MobiKwik targets ₹300 crore more in quarterly loan disbursals through AI
MobiKwik is deploying AI models to identify lending drop-offs and tailor offers for 96 million potential borrowers. The company reported Q1FY27 net profit of ₹7.61 crore, against a ₹41.92 crore loss a year earlier, alongside 50% GMV growth.
What happened
Mobikwik · MobiKwik is using AI models to identify lending drop-offs and target 96 million users with tailored offers, aiming to add ₹300 crore in loan
Key facts
- ₹300 crore additional loan disbursals per quarter expected
- 96 million users identified as potential loan customers
- Q1FY27 consolidated net profit ₹7.61 crore versus ₹41.92 crore loss in Q1FY26
- Q1FY27 revenue from operations ₹281.41 crore, up 3.72% YoY
- Q1FY27 GMV ₹58,700 crore, up 50% YoY
- Q1FY27 total expenditure ₹273.37 crore, down 12.6% YoY
Why this matters
MobiKwik’s access to 96 million potential borrowers strengthens its appeal as a distribution and underwriting-data partner for banks, NBFCs and embedded-credit platforms.
What to watch
- Quarterly lending disbursal growth versus the additional ₹300 crore target.
- Credit-loss, delinquency, collection-efficiency, and take-rate disclosures.
- Number and quality of active lending partners and any changes in their underwriting appetite.
- Conversion rates from AI-targeted campaigns versus non-targeted lending funnels.
- RBI or regulatory developments affecting digital lending, data use, KYC, and loan-service-provider models.
- Whether GMV growth and profitability continue alongside lending expansion.
- Prioritize AI models for borrowers who abandon KYC, mandate setup, or final loan acceptance.
- Expand co-lending and NBFC/bank partnerships to ensure funding capacity for higher originations.
- Use risk-based pricing and tighter fraud controls alongside offer personalization.
- Track cohort-level repayment behavior before broadening eligibility to lower-credit-quality users.
- Cross-sell payments, insurance, and wallet products to newly active borrowers.