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Agentic AI in the global supply chain

Agentic AI offers operational improvements by acting on insights, unlike generative AI. It enables real-time oversight and decision-making in supply chains.

Richard Howells, Andy HancockOctober 1, 20251 min read
Agentic AI in the global supply chain

Stargo's Stardox leverages agentic AI to transform unstructured supply chain data into actionable insights, enhancing operational efficiency.

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 for operational improvements. Unlike generative AI, which is great for creating content, agentic AI can act upon insights, collaborate, make decisions, and initiate actions across different business functions. This allows COOs to have oversight and control over all design-to-operate processes in near-real time, simply by giving the agent a goal to achieve, phrased as a natural language query.

Source: www.sap.com

Authors: Richard Howells, Andy Hancock

Original Article: https://www.sap.com/uk/blogs/agentic-ai-in-global-supply-chain

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