Short working:

Our custom-trained computer vision model is able to accurately detect and display expected items from images with more than 99% accuracy. This technology has numerous applications in supermarkets, allowing for real-time monitoring and prediction of stock levels, shelf or rack status, and product demand.

Benefits of Computer Vision in Supermarkets:

Real-time stock monitoring: Our computer vision model can detect the number of items remaining on shelves or racks, providing up-to-date information about stock levels.

Shelf or rack status: The model can also provide information about the status of shelves or racks, such as whether they are full, partially full, or empty.

Stock predictions: By analyzing historical data, our computer vision model can predict future stock levels and demand for specific products.

Datewise prediction analysis: Our model can also provide datewise prediction analysis of a particular product, allowing for more accurate forecasting and planning.

Improved customer satisfaction: By providing accurate and up-to-date information about stock levels and product availability, our computer vision model can help improve customer satisfaction.

Reduced waste and costs: By accurately predicting demand and stock levels, our computer vision model can help reduce waste and costs associated with overstocking or understocking products.