Journal article
Data-driven research in retail operations - a review
- Abstract:
- We review the operations research/management science literature on data‐driven methods in retail operations. This line of work has grown rapidly in recent years, thanks to the availability of high‐quality data, improvements in computing hardware, and parallel developments in machine learning methodologies. We survey state‐of‐the‐art studies in three core aspects of retail operations—assortment optimization, order fulfillment, and inventory management. We then conclude the paper by pointing out some interesting future research possibilities for our community.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 693.0KB, Terms of use)
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- Publisher copy:
- 10.1002/nav.21949
Authors
- Publisher:
- Wiley
- Journal:
- Naval Research Logistics More from this journal
- Volume:
- 67
- Issue:
- 8
- Pages:
- 595-616
- Publication date:
- 2020-10-03
- Acceptance date:
- 2020-08-28
- DOI:
- EISSN:
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1520-6750
- Language:
-
English
- Keywords:
- Pubs id:
-
1129663
- Local pid:
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pubs:1129663
- Deposit date:
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2020-09-01
Terms of use
- Copyright holder:
- Qi et al.
- Copyright date:
- 2020
- Rights statement:
- © 2020 The Authors. Naval Research Logistics published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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