Digital Teammate From Badger Technologies Uses Multipurpose Robots

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Badger Technologies LLC last month launched its Digital Teammate platform, which includes its autonomous mobile robots, or AMRs. The company said its multipurpose robots can enhance employee productivity at retail stores.

" Badger Technologies' robots seamlessly integrate computer vision and artificial intelligence to work as a digital teammate alongside employees in complex environments,⁘ stated Emil Martinez, CEO of Badger Technologies. ⁘These robots can extend staff operations and produce critical data that increase efficiencies and improve shopping experiences, creating long-lasting value for our customers.⁘

The Digital Teammate is designed to help people be more productive, not to replace workers, he told  The Robot Report .

⁘It's not any different than a typewriter,⁘ Martinez said.

⁘This can help ensure more human interactions.⁘

Founded in 2002, Badger Technologies said its systems automate hazard detection, monitor inventory , and provide data to improve product availability on shelves. The AMRs also support price integrity, store profitability, and shopping experiences, said the Nicholasville, Ky.-based division of leading technology provider Jabil Inc.

Digital Teammate combines hardware and software to support a business' existing workforce with improved inventory management capabilities, planogram compliance, hazard detection, pricing accuracy, and security monitoring, said Badger Technologies. The robot is designed to complement the company's existing systems by incorporating RFID detection, enabling advertising through retail media networks, and expanding Badger's data and analytics platform.

Badger added that a mobile app provides access to prioritized tasks, data, and insights to everyone from associates on the shop floor to member of the C suite.

⁘Twelve months ago, we talked with Jabil. We already capture information and surface it through APIs, portals, and other tools, so why don't we use it?⁘ recalled Martinez. ⁘That spurred a conversation about meeting the industry where it lives.

As data has exploded, we can either infuse it into what retail users are doing, or we'd have to make them all into analysts.⁘