Computer vision has vast potential in the retail space. At 7-Eleven, we are working on fast frictionless checkout applications to better serve customers. These solutions range from faster checkout systems to fully automated cashierless stores. A key goal for such solutions is to ensure high accuracy and consistent customer experience across thousands of stores. In this talk, we will focus on how we have built scalable item recognition models and algorithms that work on tens of thousands of products. We will discuss the challenges we face in building practical, edge-based solutions—such as the need to recognize thousands of items with varying packaging and sizes, and the need to deploy systems on constrained hardware—and we’ll explain the techniques we’ve employed to overcome these challenges.