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Technology Other News 16 Apr 2019 How machine learning ...

How machine learning is helping in credit profiling in new age lending platforms

DECCAN CHRONICLE
Published Apr 16, 2019, 1:59 pm IST
Updated Apr 16, 2019, 1:59 pm IST
AI may help you make credit decisions at scale but it is Machine Learning that helps you improve your algorithms.
There are few platforms which offers help in credit analysis. (Photo: Pixabay)
 There are few platforms which offers help in credit analysis. (Photo: Pixabay)

Machine learning algorithms gather knowledge at an oversize scale, consolidate this knowledge and establish patterns during this knowledge from its own disposition history. Based on these patterns it judges whether a borrower is credit worthy or not and regulate the process of loan decisioning engine. So AI may help you make credit decisions at scale but it is Machine Learning that helps you improve your algorithms and ensure that you are one step ahead of the industry in understanding credit and market patterns. There are few platforms which offer help in credit analysis.

CoinTribe

 

CoinTribe is a leading online loan disbursement platform that provides quick and easy collateral-free loans to small businesses and individuals. It is the only online lending platform which has back-tested its credit model with large banks. The marketplace model facilitates loan origination and credit assessment through CoinTribe before it is shared with the banks. PaaS enables banks and NBFCs to utilize CoinTribe’s platform for effective risk analysis and recommendations to digitally underwrite their own consumers. CoinTribe’s PaaS is equipping lenders across the country to become digital ready and enhance the efficiency of their lending process.

Aye Finance

Aye Finance is one such commercial institution built around the mission to solve these challenges of funding MSMEs and enabling their inclusion into the mainstream of the economy. Aye Finance differentiates itself by creating a technically enabled process that builds credit insights through a variety of available business and behavioural data. This effective credit appraisal coupled with the use of modern workflow automation and a small but engaged workforce is helping bridge the gap between the MSMEs and organized lending.

Satya MicroCapital

Satya MicroCapital is an NBFC-MFI serving low-income entrepreneurs in India’s rural and urban areas. The firm provides prompt, convenient, and affordable collateral-free credit to unbanked and underserved people through a strong credit assessment and centralized approval system.

Happy

Happy assess over 1000 variables about the merchant to underwrite his micro business. Its credit model is based on the merchant's level of business engagement with the partner, his behaviour towards borrowing, APIs, demographics & business trends.  If the merchant is doing healthy business with the partner, he is likely to get a big credit line from Happy Loans. Promising a unique borrowing experience to Indians, Happy Loans provides customized loan offerings to microenterprise owners to meet their specific demands. It even offers micro business loans that start at as low as Rs. 2,000 for durations as short as 30 days.

MoneyTap

MoneyTap is India's first app-based consumer credit line. The “Credit Line” means that the bank will issue a limit of up to Rs. 5 Lakh, without any collateral or charging any interest. Against this limit, using the MoneyTap app, consumers can borrow as little as Rs. 3,000 or as much as Rs. 5 Lakh and repay it as EMIs from 2 months to 3 years. The app securely connects with the banking systems to give them not only an instant approval but also a credit limit, depending on individual credit history

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