Big Idea Session: Multi-Modal AI in Retail & QSR with AMD, Wobot, Supermicro

Core Technology & Solution - The company transforms video into actionable operational insights by leveraging camera feeds and point-of-sales data, offering over 100 pre-built templates [1] - The company provides solutions to make any camera smarter, utilizing edge devices manufactured by Supermicro, which bring data center server power to retail locations and warehouses with AI acceleration [2] - The company emphasizes the use of physical AI or multimodal AI, specifically computer vision, to address retail challenges and improve insights by combining video data with point-of-sales information [3] Retail Applications & Benefits - In drive-through scenarios, the company's solution analyzes video to track customer journeys, identify bottlenecks, and integrate point-of-sales data to understand wait times in the context of order size [4][5] - The company's technology enhances order accuracy in the food sector by comparing video data with order details before fulfillment [5] - The company's solution aids in loss prevention by using vision context to verify rebates and fund transactions, reducing exceptions [5][6] Edge Computing & Deployment - The company offers readily available solutions that can be deployed through system integrators, emphasizing edge processing for computer vision use cases due to compliance (GDPR, California regulations) and bandwidth concerns [7][8] - Retailers seek complete solutions that offer a return on investment (ROI) and a favorable total cost of ownership (TCO) when investing in technologies like this [9] Future Trends & Flexibility - The company highlights the importance of flexible platforms for physical and multimodal AI that enable experimentation and efficiency improvements through low-code approaches [10]