Unsupervised clustering based on LRFMC Model to identify the customer segmentation in aviation company, analyze characteristics of different clusters and suggest business strategy to customer categories of different values.
The goals of this project are to cluster flight customers and make recommendation how to deal with each cluster Using LRFMC clustering method
Customer segmentation on airline loyalty data using LRFMC model and K-Means clustering to identify 5 distinct groups based on customer transaction behavior and provide data-driven marketing strategy recommendations.
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