↑ 90%
More than 90% in credit risk scoring accuracy compared to traditional approach
↑ 20%
Over 20% increase in the approval rate of creditworthy applicants
> 65% ↓
Reduce more than 65% in manual involvement in credit evaluation
Distinguish Clearly Between The Good, The Bad, & The “Middle”
Streamline Credit Approval: Advanced Risk Assessments
Utilise hybrid adaptive models for more accurate credit scoring. Instantly approve low-risk customers and reject high-risk ones to enhance operational efficiency and minimise non-performing loans.
Boost Revenue: Tailored Pricing for Medium Risk Customers
Implement targeted pricing strategies for medium risk customers by adjusting loan terms, amounts, and interest rates to optimise revenue without losing potential due to credit concerns.
Enhance Customer Insights: Alternative Data
Improve credit scoring accuracy with AI-powered data acquisition. Leverage external public data and additional data points, like digital footprints, to gain a deeper understanding of your customers and refine credit assessments.
