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StockView for Healthcare

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Reduce medical supplies stock-out with AI-powered detection

StockView helps providers reduce the duration of medical supply out-of-stock and generate analytics-driven supply-chain insights by automatically detecting missing items on shelves across locations. StockView uses customized vision AI models running locally in a hospital, or any other medical facility, at the edge of the cloud to visually detect missing products. It then enables providers to build powerful analytics across locations, regardless of the quality of their internet access or the number of supply closet locations

Reduce out of stock duration

With StockView, customers can immediately detect out of stock items and ensure appropriate actions are taken

Build powerful analytics

Providers can analyze stockout data over time and across locations and generate meaningful analytics models

Scale cost effectively

StockView leverages the scalable Azure Stack Edge device

Consolidate data across supply closets to improve supply chain

Pharmacy administrators and hospital managers can consolidate data from multiple supply closets to optimize restocking based on each department’s unique usage patterns. Using consolidated data across locations, data can also help spot trends and reduce system-wide out-of-stock incidents by tuning the location or group-level supply chain. Over time, when enough historical data is available, granular predictive models can also be built to help prevent out-of-stock incidents.

Transform your business today

Contact the Intel IoT Sales Team to learn more about this solution

Learn more about StockView for Healthcare 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