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AI that moves your warehouse forward

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7 April 2026By Vishal Minocha | Vice President, Product Management

Introducing pick path optimization for Infor WMS

For years, Infor™ has helped customers master the “last mile” of supply chain execution. Over the past 18 months, we have extended that strength into the warehouse with practical artificial intelligence (AI) in Infor WMS that addresses the last few feet and even the last inches of execution inside the four walls, where lead times, service levels, and customer experience are won or lost. Our AI solutions are built around real outcomes that drive measurable gains for operators, supervisors, and supply chain leaders.

Forklift truck drivers in a warehouse

Today’s launch highlights our newest innovation: Infor WMS pick path optimization, an AI-driven capability that improves the movement of pickers across the warehouse floor and turns thousands of micro-movements into meaningful business impact.

A smarter, faster way to pick

Pick path optimization is designed to strengthen the most critical point of warehouse execution. It improves routing for both foot pickers and powered equipment by calculating the most efficient path in real time.

The result is:

  • Increased order throughput per shift
  • Faster fulfillment lead times
  • Reduced congestion, fewer delays, and less waiting
  • Safer and more predictable equipment movement
  • Improved on-time delivery performance downstream
  • Completed daily workloads with fewer resources, improving cost control and operational flexibility

This is where AI directly supports the flow of goods through the warehouse and helps teams complete more work with greater consistency. Coram, a prominent European manufacturer and designer of bathroom fixtures, is already seeing the impact firsthand:

“With Infor’s AI‑driven pick path optimization, we have elevated our warehouse operations to the next level. By intelligently leveraging real‑time data, we achieve 15% faster picking and 25% less travel distance. This leads to better utilization of our workforce and reduces our dependence on temporary staff. Infor has been a strong partner in this transformation, and we are taking the next steps to further apply their AI innovation within our logistics operations.”

Vera Janssens and Michael Greers, Supply Chain, Coram International B.V.

The core of pick path optimization

ML-driven travel distance and time optimization

This capability minimizes total walking distance and time across pick runs. Customers using this capability have already seen a 25% reduction in travel distance and 15% faster picking time.

Congestion detection and avoidance

The system monitors task load, picker locations, and historical traffic patterns to reroute pickers around busy aisles. This reduces waiting, smooths flow, and helps teams maintain predictable shift performance.

Equipment-based optimization

Routing is tailored for forklifts, order pickers, and other equipment based on aisle width, one-way rules, and turning radius. Warehouses benefit from safer movement and more efficient utilization of their assets.

Part of a connected portfolio of AI for the entire warehouse

Pick path optimization works alongside the broader Infor WMS AI ecosystem, including:

  • Slotting and inventory quality optimization to reduce stockouts and improve space utilization
  • Advanced cartonization to lower transportation costs, reduce packaging material usage, and support sustainability goals
  • Product and revenue forecasting to improve labor planning and working capital management
  • Generative AI (GenAI)-powered operational intelligence to gain faster insights and streamlined shift startup

Together, these capabilities reinforce one another to create a warehouse that adapts to demand, flows efficiently, and delivers reliably.

Explore the details

For a deeper look at this innovation, view the full commercial video here.

Read the full executive brief to see how AI is transforming warehouse execution.

Join the May 7 customer digital event

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Learn more about Infor Velocity Suite

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