Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management

In three linesStudy of autonomous AI agents in multi-echelon supply chains using MIT Beer Game. Reasoning models reduce costs by 67% vs human teams, but reveal an 'agent bullwhip effect': amplification of decision unreliability across echelons. A GRPO-based reinforcement-learning post-training framework using system-level rewards improves reliability and reduces tail events.

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