RetailQuant

RetailQuant provides artificial intelligence and computer vision technology to analyze customer behavior within physical retail stores. The company's platform helps retailers understand in-store journeys, measure engagement with displays, and optimize store layouts to improve performance and sales. By using existing CCTV cameras, the system anonymously tracks shoppers to provide insights on foot traffic, dwell times, and conversion rates for different areas of a store. This allows retailers to A/B test store configurations and marketing campaigns, similar to how e-commerce sites analyze online user behavior.

The business operates on a Software-as-a-Service (SaaS) model, serving brick-and-mortar retailers looking to leverage data for a competitive advantage against online sellers. The technology aims to quantify the physical shopping experience, providing actionable metrics that can lead to increased customer satisfaction and revenue. The platform integrates with existing security camera infrastructure, reducing the need for new hardware investment. RetailQuant was founded in 2012 by Agamemnon Papazoglou, Alex Ioannou, and Michael Schöning. Their goal was to bring the detailed analytics of the online world to physical retail environments, empowering store managers with data-driven decision-making tools.

Keywords: retail analytics, computer vision, in-store analytics, customer behavior analysis, foot traffic analysis, retail optimization, brick-and-mortar retail, shopper tracking, SaaS, AI in retail