Robotic Shuttle Put Wall
Built by Berkshire Grey · United States

Overview
The Berkshire Grey Robotic Shuttle Put Wall (RSPW) is an AI-powered robotic sortation system for e-commerce order fulfillment. It uses a gantry-style robotic shuttle to place items into up to 240 order sort locations simultaneously, dramatically increasing throughput compared to manual put walls. The system handles 100% of typical e-commerce SKUs including challenging items like polybags, cylinders, and tubes. Upstream batch pick rates can improve by up to 33%, and the overall fulfillment process can be increased by up to 300% without additional labor.
Flagship features
- AI-enabled robotic sortation system for e-commerce order fulfillment
- Handles up to 240 concurrent orders vs. industry average of 80 for manual put walls
- Increases order fulfillment throughput by up to 300%
- Handles 100% of typical e-commerce SKUs including challenging items (polybags, cylinders, tubes)
- Improves upstream batch pick rates by up to 33%
- No additional labor required to operate
Specifications
Detailed specifications pending — claim this page to add yours.
Detailed specifications
Other6
- Sub Category
- sortation_amr
- Payload Class
- light
- Company Country
- US
- Deployment Notes
- Deployed by Maersk in a 685,000 sq. ft. facility at SEGRO Logistics Park East Midlands Gateway ahead of 2023 peak season in the U.K.[3][7]
- Environment Rating
- indoor_only
- Additional Information
- - AI-enabled robotic sortation system for e-commerce order fulfillment - Handles up to 240 concurrent orders vs. industry average of 80 for manual put walls - Increases order fulfillment throughput by up to 300% - Handles 100% of typical e-commerce SKUs including challenging items (polybags, cylinders, tubes) - Improves upstream batch pick rates by up to 33% - No additional labor required to operate - Part of Berkshire Grey's comprehensive AI-powered robotic portfolio for supply chain automation - FedEx deploying fully autonomous robotic trailer unloader (separate product) in 2026 after multi-year collaboration
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