we talk about visibility, we should think about visibility in terms of what is really happening, right? That situational awareness is important. And when we think about visibility in the logistics world as where is my stuff. But that visibility also is, if I'm on a production line, am I actually producing the right thing at the right quality. If I'm on my design line, am I producing the right design specs that are producible or not. If I'm on the channel side, selling my products, are my products actually selling through? Or am I just selling to my distributor and the distributor sitting on it to return it back to me in the next quarter, right? Those are all aspects of visibility.

So the question to really ask is a, do we have situational awareness. So what's happening? And once I know that, the question to answer is, okay, so what does it mean to me? The shipment is running on time, what does it mean to me? Well, in the example I gave, it could be a bad thing that it is running on time. It could be a good thing that it is running on time, right? The other aspect of this is once you know what's happening, then what do you do about it, right? So where is my stuff? So what and now what do I do? Now what do you do is earlier you know the more degrees of freedom you have. The earlier you know about 2, 3, 4 years up, the more degrees of freedom you have to plan this out. So if I'm sitting here today and I know that 2 tiers up, I have a semiconductor shortage, right? And as a result, I won't be able to produce cars next quarter or next month. All of a sudden now have a degree of freedom to understand where do I actually get that memory chip that is super critical that goes into my controller that sits on my dash panel without which I can't ship cars out.

I now have 2 months to solve that problem, right? I don't have a line down situation as recoding. That's the opportunity. And it's not just around transportation, which we now have very powerful capabilities with the biggest logistics service provider network from CargoWise WiseTech with the largest brand owner network on the e2open side, tremendous opportunity. But to be able to do that at scale at a global scale across not just one industry, but multiple industries, not just one tier, but multiple clears all the way from how products are made, 3, 4, 5 years up into the supply chain to how they are sold 3 to 5 years down into the supply chain all the way down to us as end consumers.

That, I think, is the potential I strongly feel that we have all the ingredients and the building blocks. Now the question is, how do we actually start putting it all together as a true platform with an underlying network of providers that we can connect that unlock the data that's sitting in the silos of these nodes and be able to really be able to create something that is end-to-end, that is meaningful that really starts to optimize the supply chain at a global level.

Thanks, Ron. And Adam, you've worked in operational supply chain roles. So you've probably got some of the scars from some of these challenges. Maybe you could just introduce yourself initially and then you can start showing us how complicated things really are.

Yes. Sure. Thank you. Actually, if we just move a couple of slides on to one more. Yes. So [ Pawan's ] diagram is very nice, but it's a rather over simple of IV of the world. This is actually the reality of the level of complexity when we talk about these end-to-end supply chains. Before I get into dealing with that complexity, yes, a bit of an introduction for myself. So I've come to WiseTech through the e2open acquisition. I'm just shy of half a decade, 1 month shy of half a decade at the company and have actually come from the presales organization. This is helpful because I'm familiar with some of our largest, most broad deals. At e2open, this means we're selling platform deals already. So the concept of selling a platform as opposed to just selling an individual or discrete solution is something that [indiscernible] very familiar with.

It's my third presales role. Prior to that, in 9 years in total, I've worked for another 2 companies. Again, this is useful because I've had probably around meaningful conversations with well over 150 enterprises covering multiple industry major and micro verticals. This allows me to first understand the nuance of the challenges they face, but also recognize the commonality across them. And again, the platform that -- the combination of the platform, the e2open and WiseTech is going to be offering means that we can deal with so many of those customers support, many of those customers in the challenges that they face because there is that commonality across them. But then, yes, as Mark has said, I did do 15 years in supply chain management operational roles all the way from my first job as a packaging buyer to my final operational role as Head of the Supply Chain Planning Function. So I really have lived breathed and Idea say, suffered through the challenges that our customers and future customers are facing. And yes, you could look at it like that. So Yes, that's very, very true.

I mean -- and this is really important because it's important to understand the things that you face. I have had an argument with a commercial director because he just started running a promotion without checking we have -- if we have the stock available. I have butted heads with the procurement director because she made a cracking deal and bought a year's worth of stock in one go, stuck it in the warehouse. And of course, when you include the cost of storing that total cost of ownership, the benefits are raised in [indiscernible], and I've been a master production schedule, I've sat next to a production line as it's ground to a halt because we are missing a key component, and that's something that you really -- a place you really don't want to be.

Now back to the diagram, not that one, the spider one. Back to that one. So what is this showing? This diagram is showing the flow of material all the way from a Tier 2 supplier right to the end customer. It's showing the fundamental raw material component, the Tier 2, that is moving to the Tier 1. The Tier 1 is converting that into a subassembly. The subassembly is then going to the manufacturer or the brand owners facilities to convert into a finished good. That finished good is then going to their distribution facilities. And then finally, it's going to the customers' distribution facilities for the final consumption by the consumer. So as [ Pawan ] has pointed out, it's inherently multi-tier, it's inherently multi-enterprise, very long lead times when you added up cumulative cumulatively.

But the biggest problem and therefore, the biggest opportunity there is, is that everyone in that chain is buffering against uncertainty for the next stage in that chain. What I mean by this is if you look at the Tier 2 supplier, they are holding extra when we say bottling, we talk specifically about the extra inventory they are holding. So they are holding more stock to account for the demand volatility of the Tier 1 supplier. They don't know what they're going to order. So they're holding stock to account for what they may or may not be what the demand may or may not be. Similarly, on the other side, going up or downstream through the supply chain, the players there are having to buffer for supply volatility. It's not the case that every supplier is going to deliver 100% on time in full. When is something going to arrive, how late is it going to be, how much quantity I'm going to get? These are the questions that are being asked and they are buffering for. So they're having to take into account the supply volatility.

In addition to that, every single little dot that you see on that pretty diagram is a physical movement of a good from one place to the other. There's transit volatility. And whether something takes 3 weeks or 4 weeks to cross the ocean, that is a huge deal. The amount of buffer stock, you have to hold an extra week's worth 7 days of stock that you have to hold because something may be a week later than you planned, that is just driving enormous amounts of cost, enormous amounts of waste into the business. And that is where there's a huge opportunity. If we can provide, as Pawan has alluded to, the visibility, the connections, the end-to-end supply chain planning, management and execution functions, that is where the opportunity is because what we've got to do for these customers is take out the risk of doing that. If you think about it can be a food and beverage manufacturer making sandwiches, they cannot afford to not meet the service levels of their customers. They all receive heavy penalties. It's actually cheaper to make a bit more and then throw it away. We all know how that works.

In the automotive industry, if you stop a production line, you're talking millions of dollars per hour, millions of dollars per hour, and it's not just the automotive manufacturers that are buffering for that. They're going to hold the Tier 1s and the Tier 2s accountable if they do stop production lines, obviously, that means that everyone is very afraid that they don't to happen. So that's the opportunity when you look at the combination of e2open WiseTech together, the breadth, the depth and the capabilities that we offer can really deliver some results. And Again, if you think about just taking out -- if we took out for a major manufacturing enterprise, just one day of inventory, the benefits on the profit and loss statement, the it's huge in and of itself. Then you take into account the reduction in the cost of holding that inventory, the reduced exposure of excess and obsolete stock, the reduced risk of having to throw away short expiry inventory. The cost you can unlock are just exponential. So if we move on to the next slide, this is what we can -- with our capability footprint, this is what we can offer our customers.

So a lot on here, but let me take you through it. If you look on the right-hand side of the diagram, what you're seeing is the channel side of the applications. So again, when a brand owner or a manufacturer is making something and selling it, they're selling it into the channel. So local example, brand owner is selling it to Woolworths. So they know what they're moving into the channel. What they don't know typically is what is actually moving off the shelf from Woolworths. What is actually selling and when is it selling? And that being able to have visibility of the consumer demand means that you have a much better chance of predicting what that's going to be. And that is a really unique capability for e2open and now for WiseTech is that not many platform providers to have that capability to see into the channel in that way. When you look on the left-hand side of the screen, going back to this nature of the multi-tier network.

But before we even get there, and I'm not going to steal my colleague, Anthony's piece around restricted party screening and the value that, that brings into the platform. But yes, when you -- whether you're selecting suppliers or whether you have suppliers that the circumstances have changed, for example, the wall with Russia and Ukraine as an example, you want to make sure that you're able to deal with -- you should be working with those suppliers, you don't want to fall foul of any compliance issues. In addition to that, of course, you all know the volatility of the current climate around tariffs, so having a good understanding of the constantly changing total landed cost is really, really important because you consistently want to optimize your supply chain and make sure that you're optimizing your supplier footprint and who you're working with.

And then it's about you don't want to be in the situation you're just throwing a purchase order over the fence and hoping that your supply can make it on time, in full at the right quality. It's much better to be connected not just to that Tier 1 supply, but from Tier 1 to Tier 2 to Tier N, collaborate over those requirements, work and to see well in advance if there's any misalignment between what you're demanding of your Tier 1s, what the demanding their Tier 2s, and that information will then feed back so you know you can get very advanced warning if you have to make a change.

Adam, it's easy to kind of assume these days when we're used to clicking something online, it arrives a week or so later or days later, but everything is very sophisticated. Like in your experience, like what are those supply chains like for retailers, distributors, manufacturers?

Yes, you'd be surprised, even some of the best companies in the world in terms of the recognizing all names that you'd all be familiar with, everyone would be surprised by the lack of sophistication in the system they're using, the heavier reliance on spreadsheets, the manual effort and manual labor required to get those things working. They do as Pawan said, they get things working. These supply chains do work but they're not working anywhere near the level of efficiency and sophistication that we would expect to see.

And Pawan, one of the things that we've seen in the past in talking to customers and others is there is a tendency for a lot of siloed decision-making and there's pressure on individuals with different sort of personas with the organizations that should be working together for the interest of the organization, but actually their interest don't always fully align.

Absolutely. And I think this is really how we've kind of broken down work over the last 50, 60, 70 years of building products. We have created specialists, and we've not created a layer that actually ties it together. And if you start looking at the pyramid of decision-making, sometimes you have to get to the executive level, the C level or sometimes even all the way up to tie these things together. If you're a Chief Procurement Officer, who's trying to figure out the cheapest deal you can get on components. You have your head of transportation, that's trying to figure out how to best negotiate your transportation contracts. Your production line guy who's trying to make sure that the production lines and high-value assets are running at the highest asset utilization.

And all of a sudden now, you're trying to make decisions that are very much in your own silos and you have conflicting KPIs, like the example I gave you on-time delivery performance being a KPI where something running late is being expedited and are spending more money to expedite it and then spending more money to store it, right, not to mention the fact that you don't even need it to begin with. So those are all conflicting KPIs, and that's where the potential is. I mean you look at some of the companies that are looking to transform themselves, they're really trying to look at these departmental silos and enterprise silos. I mean, we just talked about the procurement department, that's the same with my using a contract manufacturer to produce something behind the contract manufacturer of my Tier 1 suppliers and my Tier 2 suppliers and my Tier 3 suppliers, those are all trying to optimize their own business. right? And we now have the opportunity to look at these functional silos and enterprise silos and really tie them together with a digital thread or a digital fabric, right? That's the technology. That's the platform we're enabling.

And the idea really here is that thread needs data, which we are trying to unlock using our network. And that thread, once you have the data needs to have decision making, which is all the applications we are building and have. And we're trying to now automate that with use of pretty advanced technologies that AI and other things can enable now. And the most important thing is really to bring the humans back into the loop that are able to look at that problem holistically, not look at my shipment and say expedite it. That, I think, kind of summarizes on this particular slide. There are a lot of stakeholders that are buying software. They want to buy software for their own thingBut if you can show them the promise that if you buy for this particular thing, it solves your problem and the next person upstream from you or downstream from you next department buys it and it does enable on the same platform, powered by the same set of networks that is really what you need, and that's the power.

And the assumption that we're probably all thinking about as well as you're talking as well is that within a business, all of our operations are the same and standard and that they're not particularly growing. But we also see from customers as well that a lot of our customers are growing quickly. I'd say that they might be growing because they're growing organically. They might be growing because they've acquired something, which has different ways of working, different systems.

Absolutely. And I think that's really the real-world example that we live in, right? That's the reality well. Nothing is uniform. They're divisions within companies and within the divisions are different departments, and that's really the real world. And our promise really from a technology standpoint is to be able to provide a platform on which they can slowly increase their level of efficiency and then continue to drive more waste up in the system.

Okay. We're talking of real-world things. One of the real world things we have to deal with is regulation, duties, taxes, complexities. It's Anthony, maybe you could just give us a little -- again, a little bit of background, but also a bit of insight as to what global trade management is and why we have it.

Yes. Well, thank you, Mark. As Mark mentioned earlier, I'm [indiscernible] been with WiseTech for about 5 years now. I joined WiseTech, after selling a company I cofounded Cypress Global Solutions, which was a global trade management company. My path is a little different. I began my 31-year journey actually as a government official at the U.S. Department of Commerce. And it was there that I really could see what the impact of the regulatory environment for exporters and importers was having. And so a lot of those policies originate from not only commerce but customs and many of these same equivalent agencies around the world. But it presented quite a bit of complexity for the exporters and importers.

And so after about 6 years at the Department of Commerce, since I helped create a lot of this complexity, I decided to jump on the other side and try to help solve some of these issues. So my first venture was with [ from2.com ]. We developed one of the first landed cost solutions. And the challenge that we were trying to solve there was providing, particularly for e-commerce customers visibility into the total cost of cross-border trade for a particular bid. That total cost included the duty taxes and fees that you just mentioned. In 2005, I joined Vastera, I bring that up because Vastera was an import/export software solution company that also engaged in managed services and consulting.

Two key things happened with Vastera. First and foremost, you've heard us say global trade management. We had a successful IPO with tester and we needed to have a new sector the differentiated ourselves from transportation management and supply chain management. And so that's where we coin term global trade management. The second key event that took place while I was at Vastera was 9/11. The terrorist attacks that took place in New York and the Pentagon forever changed the way that the governments around the world looked at global trade, the supply chain and the financial sector. There was a lot more interest and keen interest on understanding who you are doing business with. As Mark mentioned, I joined Amber Road in 2007 as a member of the senior management team. company. The real focus with Amber Road was to be software only. I mentioned Best Air had been in the managed services business. I was more interested in software, and I want it to be software focused. The second part was it needed to be global. You have to import export solutions, but you needed to be global in your scope and coverage. And then the third was we wanted to sell the software as a subscription.

So as Mark mentioned, I think I've come full circle here. Being part of this portfolio, the GTM portfolio leader and kind of summarizing the background, I think I come to both the government perspective as well as the private sector experience. So what is global trade management? The easiest way to describe Global trade management is if I put my government hat back on. And if you start with the exports, who are you doing business with? Where are you doing business with? What is my product and can it be exported? I think you heard earlier during the AI session, the term dual-use came up. Not only what is the product, but what is the ultimate end use and that matters because the laptop that you guys are using today that is helping you with your business and you're taking notes can also get a missile into a building. I don't mean to be overly dramatic about that. But governments around the world when they're looking from an export standpoint, they want to know what is the ultimate end use of those goods on the import side.

Again, the governments want to know, hey, who are you doing business with? Where are my products coming in from what can my product be imported and what are the government requirements around that. So for example, if you had a children's toy that had lead paint on it, that would be something that would be prohibitive from coming into most countries. But you need to identify that, and that's done through the government regulations, and that's done through association on the product and classification, and we'll get to that in a minute. And then most importantly, the governments around the world from an import standpoint, they want their money. That's where the duty taxes and fees come in. They want that tariff revenue, and you need to be able to present that. Next slide.

So what does this mean? Well, from an automation standpoint, what it means is the building blocks are, first and foremost, after 9/11 that I mentioned literally hundreds of lists have been published around the world with thousands of names on there. And so you need to have an automated solution to help you with that, and that's where restricted party screening comes in. You heard [ Zubin and Marta ] talk about AI classification. AI classification is to help you ultimately identify what your product is. That laptop, the government called a portable automatic data processing that's not how we talk. And so the trade community wants to know, hey, I want the note classification for my product. And then once you have that classification, then you can make the determination processes and all of this is fully automated. The duty tax and fee that I mentioned earlier, that's a landed cost.

Ultimately, what you need to be able to do is have your good, understand the destination and the origin caring, understand whether or not a free trade agreement may apply, but at the end of the day, it comes down to what is that duty. And then most importantly is the documentation behind it. Much like when you file your taxes, you have to do a document. The government also says the same thing on exports and imports. They want you to report to them that you've adhere to the regulatory environment that they've set out for the exports and those imports. And then within the GTM solution, and this is most important for the BCOs is to have an audit trail of that because if the government shows up and knocks on your door, which you hope it never does. But if they do, you want to make sure that you have an audit trail that delineates all of the decision-making processes along the way, and that's what we provide.

Anthony, that's important as well for the potential and risk around penalties and fines, but also to continue to do business.

It is. The -- there's a my former agency that I work with, the Bureau of Industry and Security as part of commerce and they put out a publication that says, do not let this happen to you? And what it is, it's a book that identifies all of the different companies gene, if you're still out there from sales, that's a sales lead document for you. But it publishes all of the companies and entities that have been fined or penalized, lost export privileges and in some cases, jail time if you're intentionally trying to do it.

And one of the things I think it's worth mentioning here. In my time at government, we often think of the government here to get you. That's not the case. In most instances, what they want is to help promote those exports. They want you to do it legally, they want you to adhere to those rules. They want you to have global trade management software. They want to automate it and effective. But if you do have a mistake, Oftentimes, what will happen if it's an unintentional mistake is they'll ask you to go take that fine, take that penalty and then go put in a proper export management plan or a proper import management plan.

And this year has been a year where tariffs have been front and center for a lot of the time. Talk to the audience a little bit about how that's impacted the business as a whole need to open business and how that complexity impacts us and our customers.

So I -- Mark mentioned, I'm from the U.S. I live right outside of Washington, D.C. I don't claim it. My house is about 7 miles from the White House. So you guys may have heard a little bit about some trade policies that have been taking place with the tariff and the regulatory environment, but specifically putting up what we would call tariff barriers. And those tariff barriers, if you were to go back, Mark 4 years ago or longer. When people -- when businesses were making their sourcing decision, typically, what they were looking at is what is the political stability of the location, the geographical location that I'm sourcing from? What is the infrastructure? Do the people -- this population have the skill sets necessary to manufacture and produce. And is the infrastructure there from a transport standpoint.

Fast forward to hit Mark's point and what's been going on in the news, the top thing that folks are looking at is what is that tariff simplification because we're not talking small numbers here now, right? We're seeing tariffs that are then there's a little argument spat and then all of a sudden, they become 50%. And then there's another little argument in statin then it becomes 100%, 150%. And so these are significant numbers, and it's bringing a lot more visibility to this. The beauty is that this is something that we automate and we provide that to those BCOs.

And part of the heart of that is what we refer to as global knowledge. And maybe just explain to people what we actually mean when we refer to global knowledge.

Absolutely. Within the global trade management software, we support over 200 countries. So think about that in terms of jurisdictions. It's roughly 3,500 plus government agencies that you're dealing with around the world. By the way, most of them are not English speaking. So you have to deal with that native language. I mentioned that restricted party screening earlier and the hundreds of lists that are there. we produce roughly $73 million, a little bit more, it will be more this year, updates on an annual basis. So it's very complex, and we call that global knowledge.

All that maintenance of that content and those rules of those regulations, that's what we're referring to when we say global knowledge. It is a huge competitive advantage in the marketplace. So something we're super proud of. It's something that we have a very large dedicated team of trade professionals that have not only the international trade in terms of a regulatory background, but also the language skill sets to be able to interpret those rules and regulations. It's a -- we have an ISO 9001 certified process. So every update that comes through goes through this process and has a check in balance along with audits, both internal and external. So it's something that we're super proud of. It gives -- again, it gives us a competitive differentiator, and it really is the heart and soul of the global trade management software.

All right. Thank you Thanks, Anthony. Thanks, Adam and Pawan. Message to leave you with is that we're progressing well with the integration. We've assembled the component parts we need and we have the toolkit to put them together to make a transformative change to our business and the industries in which we serve. And hopefully, through the discussion today, you've seen how interconnected and complex they are, and therefore, how valuable the opportunity is. I think we're moving on to a Q&A session now.

Thanks to e2open team. The really exciting thing, I think, with e2open what it means in the hands of WiseTech. And when you think about what our colleague has just talked about, they talked about how we really focus on logistics. We do that really well within the CargoWise product suite. What e2open brings us is the self-filers is really large importers and exporters who can add so much more value in where we can add value to them. And then, of course, what Adam took you through was the deep focus they have on supply chain management. And in WiseTech's hands together, that really transforms the ecosystem.

So we are now on Q&A. I will ask that before you ask questions, please just state your name and where you're from. [Operator Instructions].

It's Roger Samuel here from Jefferies. I've got 2 questions. First one is on e2open and based on the features that you listed on your new value pack, it looks like customers will have access to some features from e2open, albeit it's express or trial emergence of the products. So do you think you have any cross-selling between your existing boarding customers and e2open and generate different revenue synergies? Second question is on CTO. What's the actual revenue model of CTO because it looks like from the new commercial model, you are charging per container optimized, and this time last year, you mentioned about potentially taking a cut of the direct cost savings? That your customers can realize. So yes, and maybe just for the record, is CTO product is actually available out there currently?

Okay. Thank you for the questions. First part of your question. So yes, in the CargoWise value pack feature list that you've seen online, there are a number of e2open modules and products listed on trials or single user licenses. But you have to remember something we talked about in the commercial model session. A lot of the benefit that we're including in the CargoWise value pack is for the direct benefit of the importer and exporter. So those e2open products that we have included in the value pack are for the value of the import or exports for their benefit. They could choose to use those features on those modules and those products on a trial basis or a single user license basis.

To your wider point about cross-selling opportunities, what Mark and the team talked about and what we've spoken about previously is that Horizon 1 is really about cost synergies and integrating the business. There are many revenue and product synergies here. This is part of the rationale of buying e2open. But that's not a Horizon 1 thing and not something that we have spent much time talking about with the market for FY '26. That's a medium-term and longer-term proposition. We have been very impressed to see the quality of their products, the reach of their products and the depth of their products. And we can start to now see how these product pillars fit together and how it builds the future WiseTech product strategy.

On CTO. So yes, you're right on the CargoWise value pack price list. There is a line item there. But that line item is for freight forwarders that would use the option of booking their transport movement through CTO. That's not to the charge that we'll be charging a company like ACFS. That's still in commercial discussions. To your second part of the CTO question, yes, the product is ready, and Michael took you through that product, but it's a product that we are implementing with ACFS only, and we will implement with ACFS, prove the model, iterate the model like we do with everything else we do and then look at rolling that out.

Front over here.

It's Kane from Goldman. Maybe just coming back to the commercial model as well. If I read a bit of the feedback online, it does seem quite a bit of angst around how it's been handled some of the implied price rises they're talking to sort of north -- just help us reconcile that, [indiscernible] how that reconciles with the comments around being roughly the same. And as some of the larger forwarders come off, who probably have the biggest discounts I mean, are they going to be wearing a much bigger price rise? So just trying to understand this from a financial perspective.

I might talk to that and then throw it to you, Gene, for your thoughts as well. The first really important point, Kane, is that for all of our customers, if they choose to recover the cost from the importer or exporter which is the model that we think the industry should adopt and will adopt, then for all customers, the cargo as value pack is a really strong financial proposition. Let alone the 200 beaches, let alone the AI, let alone all the other benefits that we're delivering as part of that package.

Yes, it's noisy, and we knew it would be noisy. These are big changes we're making, and this is what we've done well for 30 years. We have made disruptive change. We know that there will be a human change management process in this. And we know that any change is complex. It is wrong to say that -- let's assume no customer recover the cost. It is wrong to say that all customers see a price rise. There are some customers that see the same price they've always paid. There are some customers that see a small price rise, there are some that might see a larger price rise. It really depends on their usage patterns and how they've been using CargoWise to date and how they will use CargoWise is going forward.

But you're absolutely right. There is noise on LinkedIn. There is noise on red. We've seen it some interesting comments there. But we know that this will take time to be adopted. The fact that we have 95% of our customers on this model and that we've communicated now 4 times since October 31 formally with all of those customers and provided more and more content each time to take them on that journey and to give them the required information means that we are very confident that this will be successful in the market.

Gene, you talk to customers? Anything you want to add?

It's changed. So day 1 new commercial model, seeing line items on the invoice. This is a new way of licensing cargo wise. The question is, can I recover this charge from all my customers on day and having that discussion, this is December 3. So we're starting to have those discussions.

And just the conversation I had this morning is I don't know if I can recover this from all my customers on day 1. Maybe half of them, and I'm asking them why that's the issue. And I've got some large complex customers. So then in that case, it's -- well, then you're recovering half your cost of CargoWise, which Zubin was alluding to. It's recovery cost. And then the discussion goes, well, other than maybe my top tier of my customers, I can recover this cost based on that. So then the question is you're recovering 75% of your cost of CargoWise, it will get to 100%, but that's probably the day 1 friction point.

Thanks, Gene. Richard, do you want to add something?

A couple of ways of looking at this. The first is that in the value pack and for the last year, we've been building a lot of componentry and certainly because of the Bethoven acquisition, we've got a lot of value that is directly consumable by or to the benefit of the importer and exporter. And that is now in the value pack. And one initial problem is our customers are thinking about what's in it for me. They really have to be starting to turn to watching it for my customer because that's actually where they really create value anyway. That's the first thing.

The second thing is that I don't actually agree that it's half recoverable or 75% recover book. This industry has for more than decades had various infrastructure costs and fundamental costs put to the forward to be passed to the importer and exporter. And they are unconditional. You've got to pay the gate fees at the terminals. In 2019, when we bought container chain, the gate fee at the terminals and at the container parks was $8. Today, those charges are around $230, that's 5 years later. Now if you think that they couldn't pass those on, they were provided by a third party and said, this is what we've been charging you. And they didn't even blip. They just passed it to their customers and they got paid. Detention fees get passed to the customers every day, and they have no discretion. Storage fees, get passed to customers every day and they have no discretion.

I understand that they don't like it because it's a change of model, but the model is valuable to the importers and exporters. And what forward is and customers brokers do is create value for those importers and exporters and pass that value on. If you didn't have a highly automated system like CargoWise, their labor costs would be orders of magnitude larger than it is today. And frankly, it's ridiculous idea to say that I won't put it on my invoice because I don't like the change. The change is actually beneficial to them more than anything else, and it's very beneficial to the importers and exporters. Now we have to have this discussion. It's going to take time. It's going to have some people saying, "I don't like it. That's already happened". We've also had people saying, I give a quite -- I'll paraphrase a customer said please withdraw my request to remove it from my billing model. I love it. I looked at over the weekend, I read all the documents, I realized this is a fantastic Christmas gift from WiseTech. Thank you so much for doing it.

Now what they did was read the documents. And I can guarantee you that a lot of people haven't read the documents. We communicated for some months before that the model was coming. We communicated very strongly across October and November, and we're continuing to update and give a lot more content to help people. And we will have to have some difficult conversations with people who don't want to listen or don't get it or haven't read the documents or don't think that the model is right. But this is a model which the rest of the industry already uses, it's just that software providers don't use it. This is the way to do it. The people who are receiving the most value should be the people paying for most of the license. That's what we're doing. And I'll remind you, the charges that we're talking about range from in the mid USD 2 up to about USD 19. So again, likely the very smallest charge on the import or exporters invoice.

Zubin, we have a question from Andrew Giles, Macquarie. You mentioned the residual 5% of customers are on term-based deals with historically attractive pricing what percentage of volumes are represented by these larger customers? And how are you managing churn risks with a larger effective price rise for these customers. It sounds like they're weighing upside from products they elected not to consume under STL with the certainty of further price increases in the new revenue model? What are the puts and takes to get the FY '26 sales?

Thank you, Andrew. That was a long question. Let me just try and break that down. The first thing is, again, we need to get away from this idea that this is a price rise for logistics service providers. It is not a price for is for logistics service providers. It is a massive price reduction, if not price eradication of freight forwarders and custom brokers.

The point about not using certain features, I think that was part of the question, it really goes to what Gene was talking about in our CargoWise value pack session, where there are a number of features that we know are not being used by many freight borders and custom brokers. But we know that when they are used in those few customers that do use them, it does drive a marked improvement in productivity or in risk reduction. So the argument that they're not using them is actually an argument for the CargoWise value packs because now they can and they will and they should use them and become more effective businesses. We don't disclose the volume from different customer segments. And you're right, Andrew, in saying that there are commitment agreements and other agreements that are longer term, which is why that 5% have not moved. But we also know that some of the largest freight forwarders and LSPs logistics service providers in the world are the ones that will benefit most from these features. They are the ones that will benefit the most from the AI and the Agentic solutions that we're releasing because these are the really sophisticated operators that we'll be able to leverage all of these features that we've invested nearly $1 billion in over the last 5 years. Anyone want to add anything?

One of the ways of looking at this is to think of labor cost because ultimately, our goal here is to dramatically -- from now dramatically further reduce labor. Now we're saying more than 50% of the labor within 2 years. I think that's one of those goals that is important to have. But when you look at this, [ Chris Charlton ] and I were chatting with some other investors just a minute ago. At UPS, they had something like 18 classifiers, classifying customers entries to import all day, every day and then one customer's broker who would review the classifications and press the button. Now in the agentic model, that 18 classifiers don't exist. There's the one customer broker still exists, but the 10 classifiers go away. So that's a bit better than 50%. And across all of the workflows, we think we can get similar goals out of it.

Now we're talking about between $2 and $20, but we're moving hundreds of dollars worth of labor on average already, and we're going to be reducing substantially more. So I think this is really -- the strange question is we start thinking about cost but the cost of the software is the smallest of the costs across the supply chain. And the labor cost is one of the largest costs across the supply chain. If we take out the direct cost of goods, that is the cost of the container, the cost of the truck and so forth. And you just look at the -- in the overheads part of the P&L for our customers, 70% of that cost is labor. Reducing that is a massive improvement in the EBITDA margin and in the bottom line profit. And that's what we're really focused on here. Caroline?

Yes. I might just add 2 points here. So I think the first one is, I think, Andrew, you asked a question about churn risk for the largest customers. I don't think there's actually any churn risk for the largest customers, not in the context of the new commercial model. What the new commercial model gives them is an opportunity to come on to the new commercial model.

At this stage, we've not done anything to have them move across. We've moved across the ones that have flexibility in their contract to do so. But the larger ones, obviously, still have a fixed term contract. So it's really just an opportunity for them to come across. And so I'd say that there isn't really any churn risk there. And in relation to the large customers and when they do come across, we know from the previous transitions that they're usually the ones that take the longest, right? They're sort of much more sophisticated. There's more sort of levels of review and rigor that need to go through, and we expect the same here. The difference is, though, with each large customer that comes across, there is a significant contribution to revenue. And as we get each one, that's what's going to help us drive that long-term revenue growth.

Some are in the front, I think I'm being instructed.

Garry Sherriff from RBC. Two questions, one on the commercial model and the other one on with the commercial model, there seems to be a marked shift in terms of historically how you've transitioned, how it was optional, certainly back in August. It was an optional what you call it, customers didn't have to mandatorily or mandatorily move across. It sounds like that's absolutely changed for 95% of customers. It is now mandatory. Just trying to figure out that the shift -- why that's changed. Certainly, that's not what you had previously done and certainly what you previously said.

I would challenge that slightly, Gary. I'd say that for every commercial model change that we've made in the past, it is a mandatory move across. We don't allow people to flick back to an old model or stay indefinitely on an old model. We are transitioning our commercial model. The same thing has happened here. There was never a point in August or prior where we said customers had a choice that they could choose to move across or stay on the old STL model. We have realized that because of the increase in power and ability of AI, this was something we had to deal with urgently. And we have accelerated that rollout, but because we see the value to industry. We see that the AI capability and the 200 features and the cost recovery option, if that's an option is an important thing to get to industry. So it was never an option. It might have been that in August, we said we would roll out at a different pace or a different plan, but we always had an intent to roll out to the levels that we have rolled out to. Zubin?

I can just give you a bit more of what the option is there are options in the accounting treatment for how you deal with the charge. That is an option. There's an option if the customer wishes that they can manually remove the charge from the invoice. We strongly discourage that. So it's their option in both the accounting treatment point of view and in whether they want to charge to grow forward to their customers. But we're talking about something which is very largely to their benefit to accept it in the default configuration that we've given it to them.

That doesn't mean they have to do that. It doesn't mean they have to account for it that way. I've seen some it's quite strange comments about revenue recognition, GAAP accounting and so forth. None of which are correct, but there is this understanding being developed. And we're starting to get through it now. We're starting to see customers rereading the document or reading it for the first time and realizing that this, yes, it's optional, but why would you do that?

Yes. So I think that's exactly the summary. The commercial model is not an option. How they choose to recover or not recover is an option.

AI. I think -- I noticed in the customer letter that have gone out, not quite clear exactly what functionality or feature is currently available, and this is it will be released over time. Maybe just in terms of the product road map for AI, what is currently available right now? What's going to be released over time?

Sure. So AI classification assistant, which is what Meritor took us through, which is, as I said before, one of the most complex processes in the supply chain, import classification. What Andrew took us through, which is compliance wise, and of course, also what Maree took us through, which is the ACE chatbot, which is really more than just a customer service check bot. It's a way of talking to cargo-wise in English and instructing CargoWise in English. Those 3 modules are available today. And the first 2 compliance lies and classification assistance are built using agentic AI compliance-wise particularly uses the workflow model of delivering that. So those are available as of 2 days ago to customers. and they were available to some customers prior to that on a trial or early access agreement basis.

Now the road map going forward is very much about accelerating the rollout of more agents to do more types of logistics work. things like dangerous goods classifications, filling in an airway bill, invoicing a customer, communicating with an importer or exporter because the documentation that they received didn't have a signature or was missing a piece of data or a scrambled asking for further details about the type of the metal rod, for example, those sorts of agents are being worked on now, and they'll be rolled out progressively over the next few years.

Maybe let's go to this side of the room. I'm not sure who's directing traffic.

It's Bob from JPMorgan. Just a couple of questions. One, just on the value pack. I guess, how did you guys actually construct the pricing for the value pack, especially given the rollout of all these new modules and tools that your customers have before? Are you sort of giving them introductory pricing? And then as your customers with you saw by 50%. Do you have an opportunity to recover more of that to value that you're delivering?

Look, I'll ask Richard to talk to the actual current pricing. But just to the second part of your question, I'll say that the pricing we put up on the website is the CargoWise value pack pricing. There's no intention to change that tomorrow or next month or in 6 months' time. Naturally, as we deliver more value in the value pack. And that means as we invest more in R&D, which we're constantly doing and there's more value to importers and exporters and there's more value to logistics service providers it would be reasonable for us in the long term to capture some of that value and some of that investment. So yes, there is an opportunity in the future. Right now, the CargoWise value pack pricing we put out is the pricing that we will stick with for some time. To the current pricing, Richard.

Well, the first thing I think if you ever bought sausages or a pie, you should never ask the butcher how you made the you might be shocked. So the ingredients, we started with -- obviously, there's a financial model behind everything we do. There are multiple inputs to that, and we do a lot of modeling. And we try to find a balance between the expectation of that part of the market, what the value creation is in the software and who benefits from that. That's why we're very clearly of the view that this belongs to the importers and exporters and not to the forwarders.

As Zubin sort of pointed out, and I think it's very clear that if you're a high-volume forwarder and you pass the charge, like you pass so many charges to the importers and exporters, you end up with a completely free software, completely without charge. Now it depends on volume, it depends on the number of jobs per use -- per person out of the business. But ultimately, that is a very, very strong outcome. So yes, pricing is somewhat of a magic thing. Just -- there's no one way of doing it. We don't really look at competitors or compare prices of other accrualent products. The very little in this space to really compare to.

So what we look to is what is the supply chain costs for many other things. And I have talked about this many times to investors over the last year. I've said we expect that the price of the value pack is something the same as [indiscernible] the cost of putting a little plastic seal on a container at the export point where the container is closed. It's something either that price or a lot lower than that price. And every other part of the supply chain and every other charge is more than that. We are, by far and away, such a tiny part of the landed cost of a good or even a tiny part of just the full set of logistics charges and yet we remove most of the complex labor in doing those services.

Zubin, we've got a question online from Michael Holland. On CTO, are you able to indicate time frames for some milestones milestone 1 ACFS initial pilot into routine operation milestone 2, first launch with a West Coast customer. You've made clear the magnitude of the opportunity. However, I would like some more around time frame is less than [indiscernible].

Thanks, Maree, for sharing that one. Look, we have been quite clear on this. Our focus is implementing with ACFS in Australia. That is our focus, and that is where we are spending all of our time, and that's what we're in the throes of right now, as you could see from the presentation. The U.S. opportunity is massive as is the global opportunity, but those are not things that we're spending time on right now. Our focus is primarily on ACFS. In terms of actual milestones, we've guided that there'll be some revenue from CTO in FY '26, and we confirm that that's our intent.

It's [ Eric Choi ] from Barrenjoey. So sorry, could I go back to the CVP and I have one numbers, one maybe for Caroline and maybe a high-level qualitative one. Just to help everyone, I guess, with guidance, if you look at your first half, you're guiding 10% CargoWise revenue growth, second half sort of 24%, so there's kind of like a 14% difference in there. And if you assume the CVP makes some of the majority of the difference. And I know there's some FX in the second half, and I know there's only an extra 5 months. But our 14 percentage points or 10 to 15 percentage points of delta is been majority driven by CVP and you're only moving some of your customers across because by revenue, our recognition would still be less than 15%. It sort of implies that the average revenue per user has to be much bigger than that 10% to 15%, probably like 30% plus. Just wondering if I could check that with Caroline.

So the answer to the question is that there is variability in terms of the price increase our customers will see when they come across. So as we mentioned earlier, it really is a function of how much they're using CargoWise under AFCL and how much they'll be using under the new model.

So I think what we can say is that moving 95% of our customers based on count is what supports guidance, which we reaffirmed last week and that any sort of large customers that come on to the system after that is obviously something that will help drive that longer growth. So I think in terms of the average, I think we don't want to say what that number is because it really does vary. It's -- and it's part of it is due to size, but a large piece of it is really due to how much they use the system. But I think definitely, what we've said for FY '26 is that there are 2 major initiatives that are going to contribute to revenue growth. It's the CargoWise value packs and its CTO, and that still remains the case.

A quick follow-up is you've got thousands of customers on you in the top 20 [indiscernible] about 35% of revenues. So if 5% even represents 100 customers, you could infer a large portion of revenues hasn't moved across yet. So that benefit is still to come beyond?

I think it's definitely fair to say that our largest customers obviously contribute the most revenue and we give that split, as you said. So yes, I think for us, it is obviously upside if they come across because they are going to deliver that incremental revenue. So that's true.

Sorry, Caroline. Just qualitatively, in. If you think about another company that's got on pricing power [ REA ]. And the reason why they've been able to be successful is they create FOMO for the real estate agents create for the end customers. So my question is you've got a lot of your LGFS on early access arrangements. You're giving them a lot of features that only they have access to now. Are they seeing FOMO? So are they going to move across because they are going to be at a disadvantage if they don't take it?

It's a great question. So the early access agreement is -- was a process we had in place for some customers to use certain features as we were building them out and experimenting. And we always had a clause that said, once we commercialize those products, the early access agreement will terminate, which it now has. So the customers that were using those features, including some of the larger customers, you would expect that they would be incentivized to come across. They want those features. They've built their business processes now around those features. Again, we're talking about some of the most appreciated features in our product like electronic bills of lading, parts of CargoWise neo certificates of origin. So there will be -- there is a drive for those customers who are using those features to continue to use them and to move to the CVP.

To the more general FOMO comment, I think that really applies well for some of our largest customers. You can imagine with all the work we're doing with AI, particularly around reducing labor and removing large parts of labor. You get one of those top 10 that come across, and there will be a first mover, and it will just incentivize the reps. There will be strong competitive pressures because of the results that, that one sees. So we are convinced that this is the right thing for all forwarders and particularly for those top 10.

There's been a bit of noise in the industry. Without mentioning names, I think we all know who that is. And my view is that there is an unfortunate focus on a pure cost and not on the value of the thing. We are -- someone have constantly has to try to explain to customers value, not price. The industry has a problem because everything is standardized. You can get the same container on the same trade lane from 10 different shipping lines or 20 different airlines for the same kilo freight or from the same transport carrier. They're almost all standardized and within a few percentage points of each other in terms of time, service and cost.

Software is completely different. It has a completely different outcome, and it has a massive impact on labor. If you were a forwarder that has spent all your time generating value because you do more jobs per user in your system than any other forwarder. And there is a forward like that, that makes those claims and is true to those claims. And WiseTech is able to take other orders of similar size and half the labor cost or more. What does it do to that model?

Afternoon. So my question is on competitive advantage. I think there's been a number of breadcrumbs dropped throughout the presentation about what some of those things are. But I won't name them all, but let's say, data assets, global Optima, et cetera. And obviously, your products prowess the ability to deliver agentic AI, for example. How should we think about that competitive advantage translating into revenue and earnings growth momentum sort of on a 1- to 3-year view?

Thanks, Nick. Look, the way I would talk about that is, and we've mentioned this a few times today. The world of global trade is becoming incredibly complicated. You look at what's happening in the U.S. and Anthony talk Brexit, it is the tariff wars, tariff refunds that have been talked about sanctions, embargoes and it parties, restricted parties. The real impact of fines on this freight borders but also the impact of breaches on border security and on countries. It is only products like CargoWise and really CargoWise that solves those problems very well. If you look in the top 25, the biggest competitor in those top 25 for us is legacy in-house software. And legacy in-house software built by freight borders is simply not going to keep up with the increasing complexity of global trade, the increasing threat of cyber security, the ability to drive Agentic AI benefits into the product. So from a 1- to 3-year revenue point of view, it is very fair to say that we think the innovations that we're building, the culture we have, the data we have, the people we have mean that we are in the prime position for those 11 to come knocking on our door.

And maybe just sneaking in a quick follow-up. To what extent is your greatest competition in your core product now coming from your own customers? Some of the feedback we've had recently is that they're trialing both third-party software, which could potentially be your own products as well as trying to build themselves. So how do you counter that? What is the feedback been on the Agentic AI products? So the first, let me answer it this way. And I didn't say this in the AI session, but I should have. A lot of companies talk about bolting on their AI products on top of your own product. On top of cargo is on top of Microsoft on top of something else. And they can have some benefit. They can automate data entry and maybe they can automate a few clicks on screens.

What we are doing by building it into the workflow engine that I referred to earlier, is building it into a very fundamental low-level piece of architecture or of infrastructure. No one else can do that. We own cargoes. We have access to the source code. We can do that. A third party simply cannot do that. And if you think about large global freight borders or any freight part or any business really, there is real benefit in having one piece of product that runs their business operations. not a product here that does customer is a product here that does freight plug Zero into do finance, plug something else it to do something else. That's not how deep domain systems work. The domain systems solve all of the problems that these customers face across the supply chain. And that's why I keep coming back to the fact that we are not just a software vendor that can plug and play. We are the operating system that makes these businesses successful.

And I think any customer of ours that you talk to we'll talk about how there's benefit in having straight-through processing, having connectivity between these systems and not having master data and other data that has to be rekeyed into 3 or 4 or 10 systems. And sorry, the last part of that question, Nick, to build their own. It goes to my earlier comment. These companies are fantastic at what they do in terms of facilitating logistics execution. They might have their hand -- play their hand at trying some software development. But again, we've been doing this for 30 years. And without trying to sort of sound arrogant, that 30 years of experience has allowed us to build the product to the depth that we have today.

Paul Mason from Evans and Partners. I've got Carl just asking them together. The first one is just with all the AI tools that you're launching -- could you give us a bit of an overview of the infrastructure underlay that's supporting that and how well built out that is? And maybe a bit on like how much per agent work action, it costs you to deliver that. And then the second 1 is just docs myself in the guy that was getting on some feedback about North American use of CTO, which I still haven't figured out what the explanation is. But maybe to help me with the 3 products that you mentioned, are any of them actually surface able within CargoWise, like -- because I'm trying to figure out why I'm getting this feedback when you're being very clear about the circumstances right that it's not available yet.

Sure. Let me answer the first part, and I'll throw it to Richard potentially for the second part. The first part in AI. So our infrastructure -- we haven't gone built our own large language model or our own small language model. We are leveraging the billions of dollars of investment that OpenAI, Microsoft, Claude, Anthropic, Google are investing in this space. And as you would have seen yourself, these models and platforms are leapfrogging each other every single day. So we haven't picked one. We have built what we call an LLM proxy, a large language model proxy or layer that buffers us from each individual platform, and it allows us to experiment to do some AB testing and to try different models and see which models are suited for different types of work.

There are certain models that are great for a chatbot. There are different models that are great for interpreting deeply sort of scientific documentation a bit like the world tariff, the 99 chapters that [ Mirta ] referred to. So we are able to leverage all of those models. In terms of cost, it's fair to say it's per cents on the dollar. And we have that capability of scaling them up and scaling them down as demand rises and falls from our customers. Second part of your question, yes, we had a bit of a communication about this. I think I don't know the exact answer, but I can say that there possibly is some integration between Matchbox and CargoWise because I think there was some reference to a matchbox menu that you or someone else made.

No. No, there's no integration.

There's integration between CTO and Matchbox. Matchbox and Aventine, in fact, at which we own through E2open have connections to shipping lines in the world over that led us to container exchanges, container reuse. But there was never a need to have a MatchBox interaction with CargoWise. I might just throw to Michael tooling for a sec if his mic can be turned on, he might be able to add some value here.

Okay. So from a technical aspect, we do have Bloom integrated into CargoWise. So it has an integration to our transport bookings module. That's one possible answer to that in terms of integration. But yes, in terms of MatchBox Aventine, that is very disconnected products.

Paul, the best thing to do is to get some screen shots to us, and we can understand what's going on. What most people believe is CTO is, in fact, what Americans call strict turns or what we call triangulation, where a container is released from the importer as an empty and immediately picked up by the exporter as an empty and repacked. And instead of going to the container park or returning to the terminal, it just transfers in a triangle, effectively import across to the exporter to the terminal.

Now that can only really happen at about 5% of cases because of the way that model works, whereas in the case of CTO, the reuse is part of it. It's not the only part because of all the lead compressions and other things we're doing. So when people say, I'm using CTO, what they really mean is I'm doing street turns, which is what MatchBox does, what [indiscernible] it does, what Bloom does. And it is a value. It does create value, but you just can't do it for very much of the transport chain. It can only be done in small, whereas CTO was meant to be done in the very large and at massive scale.

Yes. Siraj from Citi. Two questions, one on CTO, second one on [indiscernible]. On CTO, I think last year, you had said there's 10 optimizations that you could do with CTO. It seems like the focus on the 12 months has just been on the one optimization. Anything stopping from the other. Is there some hindrance or roadblock to the other mine optimizations. And secondly, you talk about maturation of CTO into FY '27. Is that about ACFS into 10 optimization? Because it sounds like the U.S. has now been pushed out further.

So what do you mean by maturation? Is it global rollout? Or is it just in CFS? Or is it other customers in Australia in Alaska [indiscernible]?

I'll turn to Michael for the first part. But just on the second part, Siraj, we're not going to guide beyond FY '26, of course, but what we can say is there are 2 parallel streams beyond FY '26. The global expansion, obviously, and as Michael and Richard talked to in the session, there are more optimizations and more opportunities for us to build out. And there's no reason we pick one or the other. It's really that both of these things can happen at the same time. Michael?

So here we go. So on the CTO front, I think I mentioned this in the answer to my technical progress question. There's a number that product has continued to evolve. And there are a number of optimizations that we need to do to reach our goals. As I answered earlier, triangulation or container reuse was definitely the first milestone that we hit that around this time last year. The mobile platform that we have built is a technology enabler to enable us to do the next round of optimizations.

On the screens that we looked at before, we spoke about dead leg removal clustering of jobs together to decrease the distances that trucks are traveling. These are some of those optimizations that we listed last year, and there were more than 10. So some of that's our secret source, but they are the optimizations that we're working through, through this product evolution.

I just add a bit to that because you said 10, what we actually said back then was more than 10. And we didn't give you an exact number because we're still building them up. But -- and I don't think we should go around claiming this is how many optimizations we've thought of. There are a lot. We've probably got 3, 4, 5 of those in the current model, and some of the optimizations require volume to exist in the first place before you can really get to the rest of the optimization because of those very large structural localized Optimus in the terminals and with the shipping lines, they're not going to participate until they see that this is really important and a big advantage to them.

At that time, those negotiations will occur and those optimizations will kick in. But as I showed -- as we showed on that map before, there is so much already optimized and the cost base is so much lower once it's an optimized container. I don't think the other optimizations are going to make a material difference to take up now but they will allow us to continue to grow the model and make it more powerful over time. Not necessarily today, good to have in the long term.

Sure. Just a need, e2open, Zubin, you had mentioned August that there is revenue optionality with e2open even for FY '26, right, that you could move on. Have you moved on any of those revenue optionalities, thinking price increases potentially? And secondly, Mark, you sort of mentioned the churn in each open is still a bit too high. Has that picked up from the 5% that I think each open had historical the last couple of years? Or is it just 5% is too high?

Yes, sure. So I mean, from a churn perspective, there's been no major change in churn. I guess the -- what we're referring to there is the higher level of churn relative to the very, very low level of churn that we experienced on CargoWise. And that's what we're aiming to get to. And that's why we're focusing on the like root cause of some of that churn, which is really about making the products better, more robust and add more value to customers. So that's from a churn perspective.

In terms of the revenue opportunities, there are revenue opportunities for us like short term. We are working on some of those. The biggest opportunities for some of the things we talked about earlier on. Those are obviously much later horizon opportunities. But there's a combination of things that we're working on, some that the potential to have some upside, some have some risk to them. So yes, we're working on those opportunities. But from a net perspective, we're not anticipating any major change to our guidance or outcome for FY '26 that was underlying part of the question.

It's Lucy from UBS. I just have 2 questions. So one on CTO as well. I know the focus at the moment is on Australia, but I think you mentioned we're going to go into the U.S. once ACFS is fully implemented. Are we starting those conversations now already with some of the U.S. I guess container transport companies. And in terms of the product as well, are we starting customize and what is needed for that market now? Or is that going to in the road map once FX is embedded?

Great question. Thank you. So we already have connections with a lot of different U.S. customers. So we already know how to do this in the U.S. it's really our optionality in terms of timing as to when we do that. And as Richard said, through Trinium, we have companies there and customers there that we can tap on their shoulder when we're ready.

In terms of customization, there are slight changes, slight differences in how different regions deal with containers and trailers and trucks. But the underlying premise of CTO that we're building here for ACFS is pick up and move to the U.S. with some minor changes. It's not really customizations. It's just additional algorithms or modified algorithms and optimizations that we could do in different markets. but the product we are building today is the product that we can take to the world.

And then just one question on the commercial model as well. I think on one comment, you mentioned was like small freight forwarders can now compete with the large ones because it's now standard pricing. I guess one of the big benefits had [indiscernible] your big customers consolidating because the smaller guys have been. How are you thinking about potential fragmentation across your customer base and whether this is the core opportunity?

I'll answer that briefly, and then I might ask Caroline to comment on that. But for small and medium enterprises, you're right, it sort of levels the playing field a little bit. Or it allows freight forwarders and customers brokers to differentiate based on the service they offer rather than the technology automation. But the other really important thing that the value pack does for is by removing those overheads, removing the seat fees, removing the standard cloud hosting fees. The barrier to entry is just knocked away.

So the barrier to entry for these smaller players who are even more profit sensitive and even more margin sensitive and cost sensitive, I should say, is significantly reduced. Caroline?

Sure. And welcome back, Lucy, by the way. So I think on the large customers, I think there is still the ability for them to gain on consolidation of smaller companies. I think the other area that they -- and actually, even the other small- to medium-sized customers can gain is actually by leaning in deeper to the different layers of productivity that we have in CargoWise that are now more accessible than ever before through the value pack, right? So I think that's always been a way for customers to differentiate themselves. And we have many examples actually where customers are getting great benefits from CargoWise from using simply the forwarding module, but there are customers that really take on board all of the content. They have as many users as possible that are certified. And so they really go into forwarding and all the other ancillary features that we offer that really kind of boost their productivity.

And so I think that opportunity is still there, right? And when we look across our customer base, there's not that many that have lending that deep into the software. So there's a huge opportunity for large customers still to differentiate themselves in addition to the consolidation opportunity.

There is one thing we haven't talked about much, and it's an interesting thing. We get a lot of noise from some customers who are concerned about the new commercial model. We're not getting any noise is when customers -- new customers come to us, we say, we've got this model. you can actually put this in and effectively, your software can be free and you'll be doing what effectively all our other customers are doing, but now you're doing it with completely new and very powerful software. Actually, customers potential customers are very interested in the model and are not reacting negatively at all to the presentation of the model. I think it's really more about change than it is about opportunity. The opportunity is great, and it's shown by the fact that it is relatively easy to explain it to a new customer and say, this is how it's going to work and it's what it's going to mean to you, whereas you're going to a customer that's being used to the same thing for 10 years and they go, "Oh my God, this is a big change".

I have 2 more questions. Yes, over here.

[indiscernible] from Fisher Funds. Zubin, I understand the logic about pricing on the cost to the end customer under following the same logic that if you think of STL, transaction component in STL, a Ford has been passing that cost on the customer? And if not, what has been the impediment and why the difference?

Look, it's a great question. Some have been SP-9 But it's complex. It wasn't a straightforward process. So some forwarders were treated as an overhead. Some would take their average WiseTech invoice or their cargo was invoice every month divided by the number of shipments and for the next month at a different charge on somewhat at a margin and pass it through, but it was a very complex process. In fact, we had one large customer saying they liked this model, and they currently have a team of 5 people in finance that sit there every month and try and figure out how to pass that through. So it's very complex. And the current -- in the new process in CargoWise has value pack, it's a simple, straightforward automatic process.

The second part is in all of those earlier iterations or in most of those earlier iterations, the charge would still hit the customer's P&L, most likely. In the new model, and we're not telling freight forward is how to do their accounting. But our thinking is that in the new model, this would pass through a bit of a clearing account and bypass the P&L. So it has an immediate margin impact if the customer chooses to treat it that way and if the customer chooses to recover it from their importer or exporter.

Follow-up on the CVP because Carolyn sort of mentioned this upside if one of the top 10 mega customers moves to the package breaks their existing pricing moves to the model. Is there -- I mean, I thought you sort of mentioned this in August as well, are you more confident? Is this more -- some progress with the mega customers that you can talk to? Because I think you did say the partnerships and stuff. So can you just touch on that?

Yes. Sure, Siraj. The focus really has been to get the 95% moved across. And similar to the CTO ACFS model, we need to get the industry to adopt this change. We need to have these charges seen in the importer exporter community, and then we're in a position where we can talk about this with more of our larger customers. Having said that, -- we have, over the past 3 months or so had multiple conversations with some very large global freight forwarders about AI, about simplified billing about cost recovery. And in all cases, different variations of customers have liked different variations of those benefits, especially AI. And you're right, we talked about an AI partnership. That is still something we're talking about.

We want to work with large industry partners to test our models, to test opesonas and to really give them first-mover advantage. I said 2 more but if there's a few mobile.

There's no more questions. One more in the front, let's do this one and then we'll stop. It's Eric again. Sorry, for [indiscernible]. Just wanted to ask in this one just because we won't get a chance to tap you again. But there's been some sort of chatter around if bar and CBA sort of sending correspondence and asking you to delay CBP implementation. Can I just confirm you said everything, all the feedback in line with you expect revenue guidance, so there's going to be no delay.

In fact, to be fair, Eric, on Monday, actually, when we launched this, I emailed the CEO of FDA, Ikbal and Quebec and have had really positive conversations with all 3 of them. Sure, they're hearing noise from their members, just like we're hearing noise from their members, i.e. our customers. But the noise is more about how does this work? I haven't read the documentation, -- what's the new charge? What does it mean for me? -- what's the benefit to the import or exporter. There has been no request from any of those associations to me at least, that we should roll this back or we have delayed. In fact, as I said, all those conversations have been very, very positive. Maybe we'll just do this one -- since we cut you off the first time.

So just coming back to passing on to the customers. As you're saying, Richard, there's 20 different containers out there. It's a very commoditized industry. The large orders aren't going to be passing on yet a big chunk of industry revenues. If you are in that small midsized order out there trying to pass it on to your customer. What's like -- why don't you think there'll be a lot more pushback given those industry dynamics?

Why don't we think there'll be more? Why are we so confident is what you're asking?

Yes. I mean I would have thought you see some pushback. There is pushback as we said, there's been noise. I mean you've seen the Reditpost and the other stuff. There has been noise about -- I don't want to recover this. It's not how we operate. We already have a charge for this. We're already charging the customer for this there's obviously going to be noise in a change management process. But what gives us confidence is, a, this is such a small charge, as I said, the smallest charge. -- there's a very clear explanation here about why the importer or exporter should pay it because they are the entire beneficiary of the benefits that we actually build.

And see, I forgot one. I see this is how the industry works. Disbursements are everywhere in this industry and much larger disbursements. Richard talked about the $8 to $230 in 5 years, and that just got dealt with. So those 3 factors give us confidence. The noise is -- it's not a -- doesn't give us pause. It just means we have to continue to communicate. We have to continue to explain to customers and listen to customers and make sure that we're explaining our proposition really well. .

There is one way of looking at this, too. The -- we've talked for probably more than half a decade, maybe more about community pricing. And all of our customers are on the same price list more or less depending on timing and contracts. They have different discounts because their scales are different, right? But we've always had community pricing. What we now have is a community price that we've published. That has never happened before. It's literally there for everybody to see. And on the invoice itself, you can produce a pro forma from us showing the price that we bill the customer. This is incredibly transparent. And the industry has a long-term habit of acquiring a service on behalf of the importer and saying this is necessary to affect the import of the export, and here's the invoice from my supplier and here's the charge on invoice and removal.

And that's what we expect people to do it. And we're going to have to have tough conversations with people. Some people already there. Some people are mostly there and some people are definitely not there. But we have been very transparent, very detailed. Unfortunately, some people just don't read the documentation and some people do. And it's okay. We'll work through it. It won't be at the end of the world. The sky is not falling. But this is a fantastic process that is by the -- I actually do speak about the associations and another couple. This is a brilliant idea is what they've said. We love the idea it's very noisy why did you make it so quick? Well, we have to make it quick because this is an existential crisis if you don't. The AI is coming and it's coming very fast. And we've got to be there first.

Some people have told us we're not going fast enough with particularly some of the news. I think we're going very frankly, and we're going faster than most anybody else. All right. With that, we are going to wrap up. We have a 10-minute break. Is that right? I'm getting sign language from the back. [indiscernible] breaks. And then we have a session with our independent directors. Thank you for the questions.

[Break]

All right. Good afternoon, everybody. We're going to get started on our next session for the afternoon. If you don't mind taking your seats, and we'll get started in about 30 seconds. Thank you.

Great. Thank you, everybody. My name is Katrina Johnson, I am the Group Company Secretary and Head of Regulatory Affairs here at WiseTech. In my role, I get to work very closely with our Board and in particular, with our independent directors. So it's a real pleasure for me to be able to introduce them for our next session today. We have Andrew Harrison, our Lead Independent Director, also Chair of our Audit and Risk Committee and Chair of our Nominations Committee. We have Rob Castaneda, an independent Non-Executive Director. We have Sandra Hook, who is the Chair of our People and Remuneration Committee as well as being an independent Nonexecutive Director and of course, Chris Charleston as well. And we had Rob and Sandra and Chris join us this year, Andrew rejoining the Board earlier this year.

