Credit Scoring

Credit Scoring image


Mavenir’s Credit Scoring module uses Machine Learning to provide signals/triggers to monitor users, focused on finding the correlation between customer connection details, smartphone behavior, and credit risk. Insights & signals can include:

  • Identify good credit scores based on the geolocation of the entire base
  • Use external credit check systems to enhance scores
  • Handset types: iPhone users tend to have lower late-payment rates than Android phone users
  • Making many changes when filling in the application
  • Multiple applications from a single Wi-Fi hot spot
  • The responsible borrower may keep their phone topped up
  • Individual whose calls to others are returned may have stronger social connections and similar credit scores

Enables mobile operators to:

  • Monetize services and increase revenues for unbanked subscribers
  • Identify ‘good’ customers based on Machine Learning models built from specific Operator data

Subscribe to Our Newsletter

Be the first to hear about the latest innovations, industry firsts, and stay up-to-date with Mavenir.