Splitting shopping and delivery tasks in an on-demand personal shopper service
We introduce a personal shopper service that offers the same-day delivery of products avail- able at brick and mortar stores. Each customer request is placed online and could involve items from multiple stores. The operator of this service has to dynamically accept requests, coordinate a fleet of shoppers, schedule shopping operations at stores and execute deliveries of accepted re- quests to customers on time. Our work focuses on studying the benefits of splitting requests into smaller tasks served by different shoppers in parallel and consolidating tasks with a common shopping location into one store visit. We present and solve an online optimization model and empirically show that the percentage of requests served increases when request splitting is al- lowed. This benefit is mostly obtained due to an increased shopper utilization, reduced shopping times, and cheaper routing options available.
|Keywords||on-demand, personal shopper service|
|Series||ERIM Report Series Research in Management|
|Journal||ERIM report series research in management Erasmus Research Institute of Management|
Arslan, A.M, Agatz, N.A.H, & Klapp, M. (2019). Splitting shopping and delivery tasks in an on-demand personal shopper service (No. ERS-2019-009-LIS). ERIM report series research in management Erasmus Research Institute of Management. Retrieved from http://hdl.handle.net/1765/118350