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Customer Segmentation for Fast Food Chains using K-Means Clustering

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

Customer Segmentation for Fast Food Chains using K-Means Clustering In this project, K-Means clustering is used to segment customers of fast food chains. The segmentation is based on factors such as purchase patterns, meal preferences, and visit frequency, allowing the chain to better understand customer needs and customize their marketing campaigns.

This project uses K-Means clustering to segment fast food customers based on purchase history, visit frequency, and order size. The system identifies customer segments that can be targeted with customized promotions, loyalty programs, and special offers to drive customer retention.