Categories:

Customer Segmentation for Luxury Goods using K-Means Clustering

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

Using K-Means clustering, this project segments health insurance customers by their health profiles, premium payments, and claims history. It allows insurance companies to design personalized health plans and reduce customer churn.

This project uses K-Means clustering to segment customers of luxury goods based on income, spending habits, and brand preferences. By identifying different customer segments, luxury brands can tailor their marketing strategies to appeal to high-end clientele and enhance customer engagement.