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Transactional and in-store display data of a large supermarket for data-driven decision-making
Authors:Lin Zhao  Lefei Li  Zuo-Jun Max Shen
Affiliation:1. Department of Industrial Engineering, Tsinghua University, Beijing, China;2. Department of Industrial Engineering and Operations Research, University of California, Berkeley, California, USA
Abstract:This article describes daily and monthly transactional and in-store display data of a large supermarket from January to October in 2019 associated with 28 757 stock-keeping units (SKUs) in 5 categories and 41 subcategories. The database contains five parts, including information about each SKU, in-store display, daily sales, inventory, and replenishment. We also propose some research questions related to assortment planning, pricing, inventory management, and customer behavior. Researchers are welcome to develop data-driven models or other innovative methods to address these questions or other practical problems using this database.
Keywords:data-driven research  in-store display data  transactional data
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