Most companies deploying AI in their supply chains are making a common mistake: They are starting with the technology before understanding their data. They launch pilots, experiment with forecasting tools, and deploy isolated optimization engines—then wonder why almost none of it scales. The problem isn’t the AI. It’s that they skipped the step that makes AI trustworthy. Build intelligence on a broken data foundation and you get broken intelligence, every single time.
