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StockView for Retail

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Reduce lost sales and improve customer experience

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.

Transform your business today

Contact the Intel IoT Sales Team to learn more about this solution
Learn more about StockView for Retail at www.nealanalytics.com
See StockView in action

Download solution brief

Download the solution brief PDF to learn about this solution, share with your team, and discover how to implement IoT solutions for your business needs.

View solution brief