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The financial institution has been playing a very proactive role in the growth of the economy of India. They have their branches all over India with services like wealth management, loans, Internet banking and so much more. They are a professionally managed organisation with brand recognition and good distribution reach.
Inefficient processing of the loans disbursed resulted in higher delinquency. Decisions were not easy for customers who borderline high risk. Hence, they wanted to automate the process wherein they could identify high-risk loans and determine the risk profile of the individual for specific actions to be taken then.
Once the risk profile of the individual is identified , the system would then call out the risk score . The risk score would be on the basis of loan disbursement.
Configuration and Deployment timeline - 2.5 Months Study, 4 Months Deployment, 2 Months Transition Time to Go Live- 7 Months from Contract
More in depth insights of customers were able to be drawn using various digital strategies that gave out promising ROI that could be measured and acquire more leads that were later on more likely to be converted to customers. The results were tremendous: