Truck and Track Autumn 2026 www.truckandtrack.com 28 DESCARTES™ Descartes Systems Group the global leader in uniting logistics-intensive businesses in commerce, announced the Descartes Datamyne™ AI Agent, a new conversational AI capability that helps sourcing, sales, supply chain and market intelligence teams reduce global trade data research and analysis time by up to 90%, depending on the user’s experience and query complexity. Embedded in the Descartes Datamyne global trade intelligence solution, the AI Agent allows users to ask questions in natural language and returns contextual answers in seconds, supported by dynamic visualizations and the underlying shipment records. “Geopolitical disruption, tariff volatility and shifting sourcing patterns are making trade decisions more complex and time-sensitive,” said Brian Hodgson, General Manager, Trade Intelligence at Descartes. “By making trusted trade intelligence more accessible, the Descartes Datamyne AI Agent helps organizations understand where suppliers are gaining or losing activity, how product flows are changing, where market demand is emerging and how competitors are adapting. Users move quickly from a business question to validated insights on trends, risks and opportunities while retaining visibility into the records behind the analysis.” Descartes Datamyne covers 230 markets with more than 500 million shipment records added annually. The AI Agent makes this extensive import and export data foundation easier to access, helping users identify suppliers, monitor competitors, evaluate trade risks, develop sales opportunities, and understand changing markets. In seconds, it responds to natural-language questions with relevant data, visualizations and contextual insights. The Descartes Datamyne AI Agent helps users: ■ Ask complex trade questions in natural language without building filters, using Boolean logic or mastering database query structures; ■ Validate AI-generated findings through dynamically updated data views, visualizations and drill-down access to supporting shipment records; ■ Explore insights within the same environment by refining questions and investigating related companies, commodities, shipments and trade relationships; ■ Analyze actual trade behavior using observed shipment activity to understand changes in suppliers, buyers, product flows and market demand, rather than company descriptions, self-reported supplier profiles or general web content; and ■ Improve supply chain planning with decision-ready summaries that highlight notable trends, anomalies, sourcing opportunities and other patterns across large volumes of trade records. “AI is most useful when it combines trusted, domain-specific data with a clear connection to the decisions customers need to make,” said Ken Wood, EVP Product Management at Descartes. “The Agent analyzes shipment-level data and presents findings alongside the records and visual evidence supporting them, allowing users to verify conclusions, refine their questions and continue exploring without leaving the platform. Embedding the Agent directly into Descartes Datamyne gives customers a more transparent and intuitive way to accelerate decisionmaking and respond more effectively to changing global trade conditions.” www.descartes.com Ken Wood, EVP Product Management at Descartes Descartes Expands AI Innovation with Agent that Helps Reduce Global Trade Data Research and Analysis Time by Up to 90% Descartes Datamyne™ AI Agent draws on data spanning 230 markets with more than 500 million shipment records annually to deliver traceable insights in seconds “AI is certainly the buzzword of the moment, especially if you’ve been keeping up with the news over the past few days. However, there’s a danger that logistics businesses can get caught up in the unhelpful hype without knowing all the facts. “The truth is not all AI is the same. There’s a big difference between open-ended generative AI tools and AI embedded within specialist logistics software to perform predefined tasks. “In logistics, the latter has proved to be valuable because it works within a controlled environment, using operational data to solve specific problems, identify patterns and support better decision-making. However, how operators use this technology will very much define the outcomes they get. “One of the biggest challenges with AI for logistics operations at the moment is that it’s only as good as the information - data - it’s working with. If operational data is fragmented across spreadsheets, outdated or inaccurate, the technology won’t suddenly turn that into reliable insight. “Effective AI in logistics requires trusted, structured, realtime data from multiple external sources in order to help plan, execute, comply, verify and analyze activities across the shipment lifecycle. In this way, AI can help solve inter-enterprise logistics problems and help logistics-focused businesses optimize outcomes using insights from all participants.” www.descartes.com Andrew Tavener, Head of Marketing at Descartes says Andrew Tavener, Head of Fleet Marketing EMEA at Descartes
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