And before I joined WiseTech almost 6 years ago, I spent close to 20 years working in some pretty disruptive, innovative, high-growth tech companies. places such as Uber, PayPal, eBay and StubHub. And I also had the opportunity to serve as a nonexecutive director myself on a couple of ASX-listed technology company boards. And those experiences, both on the executive side as well as being a Board member myself, have given me some direct perspectives and insights on the unique responsibilities and roles that nonexecutive directors have in these sorts of environments of high-growth, transformative, disruptive companies. And the particular skill sets and depth of experience you have in these environments, the challenges you're solving, the problems we're trying to address the scale and the pace at which these companies work is often quite different, of course, to, say, more legacy type business model or traditional, more established businesses where you have a well-worn path to follow. These are companies really doing big different things at scale and speed.

And so some boards, I think it's even more important that those directors have a really good diversity of skills and experience to bring to the table to make sure that the Board is agile enough and responsive enough to be able to address rapid developments in the environment we operate in to take advantage of the various opportunities and appear around corners and be swift to move on those. And when it comes to our particular Board members, I think we've got a great range of that diversity of experience and skills and depth from executive experience that our directors have had and also from other board roles that they have as well, that they bring to our WiseTech board. So looking forward to hearing a little bit more about that in this session.

We're going to start with you, Andrew. Obviously, you had a very extensive executive career before becoming a director and very deep financial experience being CFO at Seven Group, for example. You obviously have very strong corporate governance experience as well from your various board roles you've had. But in addition to that, on our board, you bring that really deep understanding of WiseTech. You've served now for almost 10 years in total as a Board member. You know where Y6 come from, where it's going to, it's people and products. You had retired from the board last year in March as our Board chair, but did return. What were your reasons for coming back to the board this year?

Well, thanks, Katrina. And it's great to see so many of you here today, a number of you might have met with some of the engagement I've had recently. But well, coming back to WiseTech was a relatively straightforward decision for me. I joined the business as a director pre-IPO and went through the IPO and had many years of success with the business. And obviously, with the events of late last year and early this year, there's a period of considerable change and disruption. And I thought I'm being asked by Richard and Charles, given who's here today, it's great to see Charles. If I would consider returning, I didn't hesitate you've got a huge regard for the company and felt if I could add something perhaps in a rebuilding the Board and also bringing some of my experience that I had over the past 10 years to bear. So that's what I've been trying to do.

Thanks, Andrew. And I know one of your key priorities in rejoining has also been to assist on the Board renewal program that WiseTech's been undertaking this year. And to that end, the board has announced an additional appointment of Raelene Murphy, who will be joining the Board as an additional independent nonexecutive director from the first of January. And can you tell us a little bit more about Raelene and what you think he's going to be bringing the Board when she joined, and particularly as the Board continues its evolution and the reforming that you're conducting. And maybe touching a little bit on her particular governance expertise as an experienced ASX Company Director.

No. We're very pleased that Raelene agreed to join the Board. She was the last of the specific profiles we were looking for. which is soon with the financial and accounting background and capable of contributing and particularly further on down the track leading Audit Committee. So a number of you in the room would know her from her other directorships probably most relevant to us was she was on the ATM Board for many years where she had the Audit Committee. She's led the audit committee on a number of other listed businesses as well. She's a very strong character. She's highly experienced, and I think she's going to make a strong contribution.

Great. Thank you, Andrew. Now Chris, you bring some very rich experience from industry to the Board table at Life Tech. You've got over 35 years of global logistics expertise across international trade and customs. You also spent over 25 years of those UPS in senior executive roles, and that's obviously one of our very valued customers at WiseTech. In addition, you've got a lot of industry governance expertise from that experience. You've served in a number of different capacities. You're a licensed string customs broker, you've served the World Customs organization. You've been on the national consultative committee for Australian Border Force, the Advisory Board for Singapore Customs and serving on the executive comedian secretary out for the conference of Asia Pacific Express carriers. So a lot of regulatory and governance expertise there.

What made you decide to join the Board and what do you think you can bring uniquely to the board environment, drawing on your experience in those spaces?

Yes. Thanks, Katrina, and good afternoon, everyone. I had a uniquely different experience as I came from industry. So I understood what WiseTech could bring and also as a customer at UPS, as you talked about. I think that I truly understand the unique value that WiseTech and also CargoWise brings to the industry as well as the head of customer experience and getting ahead of the curve you've heard Richard and Zubin talk about today in relation to what customers need and sometimes don't even know they need is what they can bring to the table.

Joining the Board, are really, really, really excited, as I believe that I could support the Board and the company in relation to bringing the customer's lens understanding what the industry is looking for. And also obviously also bring my depth of experience from overseas as well. And in that, coupled with that, I think that my 11 years, I spent living in Singapore and working across Asia brings not only a different perspective, but also helps the Board from a global perspective in relation to different aspects. So I think that, that, coupled with my industry experiences on industry bodies, brings regulatory compliance as well as some other areas of customers affairs and that sort of the areas that can actually support the Board as we look to the diversification of different perspectives.

And on regulatory compliance, I think if anyone understands the complexity involved in international trade and logistics it's you. You've obviously seen a lot of change in this space. And some of the increased burdens that logistics service providers are facing what do you think are some of the really key developments you've seen in more recent years perhaps? And how do you think those could impact on WiseTech and our ability to serve our customers?

Absolutely. You've heard today of all the different complexities that are in logistics. It's not just one area. It's across the entire supply chain. And that complexity is getting deeper. It's also getting faster and it's getting definitely much more complex. From that, I think it's the ability of the system as well as the company to deliver it. There is not many companies, if any, that are out there that have the depth and breadth to be able to execute the changes that governments are making fast and accurate and deliver that confidence to their customers and also their customers' customer. And I brought this to build this paper piece, so I got this right, okay?

When you talk about what Adam and Anthony were talking about from 2 open before, he used a number that I don't know if you recall, there was 73.8 million updates per annum. 73.8 million updates. Now if you're in the logistics system and you're lucky enough to get 6 hours sleep, what time you went to bed to the time you woke up, that's 50,000 changes that would have occurred overnight. So the complexity, and that's what CargoWise brings into this space is it brings all that complexity and makes it easier for the customers to be more compliant.

Very well said, Chris. [indiscernible], turning to you now. You obviously have a real wealth of experience in your executive career as well as in addition to your board roles that you have in other companies, but in your executive career, you served in some very senior roles, including CEO, COO, GM and Marketing Director and divisions of leading media organizations like [ Foxtel, Fairfax ], News Limited, you've worked across very dynamic fields of media technology, services, communications. And I think the time that you spent in some of these organizations were marked by profound disruption. A lot of change management was required. And I'm keen to hear a little bit more about how your direct experience in leading through change and leading through digital disruption, in particular, help inform the way you think about WiseTech and some of the opportunities that lie ahead for us as well.

Thank you, Katrina. I don't know whether it's one of the features of my career that I keep working on that are deeply disrupted but it seems to be something that I'm terribly attracted to, but my very first industry I worked in was the music industry, which we haven't even mentioned of all the industries that we're deeply disrupted. That was a definite early in. And I think that really all of these industries, including print magazines, television and finally, working in digital businesses myself. The fact that they were so heavily disrupted left a deep embedded a really deep mark on the way I approach business and what I like to bring to business. And when I had the opportunity to run business as a CEO and a Managing Director.

I was all in on innovation and change and ensuring that we had an agile organization that could stay abreast of the times. And I did a lot of transformation work when I was at News Limited, -- and I subsequently made sure that, that translates into my professional career as a director. One of the things that I'm really delighted and one of the reasons why I'm absolutely delighted to be working with WiseTech is that this is a company where innovation is deeply embedded in the very soul of the organization. And having worked in organizations where you have to work very hard to through the change management piece. We've spoken a lot about the change management piece this afternoon and how difficult that can be. The fact is it is difficult, but it is so essentially necessary in order to move businesses forward. So the new commercial models that all businesses are pursuing currently. So I'm finding this deeply satisfying. WiseTech is an Australian. As we all know, an Australian organization of great global scale. It has a big tech moat. It is focused on executional excellence, and it is -- it's got innovation embedded in its very heart. And this very much aligns with what I like to -- where I like to work and what I like to bring to organizations.

That's great. Marrying that executive experience with some of the things WiseTech working on is fantastic. And it's also wonderful to see you be your corporate governance expertise as well, [indiscernible] in addition to that executive insight that you bring. I think serving on other boards, you've served as a PRC here in other organizations. How do you like to bring your corporate governance skill set and depth to the WiseTech.

I think, I mean I've served on PRC as PIC Chair for practically all the boards that I've sat on over the last 12 or 13 years. And I think that's because I'm a deeply people-focused person. I've always worked in businesses that have been driven by people, great companies driven by great strategies with that employee great people to do wonderful things. And I think this is, again, very, very true of WiseTech.

So for me, I'd like to think that my style is very supportive of management. but also constructively questioning and curious and critical where it needs to be. What I have found is that the -- I've spent quite a bit of time with the senior leaders in the organization. And not only is there a wealth of talent in this business and people who genuinely and deeply know their stuff but they also care about the organization, and they're very transparent and frank about the organization. So as well, I might add, has been quite collaborative. There's a lot to do at WiseTech, and everyone's on that journey and very aligned. I have to throw to sober and say one of the things I've also really enjoyed is the fact that getting clarity around strategy is really important. And that's one of the things we talk about at Board level often. And [ Suven ] has spent a lot of time making sure and ensuring that those big rocks are implanted in the business. And the message is carried frequently and with clarity, and that really aligns with where the Board is thinking about strategy and embedding just making sure that we're delivering.

So I guess that's a little bit about how I think about my contribution at Board level. And as shared the PSC, you touched on some of that collaboration with management. How do you ensure that you're getting the right level of information and accessibility to management in order to get the information you need as a director?

