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CASE STUDY

Claims process modeling &
Profitability Analytics

Created a predictive mathematical model and generated analytics
​to enable client to forecast future profitability of warranty claims product

Our Client

  • Product unprofitability was threatening well-being of client’s company
  • Some of client’s warranty products were significantly unprofitable but client had minimal visibility into root causes.
  • Substantial warranty claim data was available for many years but client did not have the bandwidth or in-house expertise to perform detailed analysis of the data

Our Engagement

  • Performed  “deep dive” into historical warranty claims data to understand the underlying parameters such as warranty term, automobile miles, make, model, year etc.
  • Segmented data in a multiple ways including by type, agency, vehicle (make/model/year), coverage period, etc. to reveal any significant trends within the segments
  • Modeled the rate of claims arrivals and cancellation of contracts against sales data 
  • Revealed the key factors that determined profitability by segment and forecast future claims costs

Our Results

  • Our model provided the client with a path to profitability for their product portfolio and the estimated amount of months before client would turn the corner to profitability
  • Analytics provided the client with a predictable Profitability Model for claims
  • Identified profitable segments and vehicle types and pinpointed areas of significant risk that could be mitigated by rate increases or other means 

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