Using Machine Learning to Reduce Payment Failures on Subscription Platforms
Machine learning helps most when recurring-payment failures are probabilistic, not deterministic. If a charge might succeed later because timing, issuer behavior, or customer segment matters, model-driven retry timing can improve recovery. If the failure is deterministic, such as an invalid API call, a blocked payment, or a hard decline that cannot be fixed right away, rules and process fixes usually do more good.
