Solution features

  • Incedo team developed the early warning engine which predicted likelihood of pre-payment and risk segment at each customer/account level
  • Developed data streams to capture the key variables for the engine
  • We focused on Loan characteristics like asset location, interest rate competitiveness, FICO score, asset class parameters those are strong predictors of prepayment behaviour
  • In addition, customer behaviour parameters like frequent customer enquiries and file maintenance requests were early indicators of customer looking for pre-payment of the loan
  • Integrated the engine with customer service/CRM workflow to trigger interventions based on changing risk profile

Speech based access to data for advisors

Scale of the Project

  • ~180M+ users, with rich and complex event history