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This paper presents the Large Behavioral Model (LBM), which learns customer decision-making from retail transactions using a Person–Environment formulation, retrieval-augmented generation, and reinforcement learning. It outperforms frontier LLMs on retail tasks and shows strong zero-shot transfer.