A supply chain engineer built a live 24/7 simulation of an international luxury goods distribution chain (Milan to Asia/Middle East) to demonstrate how AI agents can monitor and investigate shipment delays. Using OpenClaw with Codex-powered personas, a team of 12 AI analyst agents continuously pulls data from a Transportation Management System, identifies root causes of late deliveries, and sends flash reports to operational teams via Telegram. The result: Monday meetings cut from 2 hours to 20 minutes, regional managers get local visibility without waiting for CSV exports, and problems surface before customers complain.
Table of contents
Mario’s Challenge: Managing a Chain Where Every Team Depends on the NextHow luxury goods travel from Milan to TokyoMario’s Nightmare: A delay that nobody ownsMeet the AI Performance ManagersWhat Changed for MarioRegional teams get local visibilityProblems surface before customers complainConclusionSee it liveAbout MeSort: