Enhancing efficiency in the picker-to-parts E-commerce warehouse: a perspective based on order lifecycle and operational behavior computing

Over 80% of e-commerce warehouses use the picker-to-parts model, where employees collect items within the warehouse. Despite its widespread use, research that integrates the order lifecycle and employee behavior is limited. This article addresses this gap by exploring operational behavior computing and human-machine integration to optimize picker-to-parts efficiency. First, we outline the order-planning workflow from an order lifecycle perspective. We then conduct a literature review to identify practical applications of academic insights. The article concludes by suggesting future research directions, such as developing online coordinated optimization techniques and integrating multiple technologies to address data quality and uncertainty.