Customer Segmentation in Grocery Retail using K-Means Clustering

This project applies K-Means clustering to segment grocery store customers based on purchasing behavior, frequency of visits, and product preferences. The system identifies distinct customer groups, which help retailers personalize marketing campaigns, optimize product offerings, and improve customer loyalty.