I Simulated an International Supply Chain and Let OpenClaw Monitor It

Towards Data Science / 4/24/2026

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Key Points

The author addresses a real-world logistics mystery: 18% of shipments were late even though each team met its individual targets.
They built a live simulation of an international supply chain to reproduce and observe how delays emerge under realistic conditions.
An AI agent (OpenClaw) was connected to monitor the simulation and investigate the root causes of lateness.
The article focuses on using simulation plus an AI monitoring/investigation workflow to uncover issues that are not visible from isolated team performance metrics.

Mario asked me why 18% of his shipments were late when every team hit their target. I built a live simulation, connected an AI agent, and let it investigate.

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