Optimizing payments with machine learning

Introduced machine learning, specifically a gradient boosted ranking model, to optimize payment renewal attempts. The model predicts the best times to charge customers during subscription renewals and retries, moving away from static, rule-based logic. This aims to increase payment charge success rates, reduce collection time, and minimize involuntary churn. The system was integrated with the ML Platform's Predict Service for low-latency predictions.