Clickstream Big Data and “Delivery before Order Making” Mode for Online Retailers

Authors

• Yeming Yale Gong, EMLYON Business SchoolFollow
• Haoxuan Xu, Huazhong University of Science & Technology

Document Type

Research Paper

Publication Date

2014

Abstract

Our research is inspired by a leading online retailer using clickstream big data to estimate customer demand and then ship items to customers or hubs near customers by a mode of “delivery before order making” (DBOM) mode. Using clickstream data to obtain advance demand information in order quantities, we integrate the forecasting with a singleitem uncapacitated dynamic lot sizing problem in a rolling-horizon environment. Using the simulated clickstream data, we evaluate the performance of DBOM mode.

Copyright

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Comments

Paper 6

Publication Title

Progress in Material Handling Research: 2014

ISBN

9781882780183

Recommended Citation

Gong, Yeming Yale and Xu, Haoxuan, "Clickstream Big Data and “Delivery before Order Making” Mode for Online Retailers" (2014). 13th IMHRC Proceedings (Cincinnati, Ohio. USA – 2014). 11.
https://digitalcommons.georgiasouthern.edu/pmhr_2014/11