Prescriptive Analytics Engine for Telecom Churn
Most churn systems stop at prediction. Aegis adds explanation, counterfactual prescription, financial value, causal treatment-effect estimation, and backtesting.
Each stage builds on the last. From raw probability to actionable, financially-validated prescriptions.
Tested against real-world datasets with rigorous validation.
Six specialized modules working as a unified pipeline.
Calibrated churn prediction with Platt scaling. Handles class imbalance, missing values, and high-cardinality categoricals out of the box.
Model interpretation and causal analysis via DoWhy. Global and local feature importance with interaction effects.
Actionable prescriptions with business constraints. Generates minimal-change interventions that respect feasibility bounds.
NPV-style decisioning with WACC discounting. Converts churn probability into dollar-denominated retention ROI.
Treatment effect estimation and sleeping dog detection. Identifies customers who would churn because of intervention.
PSI drift monitoring and temporal validation. Walk-forward testing ensures model stability across time periods.
See how Aegis transforms churn analytics from reactive dashboards to prescriptive, financially-validated action plans.