Agentic AI Operating Models are Redefining Supply Chain Design
· Source: erp.today
In short
Agentic AI operating models represent a structural shift in supply chain management, enabling systems to autonomously respond to real-world events by integrating broader data inputs for continuous optimization across procurement, inventory, production, logistics, and service operations. These models allow autonomous agents to reroute shipments, adjust sourcing strategies, and mitigate risks in real time without manual approvals, while agent-to-agent interactions across supply chain ecosystems enhance resilience and enable faster recovery from disruptions. The study highlights that 62% of supply chain leaders believe embedded AI agents accelerate speed to action, and 76% of chief supply chain officers expect process efficiency improvements as agents handle repetitive tasks.
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Tags: supply chain, automation, AI agents, optimization, resilience, governance