Locus Robotics Reduces Warehouse Cycle Times by 70%
- •Staples Canada reduces order cycle times by 70% using autonomous robotic systems.
- •Real-time validation at the point of pick eliminates the need for separate quality control stations.
- •Integrated data analytics allow for continuous optimization of routing and picking logic within the facility.
Staples Canada has successfully overhauled its fulfillment operations by embedding accuracy directly into the picking process. By deploying autonomous mobile robots, the company transitioned from a bottlenecked quality control (QC) model to a streamlined, real-time validation system. This shift was powered by a centralized platform that orchestrates robotic fleets and integrates with warehouse management systems to confirm item details at the source.
The results include a 70% reduction in total order cycle time. Previously, items were picked and passed to a separate team for verification—a process that added hours to turnaround and created uneven workloads. Now, robots handle transport while providing instant feedback to associates. This accuracy allows the warehouse to repurpose former QC spaces for active picking, increasing capacity without expanding the footprint.
Beyond metrics, the integration has fostered a shift in workplace culture. Associates receive real-time data, allowing them to own their performance and learn from discrepancies immediately. By removing the physical strain of transport and the pressure of downstream errors, the facility reports improved morale and safety. This demonstrates how flexible automation transforms logistics into a continuous, high-speed operation that benefits both the bottom line and the workforce.