theres so much paper work to do to get approval for a loan to buy a machine for my cafe
credit history,income,taxes, ongoing loans
Traditional credit analysis methods often rely on limited data sources this causes inefficiencies in assessing borrowers risk Limited data points like credit history and income may not provide a full picture of a borrowers financial health
Liuku: 2
Opportunity for innovation
how will my cafe survive the espresso machine is broken and i did not secure a loan
I was frustrated my loan got rejected as i did not have enough credit worthiness, i wish there was a way to be more inclusive by using other data that might help my credit evaluation
Liuku: 3
The Fintech solution
Our solution uses alternative data sources such as transactional data to provide a more comprehensive credit assessment by using multiple and diverse data points we can get a holistic view of the applicants financial health
Liuku: 4
Streamlined Loan application
applying for a loan is quick is easy through digital platforms the user friendly interface ensures a seamless application process
Liuku: 5
Alternative Data collection
we collect a variety of alternative data points to build a comprehensive profile of each applicant Diverse data sources provide deeper insights into the creditworthiness of the borrower
Liuku: 6
Advanced data processing and analysis
Our machine learning model analyse the data to deliver accurate and inclusive credit evauluations enhanced accuracy and inclusivity compared to traditional methods