In this week’s post, we talk about UltronAI’s ability to dramatically streamline the operational cycle of retail computer vision. There are ways to improve nearly every process in the world. Such improvements might be brought on simply by smart ideas and new perspectives, and other times, they involve the development or maturity of innovations that…
In the first several posts of our series, we explored both the technical challenges involved in implementing artificial intelligence (AI) computer vision in retail, the operational challenges retailers face, the complexities of computer vision-based product recognition, product enrollment and scaling, and cost considerations for deployment and the operational cycle. In this, the final post of…
This week, we break down the operational cycle of a standard AI computer vision system and how design and architectural decisions impact ongoing operational costs associated with deploying and scaling AI computer vision across a retailer’s portfolio of stores. In our last blog post, we explored the hardware, software, and development costs of production-ready computer…
In this week’s post, we break down some of the computer vision deployment costs associated with developing a scalable, production-ready solutions in retail and how AI system design can impact total costs. This is the latest in our series of blog posts that explore the challenges in deploying and operationalizing computer vision for product recognition…
In the first two posts of our series, we explored both the technical challenges involved in implementing artificial intelligence (AI) computer vision in retail, as well as the operational challenges retailers face. In this post, we’ll look more closely at the issues that can crop up during product enrollment (both initial and ongoing updates), expanding…
As self-checkout faces a reckoning, advancements in computer vision can fuel the next generation of solutions and help address core self-checkout issues around shrink reduction and customer experience. The history of self-checkout First introduced in the mid-1980s, self-checkout has frequently been heralded as the future of retail. Yet, even as self-checkout became increasingly more common…
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…
This week, the retail analyst firm IHL Group released a new report, “Are We There Yet? How Computer Vision Will Shape the Future of Retail,” which examines the state of computer vision adoption, plans, and impact within “retail environments with high-volume, front-end checkouts such as Grocery, Drug, Mass Merchants, Convenience Stores, and larger Specialty Hard…
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…