StockView uses computer vision technology running at the edge to automatically detect gaps on store shelves. It also provides retailers with powerful insights and analytics into stock-out activities at both single-store and multi-store levels.
Powered by Microsoft Azure Stack Edge, it offers a scalable, flexible, and cost-effective solution that brings the power of the Azure cloud platform down to the individual store, eliminating the need for costly and unreliable data transfers while offering a predictable and consistent TCO.
Reduce lost sales by identifying and addressing stock-outs in a timely manner
Analyze stock-out data from single or multiple stores to understand patterns and improve processes
Leverage AI models at the edge to scale across your stores in a cost-effective and predictable way
Empowering retailers to adopt a more proactive strategy
Retailers are typically challenged to adapt inventory levels to dynamic and localized market demands while lacking the ability to aggregate data across multiple stores to identify patterns and opportunities for process improvements. StockView enables retailers to analyze store-level stock-out activities while also providing various analytics capabilities to better understand stock-out patterns across multiple stores.
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