Just like with self-driving cars, more data means higher capability and reliability which further drives customer retention and happiness.” More robots deployed means more proprietary data being collected. To my knowledge, we’ve now deployed the world’s largest fleet of eCommerce ASRS picking robots. “This has been a significant competitive advantage allowing us to quickly scale. When I say ‘one day, $0, zero code changes,’ it sounds too good to be true, but our customers will vouch for us,” said Simon Kalouche, Nimble’s founder and CEO. A full production integration can all be done in one day using Nimble’s AI Integration tool. The AI interprets the already existing human operator interfaces to determine what items to pick and where to pack them. Our AI-based integration requires no changes to the warehouse software whatsoever.

Our technology has been proven to be reliable to 99.9% accuracy in production, but what’s often the most impressive and exciting product feature, in the eyes of our customers, is the way in which we seamlessly integrate our robots. Our AI learns what grippers work best on different objects and automatically switches its gripper to properly pick, pack and handle each object. “Our robots use a variety of different grippers and supervised autonomy to reliably handle nearly any object or product that fits into a bin. The company added that its offering solves these two critical challenges. Additionally, integration of technology into warehouse ecosystems including warehouse management system (WMS) software is a time consuming and painful process which can require changes to the WMS, according to Nimble. Having robots that can reliably handle all of this variability has been considered by many to be impossible, Nimble added. Each of those products are different sizes, shapes, weights, textures, stiffnesses and fragility. Ecommerce fulfillment centers hold millions of different products. Over the past few years two challenges have stifled the adoption of pick and pack robots: robot reliability and technology integration challenges, Nimble explained.

The Nimble robots have picked more than 15 million objects, across 500,000 unique products ranging from eye-liners, belts, body wash and loofahs to keyboards, mice, USB sticks and game-consoles to lingerie, hoodies, and footwear – everything from daily essentials to holiday gift favorites. Nimble has deployed fleets of robots in production within warehouse environments across the United States this year with existing and new contracts that can grow the fleet with over 200 more robots in 2022, according to Nimble. The functionality of some of these live projects can be seen in a new video from Nimble. Nimble robots, which use artificial intelligence (AI), are working as part of systems developed by some of the industry’s leading systems integrators and providers including AutoStore, Opex, Bastian, Swisslog, TGW and Kuecker Pulse Integration (KPI), Nimble also explained. Nimble also shared that it is working with many well-known brands including Best Buy, Victoria’s Secret, Puma, NFI/CalCartage, iHerb, Adore Me, Weee! and others. Nimble Robotics, a robotics and e-commerce fulfillment technology company, today shared details on the rapid adoption of its solutions.

Nimble robotics series