WSI implements Manhattan Active WMS to streamline ecommerce and DTC fulfillment across all fulfillment centers

WSI Supply Chain Solutions, one of the largest privately held third-party logistics (3PL) providers in the United States, faced mounting pressure as ecommerce and direct-to-consumer (DTC) fulfillment volumes surged. Their existing warehouse management technology lacked the intelligence and scalability to keep pace with growing order complexity across multiple fulfillment centers. Core warehouse processes — receiving, picking, replenishment, and shipping — operated without consistent standards, creating performance gaps as throughput demands increased. Without a platform capable of optimizing labor and inventory in real time, WSI risked eroding the service reliability that its customers had come to expect.

WSI deployed Manhattan Active® Warehouse Management across all of its ecommerce fulfillment centers, replacing legacy systems with a cloud-native WMS built entirely on API microservices. The platform's AI-driven order allocation engine applies machine learning to optimize pick density — clustering and sequencing orders intelligently to reduce travel time and improve picker efficiency. The cloud architecture enabled a consistent, standardized rollout across every site without the overhead of on-premise infrastructure. Manhattan Associates' Professional Services team partnered closely with WSI throughout implementation, providing ongoing guidance and support. The system integrates visibility dashboards that surface individual, departmental, and facility-level performance against defined operational goals, giving managers actionable data across the entire fulfillment network.

From the initial rollout phase, WSI achieved measurable operational improvements across its fulfillment network:

• Throughput volume: measurable increase, sustaining performance as ecommerce and DTC demand continued to surge
• Picking accuracy: measurable improvement, reducing fulfillment errors at scale
• Shipping reliability: increased, supporting consistent on-time delivery commitments to customers
• Inventory accuracy: improved across fulfillment centers
• Delivery times: reduced

Critically, these gains were realized even as demand kept rising — validating the platform's ability to scale without degrading service quality. The implementation also established standardized workflows across all sites, giving WSI a repeatable operational foundation for continued growth.

• AI-driven order allocation delivers measurable pick density improvements in high-throughput ecommerce environments by intelligently clustering and sequencing work — not just automating existing processes.
• Standardizing warehouse processes across all fulfillment centers before aggressive scaling is essential to sustaining customer service levels during growth phases.
• Cloud-native, microservices-based WMS platforms reduce deployment complexity across multi-site networks and provide the agility 3PLs need to respond to volatile DTC demand.
• Strong vendor partnership — including responsive professional services and customer support — is a material factor in successful WMS implementations at this scale.
• Real-time performance visibility at individual, departmental, and facility levels enables proactive management rather than reactive firefighting.