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RecoshelfProfile set up by Edverise AI
Empty shelves and misplaced items lead to poor sales. To address this issue, we utilize cameras and IoT sensors to monitor shelf conditions, identify products, and detect items that are out of stock. Our system achieves over 90% product recognition accuracy using basic cameras, often matching or sur
Highlights
$5,000+
Min Project Size
< $25/hr
Avg Hourly Rate
2-9
Employees
Tallinn, Harju, Ee
Services Provided
30% ERP Consulting and SI
70% Machine Learning Model Development
AI Summary
“Recoshelf leverages cameras and IoT sensors to monitor retail shelf conditions, improve stock accuracy, and provide real-time insights, enhancing sales, reducing waste, and optimizing store operations.”
