Meet Asha, a true inspiration from Gummidipoondi.
A 29-year-old BSc graduate, Asha faced daunting challenges when she became the primary breadwinner after her husband’s accident a year ago. Steadfast and tenacious, she rented out the truck he used to drive, started science tuitions, and took on tailoring jobs to keep her family afloat.
Fast forward to today: Asha’s husband is back on the road, and she’s ready to take the next step—purchasing a second mini-truck to grow their income. Yet, even though Asha has multiple sources of earnings, her loan applications for the second truck did not see much success. Factors like gender bias and perceived volatility in income through informal sources went against her in the underwriting process. Asha’s applications for formal loans were thus not getting approved.
So, what can ki score see, what other systems cannot ❓
By analysing a wide range of primary and alternative data, including past payment history, household income, and socio-economic factors, ki score™ provided a detailed, AI-powered risk profile. This data-driven approach reduced ambiguity, provided a risk score and an indicative credit amount, thereby enabling our lending partners to see Asha’s real potential and approve her loan.
Over the years, stories such as hers, give us the confidence in that a holistic, data-led risk-profile is an effective tool to enable right credit at the right time. For lenders, it’s a reliable tool to expand credit access without compromising risk management. ki view, the portfolio dash board will also help the firm in keeping a real-time tab across all loans.
We are happy that ki score™ could make Asha’s journey smoother and faster. She feels empowered that the loan is in her name and that she did not have to rely on her husband for the loan.
#financeforgood #sdggoals #fintechinIndia #riskcontrol
Natasha Jethanandani Vipul Sekhsaria Puneet Gupta Sucharita Mukherjee
Asst. Product Designer @Assurekit
1wCongratulations Srushti Vitalkar 🥳