Warehouses have long been the center of some of the most sophisticated information technology. RFID tags and readers, warehouse control systems, automated conveyors, voice picking and mobile devices are all commonly used to move goods and manage inventory with greater efficiency and precision. Nowadays, the emphasis is on adding more autonomous technology that takes over some of the drudgery and risk from warehouse workers. Robots and artificial intelligence play an increasingly important role in warehouse operations.    One company on the leading edge is London-based Dexory, which makes what it calls a warehouse intelligence platform that combines stock-scanning robots, analytics software, AI and digital twins. The vendor claims the system provides 99.9% inventory accuracy and significantly improves warehouse efficiency. In this podcast, Dexory CEO Andrei Danescu explains how the platform improves warehouse visibility, automation and efficiency, as well as its broader implications for supply chain management and logistics. Before co-founding Dexory (previously BotsAndUs) in 2015, Danescu held engineering roles in the automotive industry. He developed autonomous vehicle technology for Jaguar Land Rover and was a trackside systems engineer for a Formula One racing team, responsible for sensors, telemetry systems, data analytics and other technologies. Other topics discussed in the podcast include: how the COVID-19 pandemic changed logistics whether AI and robotics threaten the jobs of warehouse workers the potential of warehouse data intelligence to further the long-sought goal of end-to-end supply chain visibility Host: David Essex, Industry Editor, TechTarget