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What is Data Driven Inventory Control For Large Product Portfolios about?

This paper presents a data-driven prescriptive analytics approach for dynamic inventory control in a large network of pharmacies, focusing on interrelated products. It introduces a global learning model that leverages cross-learning opportunities from historical demand and feature data, significantly improving inventory management decisions compared to traditional local learning methods. Extensive numerical evaluations demonstrate that this approach can reduce costs by up to 38.9% compared to existing bench

Author

khoingo.31241022242

Language

EN