Self-Optimizing Technologies to Help Warehouses Adjust in Real Time

Lucas Systems announced new software enhancements to its next generation Dynamic Work Optimization tool, which now delivers more effective warehouse performance.

Lucas Systems Dynamic Warehouse Hq
Lucas Systems

Lucas Systems announced new software enhancements to its next generation Dynamic Work Optimization (DWO) tool, which now delivers more effective warehouse performance by considering in-the-moment complexities related to order priority, SKU clustering, proximity and warehouse layout. 

"You cannot future proof your warehouse with fixed or mechanical automation. Rising supply chain volatility requires adaptive operations with in-the-moment smart decision support. The more agile your operations are, the more you'll be able to capitalize on opportunities and minimize the impact of disruptions and then course correct them," says Lucas Systems CMO Ken Ramoutar.

 

Key takeaways:

 

  • The enhanced software promises a reduction (up to 50%) in the number of steps workers take inside the warehouse by optimizing pick paths in a way that considers the least amount of travel time required. 
  • The “dynamically-driven“ technologies apply machine learning algorithms to recommend which products should be moved. It also learns the spatial characteristics of a warehouse and predicts task time based on activity-level data. The model then continues to “learn,“ providing continuous optimization as conditions change.

"The agility from smart software will help warehouses respond - cost effectively - to supply chain disruptions and other fluctuating market dynamics. Warehouses that aren't dynamic will face significant long-term challenges with warehouse performance and more demanding customer service levels," Ramoutar adds.

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