ML-powered churn prediction identifying at-risk customers 30 days before cancellation with explainable insights.
5% churn rate class imbalance. CS team needed explainable predictions with recommended actions.
SMOTE + calibrated probability scoring
40+ signal feature engineering
SHAP explanations in CS dashboard
Automated intervention triggers by risk tier
Churn dropped 35%, saving $4.2M ARR. CS team proactively engages 30 days before cancellation.
Real-time revenue intelligence with predictive forecasting, cohort analysis, and anomaly detection for 200+ users.
Demand forecasting and inventory optimization across multi-warehouse e-commerce with 10K+ SKUs.
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