Retailers often strive to offer customers a wide variety of products across channels. But this variety comes with a cost — especially when it involves items that move slowly. These low-movement SKUs can quietly burden the supply chain by inflating storage costs, increasing handling complexity, and contributing to underutilized freight capacity. To remain profitable and responsive, retailers must adopt smarter inventory placement strategies for these products.
The Hidden Impact of Low-Movement SKUs
Slow-moving items are not obsolete — they are simply infrequent in demand. Yet, when distributed across too many fulfillment centers, they drive inefficiencies in replenishment, trailer utilization, and warehouse operations. Because these items move in smaller quantities, they are more likely to trigger low-volume replenishment cycles, often on partially filled trucks. This increases the cost per unit delivered and creates operational noise.
Public Case Example – Target
Target has publicly acknowledged in its earnings calls the complexity of balancing product availability with operational efficiency. In response, the company has refined its fulfillment network by limiting the number of nodes that carry certain slower-selling SKUs. This strategic reassignment has allowed Target to reduce costs while maintaining high in-stock rates for customers, especially for niche and seasonal items. Their approach shows that fewer stocking locations can still support broad national coverage when supported by reliable transportation and inventory visibility systems.
A Strategic Reassignment Model
Instead of placing every SKU in every fulfillment node, retailers can:
– Segment SKUs by velocity and contribution margin
– Assign low-movement SKUs to a smaller subset of well-positioned locations
– Use demand forecasting to determine ‘center of gravity’ for regional stocking
– Simulate delivery lead times to ensure acceptable customer experience
This model reduces unnecessary replenishment runs, minimizes safety stock, and helps preserve warehouse throughput for faster-moving items.
Technology Enablers
Modern inventory optimization platforms offer capabilities like multi-echelon planning and demand-driven network design. Some retailers are also using simulation tools to compare cost, service, and speed trade-offs for different fulfillment configurations. Machine learning algorithms can help refine SKU segmentation based on seasonality, geography, and demand consistency.
Results Observed in Industry
Retailers that have implemented focused placement strategies for slow-moving items have reported:
– Improved trailer utilization during replenishment
– Reduced carrying costs by consolidating inventory
– Enhanced inventory visibility and turnover for niche categories
– Better workload balancing across fulfillment centers
These changes do not require radical infrastructure investment — just smarter decision-making powered by data and strategic planning.
Conclusion
Low-movement SKUs don’t need to be everywhere to serve customers well. With a thoughtful, data-driven placement strategy, retailers can reduce cost, improve efficiency, and still deliver on the promise of product variety. In an era where margins are thin and fulfillment speed matters, getting inventory placement right is more than an optimization — it’s a competitive advantage.
Author Biography
Debanshu Sharma is a logistics strategist with over 15 years of experience in network design, inventory optimization, and supply chain analytics. He writes regularly about fulfillment strategy and the intersection of data science and operations.
