Predictive Engine

Know which accounts will slip—and when—before traditional metrics catch on.

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How It Works

1

Data Integration

Connect your loan management system, payment gateways, and external data sources. We handle the rest.

2

Feature Engineering

Our models analyze hundreds of signals: payment patterns, behavioral shifts, macroeconomic indicators, and more.

3

ML Prediction

Gradient boosting and neural networks generate stress propensity scores and timeline predictions.

4

Explainability

Every prediction comes with clear reasoning. SHAP values show which factors drive the risk score.

Key Features

Timeline Prediction

Forecast when an account is likely to become NPA—6 to 12 months in advance. Plan interventions proactively.

Stress Propensity Score

Account-level risk scores from 0-100. Prioritize your collections and recovery efforts efficiently.

Behavioral Analytics

Detect subtle changes in payment behavior, engagement patterns, and transaction velocity.

Model Monitoring

Continuous model performance tracking. Automatic retraining ensures accuracy over time.

Use Cases

Retail Lending

Identify personal loan and credit card accounts at risk. Intervene with restructuring offers before default.

Vehicle Finance

Predict which auto loans are likely to slip. Optimize repossession timing and recovery strategies.

MSME Lending

Monitor business loan portfolios for early signs of cash flow stress. Act before businesses fail.

See the Predictive Engine in Action

Request a walkthrough and see how we can transform your portfolio intelligence.

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