SalesTech Star

Radial Selects Covariant to Automate eCommerce Fulfillment with AI-Powered Robotics

Radial eCommerce Fulfillment & Omnichannel Technology

Covariant’s Robotic Putwalls increase the efficiency and reliability of Radial’s operations – especially during demand surges

Radial, Inc., a bpost group company, the leader in eCommerce solutions, announced a new partnership with Covariant, a leading global AI Robotics company, to automate sortation in their batch-picking operations through the installation of twelve Covariant Robotic Putwalls. The Robotic Putwalls sort a high variety of health and beauty items for one of the world’s leading retailers in Radial’s fulfillment center in Louisville, Kentucky.

The integration of Covariant’s Robotic Putwalls into the existing facility operations delivers more optimal eCommerce fulfillment performance and accuracy – providing high quality, reliable and consistent customer experience for Radial’s clients. With a more automated order sortation system, Radial can reduce worker strain and fill gaps in its workforce, while improving overall facility output and delivery times, specifically around high-demand periods.

“In six months, together we have realized the successful automation of day-to-day sortation at a major facility – and we’re just getting started.”

Read More: Carving is for Turkeys, Not Territories

“We are continuously looking for novel technologies that can advance our processes and provide our clients a competitive edge, making their eCommerce fulfillment more proficient and intelligent, and Covariant’s autonomous robots do just that,” said Deborah Williams, Vice President of Fulfillment, Radial. “Innovation is not all about evolving operations. It is about standing out to our clients, helping them break through, and ensuring we can guarantee them the success they rely on us to deliver. We are excited to partner with Covariant and we’re already looking at additional use cases to drive further agility across our network.”

Each of the twelve robotic u-shaped putwalls average about one hundred thousand picks per month with a throughput of 425 pieces per hour (PPH) – a performance higher than their manual alternative. While working side-by-side with Radial’s world-class staff, the autonomous robots can successfully pick 100% of the stock-keeping units (SKUs) at the Louisville fulfillment center. The Covariant Brain, a universal AI that enables robots to see, think, and act, powers this autonomous performance. Pre-trained on millions of SKUs from connected robots around the world, the Covariant Brain allows robots to pick and place virtually any item on day one while adapting and learning from the new items the robots experience.

“The challenge of eCommerce logistics continues to be the cost-effective delivery of a great customer experience. Radial turned to Covariant to deliver an AI Robotic automation strategy that improves quality and throughput while reducing unpredictability,” said Ted Stinson, Chief Operating Officer, Covariant. “In six months, together we have realized the successful automation of day-to-day sortation at a major facility – and we’re just getting started.”

On January 15-17, the Radial leadership team will be in attendance at NRF 2023, Retail’s Big Show discussing how retailers and eCommerce brands can break through the next level of fulfillment, transportation management, omnichannel technology, payments and fraud, and customer care in 2023 and beyond.

At booth #6150, Radial will showcase a fully operational Covariant Robotic Putwall used for order sortation and have interactive demos, videos, scanners, POS devices, and other information and technologies on display.

Read More: SalesTechStar Interview with Jeannine Shao Collins, Chief Client Officer at Kargo

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Brought to you by
For Sales, write to: contact@martechseries.com
Copyright © 2024- SalesTechStar. All Rights Reserved. Website Design:SalesTechStar | Privacy Policy
To repurpose or use any of the content or material on this and our sister sites, explicit written permission needs to be sought.