Berkshire Gray Introduces Robotic System for Autonomous

A media clip accompanying this announcement is available by clicking on the image or link below:

BEDFORD, Mass., March 23, 2022 (GLOBE NEWSWIRE) — Berkshire Grey, Inc. (Nasdaq: BGRY), a leader in AI-based robotic solutions that automate supply chain processes, today introduced its new Robotic Pick and Pack with Identification (BG RPPi) system, which now includes advanced auto- item identification and handling, for automatic contactless e-commerce packaging. Using Berkshire Grey’s advanced AI-powered robotic technology, this system combines automated picking with intelligent placement to pack e-commerce items directly into automatic bagging equipment, increasing throughput capacity without adding overhead. additional manpower.

“Berkshire Gray’s Robotic Pick and Pack with Identification (BG RPPi) system for automatic bagging is the newest addition to our innovative portfolio of e-commerce solutions,” said Kishore Boyalakuntla, VP of Product. at Berkshire Grey. “This system helps retailers increase throughput while using sustainable automatic bagging approaches. With BG RPPi for eCommerce Autobagging, we can now help retailers set up a fully autonomous contactless pick-to-ship fulfillment operation, reducing labor reliance and increasing overall productivity.

Berkshire Grey’s RPPi for e-commerce is an AI-powered robotic system that leverages advanced machine learning to automate the selection of individual items and intelligently package them directly into polybag, polyfilm packaging machines. and durable. This system identifies individual order items in real time using advanced automatic identification technology and item-specific robotic manipulation. Data is transmitted seamlessly to automatic bagging equipment to create labels and pack items for shipment. BG RPPi is compatible with major automatic bagging brands, including Pregis and CMC, with additional integration partners under development.

With BG RPPi for eCommerce Autobagging, retailers and e-commerce vendors can:

  • Increase capacity without adding labor
  • Enable 24/7 autonomous operations
  • Make better use of sustainable packaging solutions
  • Increase ROI of existing automatic bagging equipment
  • Manage 3x more SKUs compared to other robotic solutions to automate maximum order volume and reduce manual intervention

BG RPPi for eCommerce Autobagging is part of Berkshire Gray’s E-Commerce Robotic Automation Solutions Portfolio this also includes robotic package sorting and identification, robotic shuttle placement walls, robotic shuttle product sorting, and mobile robotic sorting and fulfillment. With systems used today in many industries, including e-commerce, same-day grocery, package handling and retail, Berkshire Gray is a recognized and trusted leader in advanced automation. .

Berkshire Gray will exhibit at Modex 2022 where we will showcase BG RPPi for eCommerce Autobagging along with other products from the Berkshire Gray portfolio. Come Visit us at the booth #B4207.

About Berkshire Gray

Berkshire Grey, Inc., (Nasdaq: BGRY) helps customers radically change their essential way of doing business by delivering breakthrough technology that combines AI and robotics to automate fulfillment, supply chain and logistics operations. Berkshire Gray solutions are a fundamental change engine that transforms picking, packing, moving, storing, organizing and sorting operations to deliver a competitive advantage to businesses serving today’s connected consumers. . Berkshire Gray customers include Global 100 retailers and logistics service providers. To learn more about Berkshire Grey, please visit BerkshireGrey.com and follow Berkshire Gray on FacebookLinkedIn, Twitter, and YouTube.

Berkshire Gray and the Berkshire Gray logo are registered trademarks of Berkshire Grey. Other brands mentioned are the property of their respective owners.

Berkshire Gray Contacts:

Method communications for Berkshire Gray
[email protected]

Sara Buda
Vice President, Investor Relations, Berkshire Gray
[email protected]

Comments are closed.