Shelf Image Recognition
Streamline your planogram compliance audit with AI powered image recognition in Quant.
Ensuring optimal product placement on shelves is key to maximizing sales and improving the customer experience in retail. That is why you always want to make sure that the planograms you have carefully designed are actually being used by your stores and that the products are correctly placed.
Yet, monitoring planogram implementation manually at larger scale is an extremely time-consuming and error-prone task. Manual planogram compliance check requires your employees to compare a large number of photos of the implementation against planograms while looking for inconsistencies. In the case of missing products, it is also necessary to verify whether the product is out of stock or whether the planogram simply has not been executed properly by the staff.
Our innovative AI-powered product image recognition technology allows you to swiftly and effortlessly identify potential issues. Just provide a photo and Quant automatically evaluates the compliance rate, providing you with a clear and actionable view of your planogram implementation.
How it works
Shelf image recognition works best if you share planograms directly in Quant using a device with a camera, such as a smart phone or tablet. The implementation photo is then automatically matched with the corresponding planogram, streamlining the process and saving your valuable time.
Our advanced AI then analyzes the uploaded photos and provides immediate feedback on the quality of the implementation.
If a position shows as empty, Quant automatically distinguishes whether the store has the corresponding product in stock or not.
Your HQ has a list of all the implementation images across all your stores, ranked by quality, so you can efficiently focus on solving the most pressing issues.