How AI & Computer Vision Impacts End-to-end Inventory Tracking
Corvus Robotics, Gray AES & Honeywell
AI and computer vision are transforming end-to-end inventory tracking by accurately synchronizing system reported data and physical stock level data. In this session at ProMat 2025, hear from Corvus Robotics, Gray AES, and Honeywell to learn how these technologies can be leveraged to optimize your operational workflow, from saving time by eliminating manual cycle counts to improving inventory accuracy to avoid stock outs, overstock and the downstream costs in finance. The panelists will provide practical guidance on evaluating ROI, setting realistic deployment timelines, and distinguishing between what’s real and what’s hype in the AI landscape.
Through real-world examples and expert insights, the panelists explore how organizations are utilizing new, accurate inventory data to reduce stock and fulfillment discrepancies, save on labor and shipping costs, and optimize slot occupancy and warehouse space. You will also learn how exactly these technologies have been implemented, what challenges you may encounter, and what to consider when evaluating providers.
Key Takeaways
1. Leverage AI and computer vision to improve inventory management. How the technologies fit real operational workflows, and where they replace manual cycle counting.
2. Evaluate your ROI, timeline, and which key issues can and cannot be solved. Practical guidance on building the business case and setting realistic deployment expectations.
3. Understand what’s real, what’s hype, and what’s possible in this AI hype cycle. How to assess vendor claims and separate demonstrated capability from projection.
Panelists
Jackie Wu, Chief Executive Officer, Corvus Robotics
Greg Powers, Gray AES
Steph Hobley-Lloyd, Honeywell
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