FIT Rank

FIT Rank is an innovative AI/ML based credit rank for MSMEs that’s based on finance, income, and transaction data. A ranking system that combines Goods and Services Tax (GST), bank statements, and Income Tax Returns (ITR) to create a reliable ranking for MSMEs, enabling banks and financial institutions to make confident, faster lending decisions. FIT Rank grades MSMEs on a scale of 1 to 10, with FIT Rank 1 being the least risky MSME and FIT Rank 10 being the most at-risk MSME.

OPL’s FIT Rank uses machine learning algorithms to predict the probability of an MSME, including probabilities of loss or whether there’s a chance of it becoming a non-performing asset (NPA) in the next 12 months. Also, this is the first time that a credit default predictor model based on financial, income, and trade data has been created in association with TransUnion CIBIL under the mentorship of SIDBI

Risk assessment model using machine learning assigns a multi-variate driven, unbiased, comparative score to each MSME, assessing its financial health, which is treated as the indicative of the risk involved.