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- Title
Data‐driven research in retail operations—A review.
- Authors
Qi, Meng; Mak, Ho‐Yin; Shen, Zuo‐Jun Max
- 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.
- Subjects
OPERATIONS research; SCIENTIFIC literature; INVENTORY control; MACHINE learning; MANAGEMENT science
- Publication
Naval Research Logistics, 2020, Vol 67, Issue 8, p595
- ISSN
0894-069X
- Publication type
Article
- DOI
10.1002/nav.21949