Financial institutions can evaluate a potential borrower's ability and willingness to repay a loan by using credit scoring. Conventional credit scoring relies almost solely on the historical data contained in credit bureau reports.
However, there are many borrowers and businesses that do not have enough history to qualify for loans using this method of evaluation. In such cases, alternative credit scoring fills the gap by considering non-traditional data sources when assessing a candidate's creditworthiness.
Alternative credit scoring is a new way of determining the likelihood of someone defaulting on a loan. It takes into account not just a borrower's repayment history from previous loans but also considers a wide variety of other financial and behavioural indicators about the individual or business looking to borrow money.
This gives lenders a complete picture of what type of loan might be appropriate for a particular person or company that they would otherwise classify as a ‘high risk’ or ‘unscorable’ type of borrower.
While traditional credit scoring models work well for borrowers who already have an established credit profile, they do not accurately depict the financial situation of many potential borrowers.
Key limitations of traditional credit scoring systems are as follows:
Due to not being included in the credit bureau, these borrowers are commonly labelled as risky or unreportable, despite consistent financial behaviours like obtaining income and using banking services properly.
Borrower segments that are affected by traditional credit scoring systems:
Several structural factors contribute to this gap in the Indian lending ecosystem:
A significant percentage of both individuals and small businesses are not using credit cards or formal loans. This has resulted in borrowers who receive regular income and who use banks to receive their income being left out of the traditional credit scoring process, since traditionally credit bureau scores develop from the usage of these products.
A reliance on informal and self-employment as a primary source of income. Many in India’s labour force are self-employed or work for small businesses. Although their income may be steady, their income is not derived from their employer (due to the nature of being self-employed). Thus, it is considered an inconsistent income stream when it comes to traditional credit scoring.
Credit bureau scores, although they capture previous borrowing behaviour, do not accurately reflect the financial management habits of individuals and micro and small enterprises (MSMEs) in their daily lives.
It is commonplace to have regular inflows of income, and to manage their finances in a way that allows them to spend responsibly while having enough cash on hand to meet their needs. These are elements of financial behaviour that traditional credit scoring does not measure.
The use of non-traditional credit scoring is helpful in overcoming challenges. For example, alternative credit scoring provides lenders with a way to look at additional financial factors associated with an applicant’s banking activity in determining eligibility for credit.
The use of a borrower’s banking information (e.g., bank statement, employment income) provides lenders with valuable information regarding the borrower’s financial record outside of prior credit history.
By analysing income patterns, spending habits, and consistent cash flow, lenders can assess an individual’s repayment capabilities rather than just using their history of credit performance as the basis for underwriting decisions.
Through non-traditional credit scoring, lenders can serve new consumers and micro, small, and medium-sized businesses with additional financial data that allows the lender to determine credit risk using a more robust methodology based on data versus an individual’s credit history
Alternative credit scoring is a method of assessing creditworthiness using data that is not traditional but rather is continually being generated from the ongoing banking activities and transactions of a consumer.
Alternative Data Type | Data Source | What It Reveals | Why It Matters for Credit Assessment |
Bank transaction data | Bank statements and transaction history | Regularity of income, spending behaviour, and overall financial stability | Shows real-world financial activity rather than past credit usage |
Cash inflows | Credits reflected in bank accounts | Income consistency and earning patterns | Helps assess the borrower's ability to generate steady income |
Cash outflows | Debits and expense transactions | Expense management and existing financial commitments | Indicates how well a borrower manages obligations |
Spending patterns | Categorised transaction behaviour | Financial discipline and prioritisation of expenses | Reveals responsible financial behaviour over time |
Cash flow trends | Net movement of funds over a period | Stability and sustainability of finances | Supports evaluation of long-term repayment capacity |
Transaction consistency | Frequency and regularity of account activity | Predictability of financial behaviour | Provides a current and behaviour-based view of creditworthiness |
Overall account behaviour | Combined inflow and outflow analysis | Day-to-day money management practices | Complements static credit bureau data |
There are a few typical steps to how alternative commercial data is used as the basis for assessing a potential borrower’s ability to repay. They are as follows:
A borrower will not normally share their bank account history unless they explicitly give their permission for lenders to do so. In practice, however, most lenders will ask to review a borrower's transaction history on a regular basis. For example, when applying for a personal loan, a lender may request to see a borrower's bank statement for the previous 12 months.
