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Business Impact

  • Improved model accuracy

  • Automation with improved efficiency

  • Reduced time and efforts

Customer Key Facts

  • Rank : Fortune 500
  • Location : Columbus, Georgia
  • Industry : Insurance

Problem Context

The client is the largest provider of supplemental insurance in the United States, providing financial protection to more than 50 million people worldwide. They were facing problems in forecasting sales of its insurance products across various business sales segments for upcoming years.

Challenges

 

  • Highly inconsistent trends in data for some sales segments
  • Fully automated model enabled tweaks as per user inputs
Challenges

Technologies Used

Microsoft SQL Server
Microsoft Excel
RStudio
Prophet

Generating Fast and Accurate Sales Predictions for Future Years

Solution

Quantiphi developed and deployed a one stop automated solution based on a time series forecasting model, leveraging Prophet package, to forecast the sales. Seasonality patterns were analyzed for historical data and embedded inside the model to capture the trends more efficiently.

Result

  • Faster and more accurate predictions of sales for each business sales segments at most granular levels
  • No/less manual intervention needed

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