Customer Segmentation & Product Recommendation System built using RFM Analysis, K-Means Clustering, and Collaborative Filtering. The project analyzes e-commerce transactions to segment customers and recommend products using cosine similarity. Includes an interactive Streamlit app for real-time recommendations.