Analysing the Customer Behaviour using Reinforcement Learning for Business Development

This study focuses on leveraging reinforcement learning techniques for analyzing customer behavior to drive business development strategies. In the modern competitive landscape, understanding and predicting customer preferences and actions are crucial for sustaining growth. Reinforcement learning, a branch of machine learning, offers a unique approach to model customer interactions and optimize decision-making processes. This paper explores the integration of reinforcement learning algorithms into business environments to create adaptive strategies that respond to customer behavior in real-time. Through a synthesis of existing literature and empirical research, the study aims to showcase the effectiveness of reinforcement learning as a tool for understanding and leveraging customer behavior dynamics in a rapidly evolving business landscape.