New AI technology will make the world’s largest fleet of industrial mobile robots smarter and more efficient. (View Highlight)
Called DeepFleet, this AI technology will coordinate the movement of robots across our fulfillment network, improving the travel time of our robotic fleet by 10% and enabling us to deliver packages to customers faster and at lower costs. (View Highlight)
Think of DeepFleet as an intelligent traffic management system for a city filled with cars moving through congested streets. Just as a smart traffic system could reduce wait times and create better routes for drivers, DeepFleet coordinates our robots’ movements to optimize how they navigate our fulfillment centers. This means less congestion, more efficient paths, and faster processing of customer orders. (View Highlight)
DeepFleet represents our practical approach to AI innovation. Rather than pursuing technology for its own sake, we’re focused on solving real problems. By reducing robot travel time by 10%, we’re not just improving efficiency—we’re creating tangible benefits: faster delivery times, lower operational costs, and reduced energy usage. This is how we’re making generative AI work in the real world, delivering concrete value for both employees and customers. What makes our approach to robotics and AI unique is how we combine innovation with real-world impact. We manufacture our robots in the United States, working with local suppliers while deploying globally. This allows us to maintain high quality standards while creating a valuable feedback loop among our designers, manufacturing teams, and front-line employees. (View Highlight)
