Challenges: The brick-and-mortar retailer client struggled to understand customer behavior and optimize operations due to a lack of comprehensive data. Traditional methods of gathering such insights, like manual observation or surveys, were time-consuming, expensive, and limited in scope. They lacked the ability to capture the full picture of in-store activity and missed crucial details that could inform better business decisions. Specifically, the client found it difficult to accurately measure foot traffic, analyze customer demographics, optimize product placement, assess staff performance in real-time, and understand the impact of store layout on customer flow. This lack of data-driven insights lead to inefficiencies in inventory management, staffing, marketing, and overall customer experience.