Multi-Warehouse Order Routing

A large U.S. general merchandise retailer has become one of the most visible adopters of store-based intelligent order routing, fulfilling over 80% of online orders from store inventory as of late 2023, according to Digital Commerce 360 reporting. The retailer invested in training thousands of store employees as omnichannel fulfillment associates and hired over 100,000 seasonal workers in 2023, many allocated to store fulfillment, to meet peak demand. The approach leverages AI-powered order management to route each order to the optimal store or distribution center based on inventory levels, distance to the customer, and delivery capacity. The result has been faster delivery times and improved cost efficiency by using existing store infrastructure rather than relying solely on centralized distribution centers.

A large European retailer with more than 25,000 products and over 20,000 employees deployed an AI-powered logistics optimization platform to improve distribution center shipment operations. According to a ThroughPut AI case study published in 2025, the retailer reduced logistics costs by 33%, approximately 2 million euros per year, and reduced SKU volume by 20% and transportation costs by 33% through AI-driven demand sensing and shipment optimization. The implementation delivered measurable results within 90 days of deployment. Separately, a global footwear and accessories retailer reported that after deploying a distributed order management system, store networks were able to fulfill Black Friday order volumes up to seven times higher than the prior week in equal or even half the fulfillment time, according to statements from the retailer's vice president of post-purchase operations.