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.
Progress in Material Handling Research: 2014
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.