Automated Design of Inventory Policy with Large Language Models: An Exploratory Study
The results show that data-driven parameter optimization can guide LLM-based search over a broad space of inventory policy classes and identify high-performing, interpretable, and transferable decision rules.
Feng Yang, Preet Baxi, Yi Zhang et al.
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