# Inventory Optimization Under Uncertainty: Broad random shocks trained a tougher inventory planner than a clever AI adversary did

Source: https://dinand.com/publications/inventory-under-uncertainty/
Author: Dinand Tinholt
Published: 2026-06-15

> An inventory-planning experiment explores which kinds of stress prepare a policy for unfamiliar disruptions.

Article overview

A simulated distribution center becomes a laboratory for testing inventory policies against supply disruptions. A language model manages the experimental loop. Broad random shocks produced a directional advantage over targeted adversarial training, with the article explicitly noting that five runs do not establish statistical significance. The documented research process and its self-audit are central to the work.

[Read the full article on Medium ](https://medium.com/@tinholt/inventory-optimization-under-uncertainty-broad-random-shocks-trained-a-tougher-inventory-planner-396134e2c5e3)

This page is a short editorial overview. The original publication contains the complete article and any later updates.

Continue the thread

## A next room to enter.

[Choose another path ](https://dinand.com/)

[LinkedIn · 2026

### Building a Fake Economy Run by AI Agents to Negotiate Trade Promotions: Lessons from a CPG Simulation

Manufacturer and retailer agents negotiate promotions inside a simulated market with competing incentives.

](https://dinand.com/publications/trade-promotion-agents/)[Research · Study summary · draft

### When monitoring stops scaling

What a simulation suggests about the cost of overseeing a growing agent portfolio.

](https://dinand.com/research/when-monitoring-stops-scaling/)[Research · Published article overview

### When liability changes the reviewer

A controlled simulation of how a record of past harm affected an AI supervisor.

](https://dinand.com/research/oversight-and-liability/)

[All publications ](https://dinand.com/publications/)[Research ](https://dinand.com/research/)

---
Site guide for AI agents: https://dinand.com/llms.txt