Retail Analytics

Retail analytics leverages data-driven insights to optimize various aspects of retail operations, from inventory management and pricing strategies to customer engagement and marketing campaigns. Current research focuses on applying advanced machine learning techniques, including GRU models for demand forecasting and YOLO-based object detection coupled with tracking algorithms for customer behavior analysis, often using synthetic data to address privacy concerns and evaluate model performance. These advancements significantly improve efficiency, personalize customer experiences, and provide actionable intelligence for retailers, impacting both business profitability and the development of more sophisticated analytical methods.