Dexory Storage Health: Benefits Beyond Inventory Accuracy

The New Warehouse podcast recently spotlighted Dexery’s Storage Health, an AI-driven add-on to its 80-meter telescopic robot platform. Dexery, known for closing the visibility gap in large distribution centers, combines autonomous hardware with a cloud-based software stack that continuously scans every aisle. At the recent Modex trade show the solution earned the Best New Innovations award, underscoring its relevance for modern fulfillment operations. By leveraging high-resolution cameras and sensor arrays, the robot captures detailed images of racks, pallets and shrink-wrap, turning raw data into actionable insights.

Storage Health translates those images into real-time alerts for damage, mis-slotting, and hygiene issues. The AI model flags broken racking, tipped pallets, crumpled cases, hanging shrink-wrap and even empty pallets, then cross-references the findings with WMS extracts to verify location accuracy. Because the robot scans the entire warehouse daily, managers receive a continuous audit trail that can be queried historically for compliance reporting or to enforce slotting rules such as color-coded shrink-wrap zones. The platform’s modular sensor suite also allows future extensions like fire-spread detection or open-box identification.

Early adopters report a measurable reduction in time-to-detect problems and a noticeable shift in worker behavior, as staff know their aisles are constantly monitored. Faster remediation prevents safety incidents, reduces product loss, and avoids costly regulatory penalties. Customers also cite cost avoidance from fewer manual walk-downs and improved inventory accuracy, which directly supports bottom-line performance. As more warehouses feed historical image data back into the system, Dexery’s machine-learning models will become increasingly precise, positioning Storage Health as a cornerstone of proactive, data-driven warehouse management.