Customer Behavior

Understanding customer behavior is crucial for optimizing business strategies across various sectors, aiming to predict actions, personalize experiences, and improve customer satisfaction. Current research heavily utilizes machine learning, employing models like LSTMs, GPT architectures, and LightGBM to analyze diverse data sources, including purchase histories, in-store trajectories, and online interactions, to achieve these goals. This research significantly impacts businesses by enabling more effective targeted marketing, personalized recommendations, and improved resource allocation, while also advancing the development and application of sophisticated data analysis techniques within the broader scientific community.