SaaS Customer Churn Prediction Machine Learning Pipeline

Develop a comprehensive Python machine learning pipeline to predict customer churn for a SaaS platform using pandas, scikit-learn, and advanced feature engineering. The model should incorporate historical customer interaction data, usage metrics, and subscription patterns. Create a modular script that can handle real-time prediction updates, with explicit model performance tracking, interpretability using SHAP values, and automated retraining capabilities. Include robust error handling for data inconsistencies and generate a detailed performance report with precision, recall, and customer segmentation insights.