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Eligibility is key. You can’t buy loan, you have to be eligible to get it.
- A better underwriting solution for MSMEs (with AI?)
- Can we make more people eligible?
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Further discussions with the founder of Aagey (Tier 1, established state level DSA)
- Guesstimate: they’re doing ~100M$ disbursement annually as a DSA in Bangalore
- Over many years they have built a template to match loan seeker to financial institute- Using this, they increased their fulfilment rate (loan approval rate) from average 30% to 80%.
- A: They use 12 params like type of property, size, etc. to classify the property
- B: Similarly classify the individual
- Have about 150k combinations based on different params
- Based on overlap of A & B- they get a shortlist of banks / NBFCs that will give them loan
- Even the one’s who are giving the loan, they would offer different LTVs & Tenures
- Higher LTV, higher tenure → higher loan disbursement
- Based on this, they sort the banks who find the customer eligible for loan. And then lay these options (~2 to 5) in front of customer to choose from. Then apply.
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Being large = more margin
- 0.5% to 1 % to 1.5% as you go from beginner to state player (1 bank 1-2M$ per month) to national player (10M$ per month per bank)
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Mortgage vs real estate
- Focusing on mortgages more for now. The process is more structured, easier to scale.
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Motilal Oswal vs Zerodha :: Andromeda vs LoanVaala.co (ours- we bought this domain after testing some names for memorability)
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Does this mean that we have a vast opportunity space to build a mortgage product in India as the target is 50%+ in other countries? Or it is saturated already as the market is currently developing & 10% is good enough? Should we even try to increase mortgage penetration- does it create real value? Or it's just a way to make money?