DB SCHENKER | STARTup terminal [·] hat dies direkt geteilt
Could computer vision manage our warehouses better than we do? This is one of the questions that led to a scalable solution at our collaborative innovation space, the Enterprise Lab. During manual warehouse processes, there often is a lack of information between shop floor workers and warehouse coordinators. Our answer: computer vision to bridge that gap. Pallet Vision uses artificial intelligence to track and optimize dock-to-stock cycle times. It creates transparency with which our teams can tackle bottlenecks and better streamline operations. How did we get there? We picked up the idea from our warehouse colleagues and developed a prototype, tested it out, and refined it until it qualified as a scalable solution. Once ready for piloting, the new application was installed in one of our warehouses to detect and track all pallets in the inbound area, unlocking new potential in warehouse management. Want to dive deeper into how the AI algorithm works? Read all about it on our blog: Link in the comments. #hungryforinnovation #enterpriselab #dbschenker #fraunhoferinstitutes #logistics