For decades, India\u2019s lending system relied on traditional credit bureaus like CIBIL and Experian. But millions of Indians \u2014 especially gig workers, students, and small business owners \u2014 lack formal credit history. Under digital credit scoring india<\/a>, alternate credit scoring uses non-traditional data such as mobile bills, UPI transactions, rent receipts, and digital footprints to assess repayment ability.<\/p>\n Instead of only tracking loans and EMIs, fintechs analyze how people spend, save, and earn digitally. This approach builds credit profiles for \u201cnew-to-credit\u201d users who were invisible to banks earlier.<\/p>\n According to RBI estimates, nearly 160 million Indians<\/b> remain outside the formal credit system. Alternate data is helping bridge that gap, giving lenders new ways to evaluate risk beyond conventional credit scores.<\/p>\n <\/p>\n Insight:<\/b> Credit history used to begin with a loan. Now, it can start with your phone bill or UPI transaction.<\/p>\n <\/i><\/p>\n Alternate credit scoring works by combining data from multiple digital touchpoints. Under upi transaction patterns<\/a>, fintech lenders use machine learning to evaluate consistency, reliability, and transaction behavior in real time.<\/p>\n Key data sources include:<\/b><\/p>\n By merging these signals, fintechs generate a digital risk score that can supplement or replace traditional bureau scores. Platforms like CASHe, Fibe, and KreditBee already rely on such hybrid credit models for faster underwriting.<\/p>\n <\/p>\n Tip:<\/b> Alternate credit models don\u2019t replace credit bureaus \u2014 they enhance them with real-time, behavioral insights.<\/p>\n <\/i><\/p>\nHow Fintechs Use Digital Data for Credit Decisions<\/b><\/h2>\n
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Benefits and Risks of Alternate Credit Scoring<\/b><\/h2>\n