Agentic AI in the global supply chain

Executive Summary

In the fast-paced world of supply chain management, every second matters. Delays, inefficiencies, and disconnected data can have massive financial and operational consequences. The introduction of agentic AI—intelligent, sometimes autonomous agents that can understand natural language, bridge information gaps, integrate across systems, and even take action—represents a huge opportunity and even a business imperative for operational improvements for manufacturers and their supply chain partners. There’s a major difference between generative AI and agentic AI. While generative AI is great for creating content, making predictions or answering questions, agentic AI takes things further. It doesn’t just generate insights—it has the ability to act upon them. AI agents can collaborate, make decisions, and initiate actions across different business functions. In other words, agentic AI moves AI from suggestion to execution.