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Partnered with a leading auto finance company & developed a propensity model using predictive analytics to improv collection efficiency

Customer Profile

Our client is a captive auto finance company for one of India’s largest auto manufacturing company. 

Business Challenges
  • To improve collection efficiency for LSA portfolio

  • Significant efforts spent to  manually collate financial data to generate collection campaigns

  • Loan data scattered over excels


Develop propensity model to payback outstanding amount

Using methods like correlation, cluster analysis, principal component analysis

Use mathematical transformations to create new features


More than 50% accuracy in predictive analytics

Better focused campaign

Improved calling intensity