WSI implements Manhattan Active WMS to streamline ecommerce and DTC fulfillment across all fulfillment centers
WSI Supply Chain Solutions deployed Machine Learning & Predictive Analytics for Warehouse Automation & Robotics in Warehousing & Distribution. As reported by www.stocktitan.net: Measurable improvement (specific % not disclosed) throughput volume.
Source-reported figures (cited source: www.stocktitan.net)
What WSI Supply Chain Solutions was trying to fix
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.
What WSI Supply Chain Solutions deployed
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.
Results
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.
Key Takeaways
- 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.
Evidence for WSI Supply Chain Solutions's Warehouse Automation & Robotics deployment
- Reported outcome metrics
- 2 cited below
- Cited source
- www.stocktitan.net
- Last updated
- Source published
- Source link checked
Explore Related
Details
- Industry
- Warehousing & Distribution
- Use Case
- Warehouse Automation & Robotics
- AI Technology
- Machine Learning & Predictive Analytics
- Company Size
- MidMarket
- Company
- WSI Supply Chain Solutions
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