This IDC TechBrief assesses the business value, adoption considerations, key metrics, critical success factors, and leading vendors of automated checkout solutions that utilize computer vision, deep learning, and sensor fusion. These solutions detect when products are taken or returned to the shelf and track them in a virtual cart, completing payment and receipt processing upon customer departure.
Leslie Hand, GVP, IDC Retail Insights, reports, "The technology can be deployed today — that there is no technical reason why projects should be delayed. The technology will be deployed in retail — for now, primarily in convenience, fuel, grocery, and drug store environments. Computer vision, sensors, and deep learning technology will become ubiquitous even sooner to support self-serve and self-checkout technologies in order to improve transaction accuracy, reduce theft, and improve customer satisfaction. Future stores will leverage several different technologies simultaneously to address the needs of all customers and the ease by which all product categories can be most easily integrated into automated checkout scenarios."