The Buy-Online-Pick-Up-in-Store Retailing Model: Optimization Strategies for In-Store Picking and Packing

Online shopping is growing fast due to the increasingly widespread use of digital services. During COVID-19 pandemic, desire for contactless has further changed consumer behavior and accelerated acceptance online grocery purchases. Consequently, traditional brick-and-mortar retailers are developing omnichannel solutions such as click-and-collect services fulfill increasing demand. In this work, we consider Buy-Online-Pick-up-in-Store concept, in which orders collected by employees conventional stores. As labor a major cost driver, apply discuss different optimizing strategies picking packing process based on real-world data from German retailer. With comparison methods, estimate improvements efficiency terms time spent during process. Additionally, can be decreased applying mathematical model that guides how organize articles bags general, put forward effective paradigm easily implemented stores with topologies.