BEDFORD, Mass., Oct. 16, 2024 (GLOBE NEWSWIRE) -- Berkshire Grey Inc., a leader in AI-powered robotic solutions for automating supply chain operations, announces the release of the V3 Put Wall, the latest iteration of its globally deployed solution. Designed to automate eCommerce order consolidation and returns processing, the V3 Put Wall provides a modern, integrated alternative to manual put walls and traditional linear sorters.

More than just a point solution for sortation, the V3 Put Wall is a critical enabler of amplified efficiency in automated fulfillment systems. By seamlessly integrating with key technologies such as ASRS (Automated Storage and Retrieval Systems), the V3 Put Wall enhances overall warehouse operations, empowering businesses to manage complex orders, scale rapidly, and process a broader range of SKUs. Its compact footprint maximizes throughput while complementing existing automation infrastructures, offering the flexibility to fit into any environment.

“The V3 Put Wall is a breakthrough in warehouse automation,” said Paul Ambruso, VP Product, at Berkshire Grey. “When paired with ASRS and other complementary systems, it acts as a force multiplier, boosting the value of existing automation investments.”

Key Features of the V3 Put Wall Include:

• Complete SKU and Order Handling: Optimized to handle a wide range of SKUs—including small, oversized, irregular, and hard-to-handle items—minimizing the need for manual exception handling and processing even the most complex orders efficiently.
• Compact and Customizable Design: Requiring just 540 sq ft, the V3 Put Wall easily fits into existing facilities, whether installed on the floor or mezzanines. It offers end or middle induction options, along with modular shelves or totes that can be reconfigured as business needs evolve.
• Faster Return on Investment (ROI): V3 offers the best performance-to-cost ratio, with typical customer paybacks under 1 year.
• Orchestration and Integration: Advanced software amplifies order processing by dynamically adjusting sort locations and integrating seamlessly with upstream automation systems like ASRS. This reduces manual labor, improves fulfillment efficiency, and ensures high throughput, even during peak times.
• High Throughput and Scalable Destination Capacity: Expandable to over 10,000 units per hour (UPH) and thousands of destinations, the V3 Put Wall significantly enhances order processing speed and accuracy.
  

"The V3 Put Wall is the complete solution for businesses seeking to transform their fulfillment operations," said Paul. “By acting as a critical link in the automation chain, it amplifies the value of ASRS and other systems, enabling businesses to service more orders simultaneously and with greater accuracy. This means quicker order fulfillment, lower labor costs, and seamless integration into existing operations—delivering unmatched value.”

Ideal for industries such as retail, eCommerce, 3PL, and omnichannel distribution, the V3 Put Wall offers scalable, efficient solutions for managing high order volumes. Set for deployment in 2025, the V3 Put Wall provides customizable sortation capabilities, delivering industry-leading efficiency and maximizing the performance of a fully automated fulfillment ecosystem.

For more information about the V3 Put Wall and Berkshire Grey’s full portfolio of robotic automation solutions, visit www.berkshiregrey.com.

About Berkshire Grey

Berkshire Grey Inc. helps customers radically change the essential way they do business by delivering game-changing technology that combines AI and robotics to automate fulfillment, supply chain, and logistics operations. Berkshire Grey solutions are a fundamental engine of change that transforms pick, pack, place, and sort operations to deliver competitive advantage for enterprises serving today’s connected consumers. Berkshire Grey customers include Global 100 retailers and logistics service providers. More information is available at www.berkshiregrey.com.

Media Contact:

Cailin Radcliffe
Berkshire Grey Inc.
press@berkshiregrey.com