CEVA Logistics has launched a pilot project aimed at improving inventory management processes in its warehouse operations. The company is testing a new system in Chile that combines artificial intelligence with drone technology. The AI-Driven Drone Inventory Management System was developed to address challenges in traditional inventory control methods, aiming to improve accuracy, reduce operational disruptions, and increase overall productivity. The new system uses drones to capture high-resolution images of inventory stored on high shelves, eliminating the need for manual access via lifts or floor-level rearrangement. These images are then processed using AI algorithms that recognise shelving structures, pallets, and product labels. The software automatically converts visual inputs into inventory data and compares them with warehouse records. Any discrepancies identified can trigger targeted audits, allowing staff to focus on other tasks during the process. Initial results from the pilot indicate a tenfold increase in productivity compared to traditional inventory methods, along with improved accuracy and reduced costs. The project was one of the winners in CEVA’s internal Contract Logistics Innovation Awards, which recognises practical, employee-driven solutions with potential for broader application across the company’s operations. The system is part of CEVA’s ongoing efforts to adopt technology that directly addresses operational inefficiencies. Since 2020, the company’s innovation awards programme has supported projects in two categories: “People’s Choice,” decided by employee voting, and “High Impact Innovation,” assessed by a panel of CEVA experts. Winning solutions may be implemented locally or globally, depending on their relevance and effectiveness.