![]() ![]() In a store, product recognition process is as follows: merchandisers take photos of products on the shelf. This is an innovative ecosystem based on computer vision to automate merchandising processes: create planograms, compare layouts against planograms and generate analytics. The Goods Checker service, which is rapidly developing in the European market, allows streamlining the planogram compliance process. Image recognition through computer vision-powered IT solutions helps improve planogram compliance. This percentage is lost profit for others. At the same time, full planogram compliance resulted in almost 8% sales lift. This means that companies do not know how their product is actually displayed. Indeed, according to statistics, 80% of decisions to purchase a product are made by people standing in front of a shelf in a store.Īmongst top grocery retailers, planogram compliance typically falls below 50%. It determines whether the buyer will notice a particular product among all the goods on the shelf. Planogram is a significant contributor to merchandising. Experts from IBA Group spoke about computer vision benefits for the companies through the example of merchandising processes automation: creating and checking planograms, generating analytics. ![]() experts from IBA Group conclude.Computer vision and artificial intelligence are innovations that businesses are often skeptical about. ![]()
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