RevShield AI is an intelligent revenue recovery platform designed to identify failed and at-risk payments, estimate their recovery potential, prioritize recovery opportunities, and recommend the most appropriate recovery action.
It combines machine learning, rule-based safety controls, Razorpay integration, automated recovery workflows, and a real-time dashboard into a single revenue operations platform.
Failed payments create significant revenue leakage for businesses.
Traditional payment systems mainly report that a transaction failed, but they do not answer:
- Which failed payments are worth recovering?
- How likely is each payment to be recovered?
- How much revenue could potentially be recovered?
- Should the payment be retried, reminded, or manually reviewed?
- Which transactions require immediate attention?
RevShield AI is designed to answer these questions automatically.
RevShield AI analyzes payment and customer-related transaction features using a machine learning model to estimate:
Recovery Probability → Expected Recovery Value → Recommended Recovery Action
The platform then applies safety rules before deciding whether the action can happen automatically.
| Recovery Probability | Recommended Action |
|---|---|
| ≥ 80% | Retry Payment |
| 50–79% | Send Payment Reminder |
| < 50% | Manual Review |
| Condition | Decision |
|---|---|
| 3+ payment attempts | Manual Review |
| Hard decline | Manual Review |
| Retry ≤ ₹5,000 | Automatic |
| Retry > ₹5,000 | Merchant Approval Required |
RevShield AI uses a supervised machine learning model trained on transaction-level payment data.
The model considers features including:
- Transaction amount
- Payment method
- Failure type
- Merchant category
- Location type
- Attempt number
- Previous success rate
- Previous failure count
- Customer tenure
- Days since last success
- Hour of day
- Day of week
| Metric | Result |
|---|---|
| Accuracy | 62.75% |
| Precision | 63.56% |
| Recall | 61.99% |
| F1 Score | 62.77% |
| ROC-AUC | 67.29% |
The model produces a recovery probability that is converted into an expected recovery value:
Expected Recovery = Transaction Amount × Recovery Probability
RevShield AI integrates with Razorpay Test Mode to demonstrate real payment intelligence workflows.
Razorpay Payment
↓
Payment Failure
↓
Razorpay Webhook
↓
RevShield AI
↓
Feature Processing
↓
ML Recovery Prediction
↓
Recovery Decision Engine
↓
Recovery Action
↓
Dashboard + Recovery History