A fast-growing microfinance company sets up a new business unit
A large microlending provider in the APAC region required reboosting of their legacy software for process optimization, faster time-to-decision, and winning a larger market share due to a top-notch technological solution for end-customers.
The major reason to choose HES FinTech is their industry expertise with microlending automation in various markets. We enjoyed the demo, the estimates and the mutual work of our teams. The solution was deployed as expected.
Company’s COO
Challenge
Lending platform as a competitor advantage
Due to the growing demand for short-terms loans, the customer was looking for an opportunity to set up a new business unit in the Philippines. There was a need to back up the operational lending business with a new platform, which could provide higher performance and decrease the amount of manual operations.
Approach
Development with end-user convenience in mind
The proposed solution from HES FinTech includes an end-to-end system that automates the workflow from loan origination to servicing. The solution allows an individual to apply for a loan online, the time for approval is reduced to 60 minutes.
2,5 months
Time-to-market
60 minutes
for a loan decision
35%
revenue growth
for the first 12 months
Result
Full automation of verification and underwriting for faster loans
After the deployment of the HES Lending Platform, will be able to automate manual processes within client’s verification and underwriting workflows. The decision-making will be reduced to less than 60 minutes. The integration with payment provider allows instant money transfer and no offline procedures.
Application
Onboarding
The following subsystems were delivered:
Loan origination system. Workflow automation for client’s verification and underwriting processes
Back-office with the CRM and loan management system
their industry expertise with microlending
automation in various markets. We enjoyed the demo, the
estimates and the mutual work of our
teams. The solution was deployed as expected.