Order fulfillment policies for ship-from-store implementation in omni-channel retailing

One of the recent trends in omni-channel retailing is ship-from-store which allows a retailer to fulfill online orders by using inventory from a nearby store. The benefits of this fulfillment model include faster delivery, lower shipment costs, higher in-stock probability, increased sales and customer satisfaction, etc. Despite its many benefits, this fulfillment model introduces many new operational challenges to the retailer, including the need to identify from which location to fulfill an online order when it arrives. In this study, we consider a retailer having both online and store operations, with each channel carrying its own inventory. Store orders are fulfilled from store inventories, whereas an online order can be shipped either from an online fulfillment center or from any other store that maximizes the retailer's overall profit. Our study investigates dynamic fulfillment decisions: from which location to fulfill an online order when it arrives. We incorporate the uncertainty both in demand and in the cost of shipment to individual customers to characterize the optimal cross-channel fulfillment policy. Due to the optimal policy being computationally intractable for large-sized problems, we construct an intuitive heuristic policy to guide the retailers in their fulfillment decisions. We find that the proposed heuristic method is effective and obtains solutions within a reasonable amount of time for the cross-channel fulfillment problem. (c) 2020 Elsevier B.V. All rights reserved.

Automated summary

Ship-from-store is a recent trend in omni-channel retailing that allows retailers to use inventory from nearby stores to fulfill online orders, leading to faster delivery, lower shipment costs, higher in-stock probability, increased sales, and customer satisfaction. While this fulfillment model has many benefits, it also introduces operational challenges, including deciding from which location to fulfill online orders. This study investigates dynamic fulfillment decisions and proposes a heuristic policy to guide retailers in their cross-channel fulfillment decisions.