Data-driven research in retail operations - a review
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 methodo...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Wiley
2020
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| _version_ | 1797067879816888320 |
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| author | Qi, M Mak, H-Y Shen, J-ZM |
| author_facet | Qi, M Mak, H-Y Shen, J-ZM |
| author_sort | Qi, M |
| collection | OXFORD |
| description | 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.
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| first_indexed | 2024-03-06T22:02:43Z |
| format | Journal article |
| id | oxford-uuid:4f235832-6f84-4447-9688-c30f3740c099 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T22:02:43Z |
| publishDate | 2020 |
| publisher | Wiley |
| record_format | dspace |
| spelling | oxford-uuid:4f235832-6f84-4447-9688-c30f3740c0992022-03-26T16:05:21ZData-driven research in retail operations - a reviewJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:4f235832-6f84-4447-9688-c30f3740c099EnglishSymplectic ElementsWiley2020Qi, MMak, H-YShen, J-ZMWe 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. |
| spellingShingle | Qi, M Mak, H-Y Shen, J-ZM Data-driven research in retail operations - a review |
| title | Data-driven research in retail operations - a review |
| title_full | Data-driven research in retail operations - a review |
| title_fullStr | Data-driven research in retail operations - a review |
| title_full_unstemmed | Data-driven research in retail operations - a review |
| title_short | Data-driven research in retail operations - a review |
| title_sort | data driven research in retail operations a review |
| work_keys_str_mv | AT qim datadrivenresearchinretailoperationsareview AT makhy datadrivenresearchinretailoperationsareview AT shenjzm datadrivenresearchinretailoperationsareview |