Why?
Lenders lack data and tools to properly assess new borrowers’ affordability, offering borrowers conditions that don’t match their financial capabilities
New borrowers lack financial awareness and education to assess if the repayment terms match their expected cashflow
73% of Kenyans lack access to affordable credit to overcome cashflow needs
or are trapped in chronic indebtedness
The Challenge
Communities based lenders such as SACCOs and Chamas tend to offer more responsible and affordable loans leveraging borrowers’ social assets and trying to match loans terms to borrowers’ financial capabilities
Most SACCOs lack the data and tools to automate their credit underwriting processes
SACCOs’ credit underwriting process is labor extensive and therefore not scalable and less appealing for the younger generation
revolutionizes the traditional credit inclusion
works?
How
Collects alternative data such as: employment, financials, remittances, cashflow and objective community cohesiveness info
Aggregates the data from a large number of SACCOs, anonymizes and cleanses it
Analyzes the data in order to develop borrower’s affordability and creditworthiness
Returns a personalized borrower’s credit scoring, credit offer and financial insights for a better credit underwriting of the SACCO, based on the it’s credit policy
Member
SACCO
Bank
Advanced credit scoring as a service for SACCOs
that leverage their traditional competitive advantage
SACCOs can enjoy their automatic underwriting within 10 days and without costs
Innovation
Leverages the community’s social assets and additional data points from various sources
Unlike most credit scorings, CrediBility calculates not only the borrower’s creditworthiness but also its financial affordability, and a responsible personalized credit offer
Unique business model - SACCOs share only anonymized data but still control when they share sensitive personal data, therefore still maintain their competitive advantage
CrediBility’s robust repository enables continuous improvement of credit scoring and value propositions based on large number of SACCOs anonymized data analysis
Trustworthy and reliablerisk assessment by applying advanced data cleansing algorithms, models back-testing and external third party validation
Promotes borrowers’ financial education and credit awareness by sharing with them a transparent scoring and insights based on it