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- Publisher Website: 10.1002/nav.21957
- Scopus: eid_2-s2.0-85091848865
- WOS: WOS:000579166100001
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Article: Transactional and in-store display data of a large supermarket for data-driven decision-making
| Title | Transactional and in-store display data of a large supermarket for data-driven decision-making |
|---|---|
| Authors | |
| Keywords | transactional data data-driven research in-store display data |
| Issue Date | 2020 |
| Citation | Naval Research Logistics, 2020, v. 67, n. 8, p. 617-626 How to Cite? |
| Abstract | © 2020 Wiley Periodicals LLC 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. |
| Persistent Identifier | http://hdl.handle.net/10722/296222 |
| ISSN | 2021 Impact Factor: 1.806 2020 SCImago Journal Rankings: 0.665 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhao, Lin | - |
| dc.contributor.author | Li, Lefei | - |
| dc.contributor.author | Shen, Zuo Jun Max | - |
| dc.date.accessioned | 2021-02-11T04:53:06Z | - |
| dc.date.available | 2021-02-11T04:53:06Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | Naval Research Logistics, 2020, v. 67, n. 8, p. 617-626 | - |
| dc.identifier.issn | 0894-069X | - |
| dc.identifier.uri | http://hdl.handle.net/10722/296222 | - |
| dc.description.abstract | © 2020 Wiley Periodicals LLC 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. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Naval Research Logistics | - |
| dc.subject | transactional data | - |
| dc.subject | data-driven research | - |
| dc.subject | in-store display data | - |
| dc.title | Transactional and in-store display data of a large supermarket for data-driven decision-making | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1002/nav.21957 | - |
| dc.identifier.scopus | eid_2-s2.0-85091848865 | - |
| dc.identifier.volume | 67 | - |
| dc.identifier.issue | 8 | - |
| dc.identifier.spage | 617 | - |
| dc.identifier.epage | 626 | - |
| dc.identifier.eissn | 1520-6750 | - |
| dc.identifier.isi | WOS:000579166100001 | - |
| dc.identifier.issnl | 0894-069X | - |