E-commerce Customer Segmentation with RFM Analysis and K-Means

This project combines Recency, Frequency, and Monetary (RFM) analysis with K-Means clustering to segment e-commerce customers. By analyzing how recently customers made a purchase, how often they buy, and how much they spend, the system divides customers into segments. These segments can be used for targeted marketing campaigns and improving customer retention.