Retail Store

Retail store research focuses on optimizing various aspects of the shopping experience through technological advancements. Current efforts concentrate on improving efficiency and automation using computer vision techniques (like YOLOv10 and Vision Transformers), robotic solutions for inventory management and autonomous navigation, and advanced data analytics for personalized recommendations and sales forecasting (employing models such as gradient boosted trees and recurrent neural networks). These advancements aim to enhance customer experience, reduce operational costs, and provide retailers with valuable insights into consumer behavior, ultimately impacting both the scientific understanding of retail dynamics and the practical implementation of efficient retail operations.