Robot fleet continuously recalculates order fulfillment priorities and inventory movement patterns.
From Modern Materials Handling
By Josh Bond, Senior Editor
Rex Brown is a fast-growing, e-commerce expert in sourcing, branding and distribution. The company currently processes 2.5 million orders per year for customers ranging from major household name brand Unilever to small and medium-sized enterprise brands.
After deploying a fleet of modular sortation robots, the company will have the capacity to process more than 10 million orders each year.
Rex Brown operates across Europe, the Middle East and Africa and is expanding across the Asia Pacific region, with a growing capacity of 30,000 daily shipments. The company sought to manage inventory complexity and scale sorting capacity to 20,000 parcels per shift—with plans to double this volume over the next few years.
The new mobile robots (GreyOrange) leverage artificial intelligence and machine learning to optimize fulfillment operations, working in fleets to efficiently and fluidly move parcels from receiving through dispatch. This avoids sortation bottlenecks that can occur with rigid systems, especially during periods of peak volume.
Integrated intelligence software serves as a learning layer in the robots, enabling them to communicate with each other and the central system to continuously recalculate order fulfillment priorities and inventory movement patterns.