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Transactional and in‐store display data of a large supermarket for data‐driven decision‐making
Author(s) -
Zhao Lin,
Li Lefei,
Shen ZuoJun Max
Publication year - 2020
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/nav.21957
Subject(s) - transaction data , inventory management , computer science , stock (firearms) , transactional leadership , transactional analysis , database , operations research , data science , database transaction , operations management , economics , management , mechanical engineering , psychology , social psychology , engineering
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.