Case Study: Círculo de Crédito boosts fraud detection by 51% with Featurespace

Círculo de Crédito boosts fraud detection by 51% with Featurespace

Círculo de Crédito, a Mexican credit bureau focused on financial inclusion, faced significant challenges in fraud mitigation. Their procedures were entirely manual, relying on analysts for assessments, which was both costly and ineffective at verifying applicant intentions. They lacked specialized tools and their primary alternative was a generic score that was not focused on their specific market.

Círculo de Crédito implemented the Featurespace Platform, which uses Adaptive Behavioral Analytics and machine learning to continuously identify and adapt to evolving fraud patterns. Using Featurespace, they achieved a 51% increase in fraud detection, generating savings of over one million pesos, and found a 62% difference in fraud losses between their lowest and highest scored applications.

Círculo de Crédito