As retailers seek to untap the value of computer vision when used for product recognition, they must first overcome a fundamental challenge: getting it to work. In this blog, we explore the significant difficulties of creating a computer-vision engine sophisticated enough to address variabilities in occlusion, positioning, lighting, and minimally differentiated products. Given its vast…
In this complimentary white paper, retail analyst firm IHL Group deeply explores the adoption, plans for, and impact of computer vision within high-volume, front-end retail environments, including Grocery, Drug Stores, Mass Merchants, Convenience Stores, and larger Specialty Hard Goods retailers like DIY and Electronics. Within the report, you’ll learn: Get your copy today!
In our last blog post, we highlighted the many technical challenges related to implementing AI computer vision in retail. Even once computer vision providers overcome the challenges outlined in our previous blog post, product managers need to consider the operational challenges that retailers face when deploying computer vision. In this blog post, we focus on…
As the retail landscape evolves, product managers are at the forefront of identifying and implementing innovative technologies that combat prevalent industry challenges around shrink, the customer experience, and the competitive threats posed by online retailers. As innovators explore different technologies and techniques to address these issues, AI computer vision is often considered for its potential…