Look, from a PC point of view and also on behalf of the whole Board, we work closely with management to make sure that we get all of what you would expect to see in terms of the typical information that's throwing out of the 0up and through the organization. So we're looking at detail about our -- everything from our EAP through to our diversity metrics through to our -- the organizational churn and how that's -- how well we're managing that. I have to say it's a pretty sticky organization. people seem to love working at WiseTech and stay here for a long time. As well, from a director's point of view, we have access to some of the best advisers and consultants. We make sure that there's regular director education. So we're very well appraised and across our directors' duties, we're we have detailed conversations about all of the things that you would expect us to be having conversations about workplace safety, psycho, social health of our staff. And just regular check-ins on the culture that we get through the various mechanisms and surveys within the organization.

Great. Thank you, Sandra. Rob, you are a successful tech founder yourself. You're living in the heart of Silicon Valley, a very exciting place to be for anyone in technology. You get to work closely with cofounders of other large successful companies like [ Mike Cannon Brooks ] and [ Scott Farci Atlassian ], of course, our own Richard and Maree, our cofounders as well. As an entrepreneur and as an innovator, living and breathing tech, what do you think WiseTech needs to be focused on in the near term? And how do you think we're tracking against that?

Well, so thanks for having me. I think if you look at WiseTech, this is a 100-year plus business. The opportunity that's in front of us isn't ASX. It's the world not just Australia, we are #1 and the opportunity, if you look forward for the role that the business can play in life and not just saying we're going to be good for the world, but CTO and what it reduces in terms of just human waste and so forth. So what I love about this company is that it's product driven at its core. Zubin's depth of knowledge, detail, both on the business side and technical side is really good. For me, I love working in technology and kind of.

But the core thing of that is just doing it properly and not just rushing something out the door in the Valley, so I'm Australian. I live in Palo Alto. There's kind of categories of companies that are trying -- to some companies are just trying to catch a wave and be a venture and others are building something to lost, building something that's going to last the century or more and WiseTech is one of those businesses. And with that, there's a unique balance of creativity tenacity to solve a problem that hasn't been sold before. And also for me, it's also looking at what does long-term succession look like, again, building that properly and making sure that we're putting all the energy in the right place behind it. So...

And Rob, you are our first director on the Board who is based outside of Australia. I think that gives a really great international perspective that you bring to the boardroom discussions as well. How does your experience as being outside of Australia sort of shape how you think about why it takes place in the global landscape, the global tech community?

Yes. I think in general, it's I think there are 1,400 lasting employees in the U.S. now. So it's quite sizable. The size of the market there is gigantic -- and for us, it's thinking about growth at a global level and bringing that thinking. And I think Silicon Valley as well as being a place, it's more of a mindset in keeping that product first driver. And we have the core of that here. supporting our people. I worked day and day out. I fly tomorrow for a weekend migration with one of the largest companies in the world doing some hands-on stuff. And that energy of just getting in there and doing stuff like that is here. It's keeping our thinking not limited by maybe some of the local pressures over there. So -- but it's an exciting business to be part of. There is a lot to learn, and I'm excited for the journey.

Fabulous, fabulous. Thank you, Rob. And then coming back to you, Andrew, just a final couple of questions for you. You're obviously the lead independent director. This is a role that the Board has deliberately created. That's a function of having an executive chair in Richard. Could you just maybe talk briefly about the role itself. How is that different from Richard's role as an executive chair? And what sort of thing are you responsible for as delete independent?

Yes. It actually divides up fairly neatly. We have managed the Board charter for those that are interesting documents. In fact that is on the website and you'll see the role and its formal duties sort of set out there. But I think in a nutshell, I focus on more what could generally, we called governance type issues. So there are many, many compliance things that we need to make sure we turn our mind to appropriately. So that is very much in my domain as there's a lot of the meat and potatoes about organizing the way the board goes about its business, its agenda. Liaising with your good self, Katrina, my fellow independent here. So it's working well, Richard and I work very constructively together. It feels like I've said to many of you I've met before, it doesn't feel a long way from when I was an independent chair a few years ago. And I think that's -- that balance seems to be working quite well for us.

Great. And then just finally, looking ahead over the next 12 months, what do you think are some of the key priorities for the Board?

Well, for a Board, we've got a few things. So the first is we want to continue along this renewal process. So Rail and will be joining us in January, we'll have expect, hopefully, shortly thereafter in the near future, at least 1 more new appointment another independent director there. The second is the succession or succession planning more generally in the business, which Rob touched on, obviously, Zubin is doing a great job. There are a number of other senior positions, which were in the process of filling at the moment. So the Board will take a close interest. In that retail open integration, which Mark and the team spoke about earlier, obviously, is a major focus for us as a Board. We're very mindful of delivering forecast position after last year's experience.

So the Board and the whole team and the company is very mindful of delivering on that forecast. And then finally, we'll be doing our regular stuff as a Board. So we've come to -- I think as a team, we're working well together. The guys have come on very, very quickly, and we've got all the normal things on but expected there was a Board rolling forward. So that will give us [indiscernible].

Indeed, indeed. And I certainly appreciate the opportunity to work with each of you. It's been a wonderful experience on the management side as well. With that, please join me in thanking Andrew, Rob, Sandra and Chris, for sharing their insights today. And if anybody would like to stick around afterwards, Dave will be generously sticking around if you'd like to introduce yourself and ask them any questions.

But now I'd like to invite Richard up to the stage to give some closing remarks. Thanks.

Well, thank you all so much for joining us today. I'd like to take a moment to reflect on the one that brought us here. And then began more than 30 years ago. In a small basement in Newtown, well Street, 41 wells street near town, in fact, with my cofounder, Maree in a basement that I dug myself and a credit card with $5,000 and a very simple idea to build a better software solution for Australian freight forward. It's probably for Sydney-based flat forward is really at the beginning because that's all I have is customers.

Back then, our focus was narrow, but the ambition was pretty big. We were solving real problems for real people. I had a very good relationship with a number of very generous Australian fact holders that wanted to do something wanted to help them. Helping [indiscernible] more efficiently in a tough and rapidly changing industry is a big thing. And as the value that we were providing expanded, our penetration across Australia and Zealand grew very powerfully. It became clear that the challenges we were solving weren't just local bonds. They were really global. If we wanted to truly move the industry, we needed to think bigger, much bigger, and frankly, we kind of remain out of customers in Australia because it's a small country relative to the world. It took a few years in a lot of conversations with customers and a lot of research, a lot of thinking and with our partners and with our customers the vision became clear.

We wanted to build the operating system for global logistics. I didn't really have those words in my mind, but they crystallized shortly after that. This is not a tool. It's not a piece of software, not a module. It's a global platform that addresses the root causes of inefficiency, fragmentation and completely across the global logistics chain. The principle of finding the root cause or the dip, the core conflict and solving for that has always been the driving force behind WiseTech and what we build in software products. It shapes every decision, every innovation and every move we've made.

And as we've expanded beyond create forwarding, and into customs, we saw how much value could come from bringing in the business with deep experience, deep knowledge and incredible talent. Acquisitions weren't just about scale, in fact, they were about accelerating our ability to solve complex problems across the world in multiple languages in multiple countries in multiple jurisdictions, with people who had lived and breed those problems and those solutions for decades. That blend of organic innovation and strategic acquisitions has made us stronger and more capable and certainly more global.

From those early days as a team of 5 people in the basement in near term. We are now over 7,000 deeply talented, passionate problem solvers around the world, everyone contributing to something significantly bigger than any of us could have built alone. And I can honestly say that the scale that we've become is far beyond anything that I imagined when we started. Today, the addition of e2open incredibly complex challenges that exist across the global supply chain. There is no team better equipped, no business with more depth than to take on or deliver our expanded vision to be the operating system for global trade and logistics. That journey hasn't been without friction. It is certainly not today or any other day we haven't had friction. Innovation moves fast. Industry don't always keep the same pace, especially one as old as international trade arguably one of the foundations of civilization. Change can be uncomfortable as we all know. But our role, indeed, our obligation has always been to push forward to solve industry-wide challenges, to drive transformation and to create genuine lasting value across the global supply chain and the logistics chain.

We're not selling software. We're enabling productivity, scalability and risk reduction, leading to better business outcomes. We're actually selling business success -- what you've seen today from the team is the continuation of that commitment. And it's exactly what you will continue to see from us in the months and years ahead. I'm incredibly proud of what WiseTech has achieved . I'm proud of our innovations and of the people who drive the great global business, they are at the heart of and the brilliance behind everything we do. I feel truly privileged to be part of a global business and an industry that plays such an essential and positive role in the world, an industry that keeps economies moving, keep product flowing and connects people, communities and businesses everywhere in the world. [ Two ] have mentioned the visible hand of economics. It's there every day.

Thank you. Thank you for listening to us today. Thank you for being here today. Thank you for the belief in your partnership and for joining us today. The journey continues. And whilst we have some -- had some big wins, there is still much to do, and the best is still to come. Thank you.

Thanks, Richard. Thank you, everyone. What a fantastic day. I want to offer you a genuine and heart fill thank you to all our presenters, our Board, our leaders and the incredible teams behind the scenes who made today really possible. their preparation, their commitment and their passion for what we're building is extraordinary, and I'm deeply grateful for the work that they all do every single day. And to all of you, whether you joined us here in Sydney or tuned in online, thank you. Your engagement, your questions, your continued support mean a great deal to us, and we don't take it for granted.

Today, it was about giving you a clear honest view of the work that we are doing, how we're integrating it to open, how we're evolving our product strategy, how AI and optimization are accelerating our progress. and how our people are driving real outcomes across this business. I hope you leave with a strong sense of the scale of our ambition, the discipline behind our execution and the meaningful opportunity ahead for WiseTech. As I said at the start, this is a company built on product powered by people and positioned for growth across the entire supply chain. Everything you heard today reinforces the momentum we're building and the confidence we have in the path ahead. We are in the business of selling success. We sell productivity, we sell innovation, and we give our customers the capability to become truly remarkable businesses. We are not just a software vendor. We are a catalyst for value creation and growth.

So let me close with the 3 key messages I mentioned I hoped you'd walk away with today. We innovate deeply. We execute relentlessly and we hold the strongest trade data asset in the industry. That combination is rare, powerful and positions us for everything that comes next. For those here with us in Sydney, please stay, meet our teams and spend time with the people who make this company what it is. For those online, thank you again for being part of today. On behalf of all of us at WiseTech, thank you for your time, your trust and your partnership. We're very excited for what comes next. Thank you.