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Image Recognition for In-Store Retail Audit
The tool offers image recognition technology ideal for large in-store retailers. It can analyze and compare user-generated photos with planograms. Minimizes time spent for store audits, reduces manual labor, and improves the accuracy of collected data.
Capture and analyze in real-time
AI technology and IoT, have come a long way and offer compelling and credible value to retail manufacturers.
In-store automation combined with image recognition helps retail stakeholders to gain real-time visibility into their stores by capturing just a few images of retail shelves. Retail stakeholders can now track every item on a shelf across thousands of stores in any geo-location and time zones, at any given moment.
Image recognition platforms can be an irreplaceable tool for any retail sector ranging from consumer goods to fashion to grocery to consumer electronics.
In-store automation
With rising competition and an increase in different product categories to address niche consumer demands, manufacturers are actively adopting AI and IoT technologies inside stores. This enables them to better understand their store’s performance, understand consumer pulse and take necessary steps to improve product sales.
Some important values provided by tools are accuracy, availability of store analytics and data, space for improvement.
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