, I published an article showing how an AI agent could help a fashion company analyse failures in its distribution chain . The idea was to connect Claude Opus 4.6 to transportation data to investigate supply chain failures (a store not receiving products on time) and identify the root cause. Why was a Shanghai store delivered with a 45-hour delay when every team supposedly hit their target? A week later, I received a message from a potential customer: Mario , a logistics director at a fashion company based in Milan. “We have exactly this problem: when I ask the teams, everybody is on time, but 18% of our shipments arrive late. Can your AI agent monitor this in real time?” They ship luxury goods from a Milan warehouse to 67 stores worldwide through a complex chain involving multiple teams that depend on one another to ensure orders are delivered on time.…