Transactional and in-store display data of a large supermarket for data-driven decision-making |
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Authors: | Lin Zhao Lefei Li Zuo-Jun Max Shen |
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Affiliation: | 1. Department of Industrial Engineering, Tsinghua University, Beijing, China;2. Department of Industrial Engineering and Operations Research, University of California, Berkeley, California, USA |
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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. |
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Keywords: | data-driven research in-store display data transactional data |
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