Forrester Says Agentic Supply Chain AI Exposes Bad Master Data Before Fixing It

The Common Question

What data do I need in place before deploying AI agents in supply chain?

The Lesson in This Case

Supply chain leaders who skip data cleanup before deploying agentic AI will discover their weakest data problems faster, not fix them – and that cost will show up in failed automations and agent decisions that can't be trusted or traced. Forrester's minimum viable data foundation framework requires harmonized master data across products, locations, suppliers, customers, and resources, plus a shared semantic model and live event visibility before any agent acts. If your AI budget doesn't include a line item for master data governance and semantic standardization, your agentic supply chain initiative is built on a foundation that will break under its own ambition.

Originally reported by Forrester Research Blogs. Read the full story here.