limitedDistribution · Industry Research
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.

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
More from the News Room
View allWe are publishing more related coverage here soon. Explore the full News Room for the latest articles.
See ROI in 12 weeks
See where enterprise data is slowing operations down.
Estimate the manual effort, delays, and leakage hidden across your current workflow before you automate it.