Credit Scoring
Configurable credit scoring models using your own data — repayment history, income, NDVI crop scores — surface a recommended decision at origination.
Credit Scoring in YoApp allows you to build data-driven loan decisioning without a data science team. Define the variables that matter most for your portfolio — repayment history, employment status, income level, business turnover, or NDVI crop health scores for agri-lending — weight them according to your credit policy, and the platform calculates a score and recommended decision automatically at the point of application review.
Everything you need, nothing you don't
Scorecard Builder
Build credit scorecards visually — select data points from the customer registry, application form, and repayment history; assign weights; define score bands and their recommended decisions.
Multiple Scorecards
Create different scorecards for different loan products — a salary loan scorecard uses employment data; an agri loan scorecard uses NDVI crop health and historical yield data.
Automatic Score Calculation
When an application reaches the credit review stage, the scorecard runs automatically and presents the score, the contributing factors, and the recommended decision to the approver.
Override with Reason
Approvers can override the model recommendation — approve a borderline applicant or decline a high-scoring one — but must record a reason code. All overrides are tracked and reportable.
NDVI Integration
For agricultural lending, NDVI satellite data for the applicant's farm can be pulled automatically into the scorecard — giving the model a live crop health signal at the point of decision.
Score History
Every applicant's score history is stored on their customer record — allowing the model to see how a borrower's creditworthiness has changed over multiple loan cycles.
Model Performance Reporting
Reports showing model accuracy over time — approval rates, default rates by score band, and Gini coefficient — to help you calibrate and improve your scorecard.
Champion-Challenger Testing
Run two scorecards simultaneously on a split of incoming applications to A/B test a new model against the existing one before full deployment.
Built for your team
Build and maintain evidence-based credit scoring models that reflect your portfolio's actual risk drivers — without external consultants or data scientists.
Use the model score as a structured input to the approval decision — with the key factors explained clearly, not as a black box.
Track how model accuracy evolves over time and use the performance reports to justify model updates to the credit committee or board.
Ready to activate Credit Scoring?
Sign up free and configure Credit Scoring in minutes — or book a demo and we'll walk you through it live.