Once a borrower gives their consent to the lender or the platform that they have chosen, they will provide the lender or platform with their bank account transaction histories and other alternative commercial data in order to help determine their ability to repay.
Once the lender or platform has received the alternative data from the borrower, the lender/ platform will then review the transaction history to determine the borrowers' income source, types of expenses, or any other expenses/obligations. The borrower’s bank account transaction history is now structured and organised into categories of income and expenses to provide the lender or platform with a clear and organised means of analysing the borrower's ability to repay.
Step 4: The analysis of financial behaviour
In this phase, analytical models will take the above structured data and look for key indicators of how the Borrower manages their finances, including:
Lenders will review the borrower's capacity to repay indebtedness using behavioural analysis. Demonstrating a stable source of income, limiting expenditures, and demonstrating positive cash flows indicate less risk to the lender from a credit perspective, even if the borrower has no historical credit.
The data collected through analysis provides lenders with actionable risk insight by indicating the strengths and weaknesses of a borrower's financial standing, enabling them to make more informed underwriting decisions.
Behavioural analysis allows lenders to make faster, more accurate decisions than relying solely on traditional bureau data. Because behavioural analysis is based on the borrower's current financial behaviour, lenders are able to make quicker and more accurate credit decisions than through the traditional bureau approach.
The credit assessments are accessed quickly. There is more transparency with respect to a borrower's finances. Thus, credit decisions are derived from real financial behaviour.
The following table addresses the differences between Alternative Credit Scoring and Credit Bureau Scoring:
Aspect | Credit Bureau Scoring | Alternative Credit Scoring |
Basis of assessment | Uses historical credit records such as past loans, credit cards, and repayment history | Uses current financial behaviour derived from bank transactions and cash flow data |
Type of data | Static and backward-looking | Dynamic, behaviour-based, and current |
Primary focus | Past repayment behaviour on formal credit products | Income stability, spending behaviour, and cash flow management |
Borrower coverage | Limited to credit-active borrowers with established credit histories | Includes credit-invisible and thin-file borrowers |
Visibility into financial behaviour | Captures only credit-related activity | Reflects real-world day-to-day financial activity |
Assessment of current financial position | Limited insight into present income and expenses | Strong insight into ongoing income and expense patterns |
Use in lending decision | Often used as a standalone scoring mechanism | Used to complement and strengthen traditional credit assessment |
Effect on credit access | Can exclude borrowers without formal credit history | Expands access to credit while maintaining risk control |
Overall perspective | Backward-looking evaluation | Behaviour-driven and current evaluation |
Alternative credit scoring provides benefits to lenders and borrowers alike by moving away from the traditional, historical means of assessing a potential borrower's creditworthiness and toward an assessment system that assesses actual behaviour when managing their finances.
Lender Benefits
Borrower Benefits
The traditional credit score is based primarily on the individual's past loans and credit card use while an alternative credit score evaluates a borrower's ability to pay back a loan using non-traditional means such as deposits, income inflow, transaction history, and expenditure patterns.
Individuals with no previous credit history, independent contractors, people employed on a per diem basis, and micro, small and medium-sized enterprises (MSMEs) use alternative lending methods to achieve their credit requirements.
The most common alternatives for lenders when assessing credit are bank transactions, cash inflows/outflows or expenditure patterns, and general behaviours within bank accounts.
When evaluating bank statements for alternative credit scoring, lenders typically look for consistency of income, patterns of expenditure, consistency in cash flow, and if applicable, other financial obligations to determine if a borrower can repay the loan.
Yes, borrowers must provide explicit permission before lenders can use their banking and financial information to evaluate their ability to repay the loan. In addition, lenders must ensure compliance with privacy requirements.
Digital transaction data is a way for a lender to see alternative indicators of financial behaviour. For example, through a borrower's digital payment history from UPI, online bill payment, or e-wallet transactions.
Alternative Credit Scoring allows lenders to offer credit to borrowers who were previously excluded from access to credit, such as Micro, Small, and Medium Enterprises (MSMEs), as well as borrowers with no formal credit history while still maintaining a risk management strategy.
The challenges for Alternative Credit Scoring in India include ensuring that the data collected is accurate, maintaining the privacy and consent of borrowers and ensuring scoring models are transparent and compliant with existing regulations.
The following types of loans can apply Alternative Credit Scoring such as personal loans, MSME loans, micro loans, home loans and in some cases even eligibility to apply for credit cards.

Credit Card:
Credit Score:
Personal Loan:
Home Loan:
Fixed Deposit:
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