Prediction of customer demand for perishable products in retail inventory management, using the hybrid prophet-XGBoost model during the post-COVID-19 period,Applied Economics Letters

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Prediction of customer demand for perishable products in retail inventory management, using the hybrid prophet-XGBoost model during the post-COVID-19 period
Applied Economics Letters ( IF 1.287 ) Pub Date : 2024-03-24 , DOI: 10.1080/13504851.2024.2333995
Maider Elorza ₁ , Eduardo Castellano ₂ , Sara Segura ₂

Affiliation

Retail inventory management (IM) presents challenges in decision-making, especially in determining optimal inventory levels for future customer demand alignment. This study focuses on predicting da...

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