U GRO Capital, a BSE listed, small business lending fintech platform, today announced that it has filed an application with the Indian Patent Office for its distinguished methods and systems for modelling scorecards. This has allowed the company to penetrate in a highly unstructured segment, which is driven by physical processes. The model tackles the unavailability of appropriate MSME database, by utilizing its unique classification technique leveraging the proprietary knowledge base and strength of statistical models.
The distinctive underwriting model generates credit score cards customized to suit the peculiarities and nuances of varied business enterprises. This is done by analysing the historical loan delinquency patterns and cash flow within each selected business segment. The model’s utility is not restricted to businesses, as it enables effective underwriting of individual borrowers, as well. Further, it facilitates trade financing by providing assessment of downstream and upstream counterparties. Also, it provides a basis for revenue sharing in co-lending arrangements and helps estimate first loss guarantees in securitization of transactions by providing an assessment of the underlying pool.
U GRO Capital has been using this model since inception in 2018. The company has made disbursals of INR 1,700 Cr in the form of secured and unsecured loans. This model is tested to predict superior predictable defaults and improve the GNPA and NNPA levels in comparison to the traditional underwriting model and also improve the bureau defined predictable defaults of different score level. Going forward, the company aims to target 250,000 SME and MSMEs and extend loans amounting to Rs. 30,000+ crore in the coming 4 financial years.
The proprietary statistical scorecards for assessment at various stages have been developed in consultations with CRIF and CRISIL market experts. The model is able to approve credit for business enterprises within minutes, which otherwise would have taken days or weeks. Furthermore, it allows scope for progressive refinement and upgradation such that a newly identified data parameter/ variable can be integrated to derive more accurate output. The distinguished model combined with the organization’s technological capabilities in artificial intelligence and machine learning, has rendered the credit access journey in quick and highly convenient manner.