Berkshire Grey’s latest Robotic Product Sortation (RPS) solution, equipped with advanced AI and machine learning, doubles order processing capacity. The system enhances speed and efficiency in picking, sorting, and packing tasks while optimising container cube utilization by up to 10%.
Berkshire Grey Unveils AI-Powered Robotic Sortation Solution for E-commerce
Berkshire Grey has launched the latest version of its Robotic Product Sortation (RPS) solution aimed at enhancing e-commerce order fulfillment. Announced on December 8, 2021, this innovation boasts a dual-wing design that improves processing speed by over 25%, effectively doubling the capacity for managing orders.
The RPS system, featuring advanced AI and machine learning, works collaboratively with human operators, enhancing speed and efficiency in picking, sorting, and packing tasks. It is also designed to optimize container cube utilization by up to 10%.
Tom Wagner, CEO of Berkshire Grey, highlighted that the RPS addresses labor-intensive processes in e-commerce fulfillment, employing state-of-the-art machine vision, sensors, and patented gripping technology.
Already in use among several Fortune 100 retailers, the RPS handles a diverse range of products including apparel, electronics, and pharmaceuticals. The system integrates seamlessly with automated storage and retrieval setups and supports scalability across multiple RPS units. Its compact design fits into less than 2,500 square feet of space.
Berkshire Grey has been active in 2021 with several product launches, including the Robotic Shuttle Put Wall in October, and global availability for its robotic pick-and-pack solutions as of September. The company went public in July 2021.
