Data-Driven Research in Retail Operations - A Review
38 Pages Posted: 7 Jul 2020 Last revised: 2 Sep 2020
Date Written: June 11, 2020
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 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.
Suggested Citation: Suggested Citation
Qi, Meng and Mak, Ho-Yin and Shen, Zuo-Jun Max, Data-Driven Research in Retail Operations - A Review (June 11, 2020). Available at SSRN: https://ssrn.com/abstract=3625059 or http://dx.doi.org/10.2139/ssrn.3625059
Do you have a job opening that you would like to promote on SSRN?
Feedback to SSRN
If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday.