It also enables customizable AI models to classify individual packaged goods with tags including their brand, type, size, and packaging.

Product recognition allows retailers to monitor shelf inventory using pre-built AI model to identify and recognize various products, as well as gaps. Traditionally, this work has relied on manual methods and required human intervention, such as time-consuming and error-prone store audits. The placement of each item is a critical factor that can make or break the success of your product. Customer experience and operational efficiency are two areas where good shelf analysis is especially important. Shelf analysis involves the examination and evaluation of retail shelves to optimize product placement, monitor stock levels, and improve overall store performance. In the retail world, shelves are pivotal to product visibility and consumer engagement.