For most of us, picking up a coffee cup, drinking from said coffee cup, and placing it back down on the table is an everyday capability. You and I don’t think twice about this action. But imagine trying to teach a robot to do this exact same action. Robots are really good at doing repetitive actions in a controlled environment. But when you try and teach a robot to manipulate items that have varying shapes and sizes in an environment that continuously changes from one minute to the next – you can start to understand the complexities Kindred is solving for.
Kindred believes the future of work will depend on a grasping technology that rivals a human’s grasping capabilities. And we have unlocked these robotic grasping actions through artificial intelligence. By 2025, online spending will reach a staggering $7 trillion, costing retailers $400+ billion to fulfill these orders. In the U.S. alone, e-commerce is growing double digits year over year. With this rapid growth in online spending, 2 main challenges have emerged from my meetings with retail leaders: There’s a massive shortage of people where fulfillment centers are located. Combined with low unemployment rates in these areas, operators are faced with finding the labor needed to move orders. Second, customers are demanding more and expecting faster delivery, putting massive pressure on supply chains, requiring retailers to find ways to operate 24/7 to keep up. With both of these challenges underlying the retail supply chain world, Kindred reimagined a labor intensive function within fulfillment. SORT is Kindred’s AI powered robotic putwall solution. Combining Kindred’s AI platform of vision, grasping, and placement, SORT quickly and reliably separates multi-SKU batches into individual customer orders, without ever needing a break.
Kindred is a robotics and artificial intelligence company that develops robots to solve real-world problems. Kindred’s cutting-edge technology is the foundation of a number of proprietary platforms including AutoGrasp, developed to operate robots autonomously in dynamic environments. Its team of scientists, engineers, and business operators have set a new standard for reinforcement learning for robots. Kindred’s flagship solution, SORT, is a piece-picking robot with human-like grasping capabilities that operates in retail environments to separate multi-SKU batches into customer orders. The company is co-located in San Francisco and Toronto.