Overview
A Machine Learning guest segmentation engine designed for hospitality management. It analyzes guest booking history, stay frequency, expenditure patterns, and seasonal preferences using unsupervised clustering algorithms.
Key Features
- K-Means Clustering & RFM Analysis: Segmented customers into distinct behavioral cohorts (high-value loyalists, budget travelers, seasonal guests).
- Feature Engineering: Normalized multi-dimensional booking metrics and handled outliers with robust scaling.
- Actionable Insights: Provided data-driven recommendations for targeted marketing campaigns and dynamic room pricing.