Customer Churn Prediction System

End-to-end predictive models using XGBoost and logistic regression achieving 87% accuracy in churn detection

Customer Information
Prediction Results
Enter customer information and click "Predict Churn Risk" to see AI-powered predictions
Technical Implementation & Business Impact

Machine Learning Models

  • • XGBoost ensemble classifier
  • • Logistic regression baseline
  • • Feature engineering from user behavior
  • • Hyperparameter optimization

Automated Monitoring

  • • Real-time prediction dashboard
  • • Automated alert system
  • • Weekly performance reports
  • • Model drift detection

Business Results

  • • 18% churn reduction
  • • Proactive retention strategies
  • • Improved customer lifetime value
  • • Data-driven decision making
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