Customer Segmentation Using Clustering

This paper introduces a Flask-based customer segmentation tool employing clustering techniques to categorize customers by purchasing behaviour.Advanced algorithms and insightful graphs facilitate user-friendly interaction, enabling businesses to tailor marketing strategies and optimize resource allocation.By emphasizing recency, frequency, and monetary aspects, the tool provides actionable insights for informed decision-making.This innovation enhances customer satisfaction and operational efficiency by efficiently segmenting customers and customizing strategies to diverse needs.Through the amalgamation of data analysis, clustering techniques, and a user-friendly interface, businesses can navigate the complexities of customer relationship management, ultimately improving customer satisfaction and optimizing resource utilization.