Descartes Systems Group 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%.
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,” says 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.”
Key takeaways:
· 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,” says 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 decision-making and respond more effectively to changing global trade conditions.”
