Description
Agentic AI in Supply Chain describes a network of independent agents that not only analyze data but also plan and perform tasks across business workflows. In supply-chain operations, this approach allows AI agents to take charge of processes such as purchasing, inventory management, transport, and fulfillment, responding instantly to dynamic conditions.
In contrast to traditional AI (which might forecast demand or highlight risks), agentic AI is about action: shifting from decision-support to decision-execution. Automated procurement systems that monitor supplier performance and instantly shift purchases to alternate vendors when issues arise, alongside logistics tools that adjust shipment routes in real time.
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