Focal Systems has developed an AI-driven retail automation platform that uses deep learning technology to detect real-time out of stocks, analyze in-store shopping behavior, and offer features such as in-store location-based advertising, product locator, and auto-checkout. The platform helps retailers improve product availability, increase customer satisfaction, and cut shelf scanning costs in half by switching from manual to automated shelf scans. Focal Systems' low-cost, discrete shelf cameras, sophisticated computer vision model, and cloud-based machine learning platform provide real-time insight into on-shelf product availability, allowing retailers to repurpose store personnel to focus on customer experience and other higher value tasks. The platform integrates with existing retail systems and applications to enable additional cost savings and insights from its real-time product availability and analysis. Focal Systems' shelf cams are deployed at scale with proven results at several major global retailers and every day process more than 10M shelf scan images.