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Retail Customer Segmentation with K-Means and Market Basket Analysis

Original price was: ₹ 7,500.00.Current price is: ₹ 6,000.00.

This project combines demographic data with K-Means clustering to segment customers. By considering factors like age, location, and income, the model helps businesses optimize their marketing and sales strategies.

This project applies K-Means clustering to retail customer segmentation and incorporates market basket analysis to identify product purchasing patterns. The system clusters customers based on their buying behavior and identifies the most popular product combinations. These insights help retailers optimize inventory, improve product placements, and design targeted promotions.