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Descartes promotes AI, data automation…

Descartes promotes AI, data automation advances for supply chains

Descartes Systems Group is showcasing new artificial intelligence and automation technologies aimed at improving supply chain efficiency, compliance and risk management at Manifest 2026 in Las Vegas.

The Waterloo, Ont.-based logistics technology company said the innovations build on its Global Logistics Network and are designed to help organizations manage increasingly complex supply chain and trade environments.

“AI and data-driven automation are becoming essential to managing modern businesses and logistics leaders are under pressure to operate smarter, safer and faster across increasingly intricate supply chains,” said Ken Wood, executive vice-president of product management at Descartes. “Supply chain participants need access to clean, formatted, real-time, inter-enterprise data from a trusted source. At Manifest, we’re showcasing how our global trade intelligence, forwarder and customs broker, transportation management and fleet and last mile solutions can leverage the data on our Global Logistics Network to support high-stakes logistics operations with greater confidence, control and competitive advantage.”

The company said its AI-driven global trade intelligence tools include technology designed to improve denied party screening accuracy, automate product classification and identify trade trends and anomalies through natural language queries.

Descartes also highlighted AI enhancements to forwarder and customs broker enterprise systems that automate document processing and compliance filings, while expanding shipment tracking and integration capabilities.

In transportation management, the company said agentic AI tools are designed to automate driver engagement, track shipments, confirm arrivals and departures and collect proof-of-delivery documentation.

The company added that new fleet and last-mile tools use AI to monitor driving behaviour, predict service times based on real-time conditions and identify delivery risks to help maintain service reliability.

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