In context
In early 2025, logistics operators faced mounting pressure from e-commerce growth and rising customer expectations, making inventory accuracy a top priority. Warehouse management systems often struggled with misplaced stock and inefficiencies, prompting technology providers to integrate robotics and data analytics for real-time visibility.
What was reported
Dexory, a robotics and data intelligence firm, announced enhancements to its DexoryView platform, introducing a modular structure starting with DexoryView Integrity. This module combines autonomous robots, LiDAR, AI-powered image analysis, and advanced object identification to deliver deeper warehouse health insights.
Key features include automated inventory checks, bulk and block stack volume assessment, pick volume assessment, pallet analysis, and empty location checks. These capabilities aim to reduce manual checks and improve accuracy across various storage methods, including pickface, block, and bulk storage.
Dexory reported customer successes: Maersk reduced WMS errors by 15% and saved 6 hours daily in stock location; Yusen Logistics saved 98 hours monthly via daily wall-to-wall counts; vente-unique.com improved accuracy from 92% to 98% in days; and GWC achieved 99% inventory tracking accuracy.
Why it mattered
The move toward modular, data-driven warehouse intelligence reflects a broader industry shift from reactive to proactive inventory management. By automating checks and providing granular insights, such systems help operators cut costs, improve efficiency, and maintain accuracy—key competitive factors in modern logistics.
“By driving innovation, we enable warehouses to operate with greater precision and efficiency.”
Source: Robotics & Automation News (roboticsandautomationnews.com) · Published 2025-02-10 · “Dexory adds enhancements to warehouse intelligence software”