A year ago, AI in supply chain mostly meant chatbots answering questions about shipment status. That's changed. In a new piece for
Logistics Viewpoints, FourKites CEO Matt Elenjickal argues that an agentic AI operating layer, built on supply chain data, will collapse the organizational silos that have defined how large shippers run their businesses for decades.
That’s because AI agents can now execute multi-step workflows autonomously, coordinating across systems, making decisions based on real-time data, and acting on those decisions without waiting for a human to click "approve." They read shipping documents, cross-reference contracted rates, flag discrepancies, monitor inbound shipments, detect delays, adjust dock schedules, and notify downstream teams.
The harder question, Elenjickal writes, isn't whether the technology works. It's what that means for how organizations operate.
Read the full piece here.
Spot container rates from Shanghai to Rotterdam jumped 19% in a single week as the war in the Middle East disrupts major shipping routes and lengthens delivery times. Carriers have stopped transiting the Strait of Hormuz and are largely avoiding the Red Sea, opting for the longer route around southern Africa. 
If AI is doing more of the executing, the talent you hire needs to look very different. Amanda Dyson, VP of Marketing at FourKites, writes in 
What's the difference between a chatbot and an AI agent in logistics? Kevin Krukis, Managing Director of FourKites' German operations, breaks it down for 
