Businesses aim to identify which customers are most likely to make repeat purchases to focus marketing efforts, optimize customer lifetime value, and build loyalty

Create a production-grade pipeline that accurately predicts which customers are likely to return, facilitating actionable business decisions and improvements in ROI

• Customer Purchase History Data Ingestion
• Behavioral Feature Engineering using Azure Databricks
• XGBoost Classifier Model Training
• Production Deployment via Azure Functions
• Performance Monitoring and Model Retraining

XGBoost Classifier, Azure ML, Azure Databricks, Scikit-learn

Customer Lifetime Value Optimization, Targeted Marketing Efficiency, ROI Improvement