Logiwa

Logiwa, a cloud-based warehouse management system serving e-commerce brands and third-party logistics providers, faced growing pressure to improve picking throughput and reduce per-order shipping costs across its customer network. As e-commerce order volumes scaled, manual carrier selection and order routing processes became a structural bottleneck — operators lacked real-time visibility into rate differentials and fulfillment path efficiency. Without intelligent routing, orders were assigned to carriers based on static rules rather than live cost and proximity signals, leaving measurable savings unrealized and limiting the pick rates warehouses could sustain at peak demand.

Logiwa integrated Flexport's AI-powered logistics platform directly into its warehouse management workflows, replacing manual carrier selection with a machine learning layer that evaluates each order against cost, delivery speed, and geographic proximity to the end customer. The integration connects Logiwa's order management engine to Flexport's fulfillment network via API, enabling automated rate optimization and routing decisions at the moment an order is released for picking. Rather than a phased pilot, the cloud-to-cloud integration was deployed across Logiwa's customer base, allowing the ML models to train on order patterns at scale. Flexport's fulfillment infrastructure handles carrier negotiation and rate benchmarking, while Logiwa surfaces the optimized routing recommendations within its existing operator workflows.

The Flexport integration produced measurable gains across both throughput and cost:

• 15% increase in pick rates — warehouse teams processed more orders per labor hour by following ML-optimized pick paths and fulfillment sequences
• $1,300 saved per 10,000 orders — realized through automated carrier selection that consistently routes to lower-cost options without sacrificing delivery performance

Beyond the headline numbers, the shift from manual to AI-driven routing reduced decision overhead for warehouse operators, allowing staff to focus on execution rather than carrier evaluation. The cost savings scale proportionally with order volume, making the integration increasingly valuable as Logiwa's customer base grows.

• Carrier selection is a compounding cost lever — even modest per-order savings multiply quickly at volume; $1,300 per 10K orders becomes material at typical mid-market fulfillment scale.
• API-native integrations enable faster deployment than custom middleware — Logiwa's cloud architecture allowed the Flexport connection to reach production without warehouse-level hardware changes.
• ML routing requires order-level data richness — integrations that feed destination, SKU weight, and carrier SLA data into the model consistently outperform rule-based alternatives.
• Pick rate gains come from sequencing, not just speed — optimized fulfillment paths reduce walking distance and decision points, lifting throughput without adding headcount.
• Platform-level integrations distribute savings across tenants — WMS providers serving multiple brands can apply a single integration to their entire customer base, amplifying ROI beyond what any single operator would achieve alone.