Dexory has introduced an updated autonomous warehouse robot alongside a new software capability called Storage Health, expanding the scope of data collection and monitoring available to warehouse operators. The additions are designed to increase operational visibility by generating more detailed and frequent information about storage conditions and inventory status.
The updated robot builds on deployments that have been in operation since 2023, during which Dexory’s systems have been used in active warehouse environments. The new design is intended to move more quickly through facilities and collect a larger volume of data across a wider range of storage configurations. It operates alongside warehouse staff and equipment and continuously uploads information to the company’s digital twin platform, providing a live representation of warehouse conditions. The robot’s scanning range has been extended to up to 60 feet from 40 feet previously, allowing it to capture data from higher and deeper storage locations, including double-deep racking, block storage, and non-racked areas.
According to Richard Williams, the system is intended to reduce discrepancies between recorded inventory data and physical conditions on the warehouse floor. “By continuously capturing accurate data across every storage type and operational area, our next-generation solution gives customers a trusted, real-time foundation for decision-making,” Williams said. He added that this approach allows warehouse decisions to be based on observed conditions rather than assumptions.
The robot is built with a modular architecture that allows additional functions, such as pick-face analysis or temperature monitoring, to be added without replacing existing hardware. Dexory said customers using its current systems have reported reductions in audit time of up to 80 percent and throughput improvements of around 20 percent, figures the company expects to extend to more complex warehouse layouts with the updated platform.
Alongside the hardware update, Dexory has released Storage Health, a software feature that applies computer vision and artificial intelligence to images captured during routine scans. The system runs continuously and is designed to identify conditions that may present operational, safety, or inventory risks. These include damaged racking or pallets, unstable loads, hanging shrink wrap, empty pallets, and damaged goods that may affect stock accuracy or workplace safety.
Chris Coote said the feature is intended to address areas of warehouses that are difficult to inspect manually. “The biggest risks often sit higher up or deeper in the racks where manual checks are infrequent and ineffective,” Coote said, adding that earlier detection can help teams address issues before they lead to incidents, injuries, or compliance concerns.
