case study

Sales Forecasting for Upcoming Years


Business Impacts

Improved model accuracy

Automation with improved efficiency

Reduced time and efforts

Customer Key Facts

  • Location : North America
  • Industry : Insurance

Problem Context

The customer is one of 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 their insurance products across various business sales segments for upcoming years.



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

Technologies Used

Microsoft SQL Server

Microsoft SQL Server

Microsoft Excel

Microsoft Excel





Generating Fast and Accurate Sales Predictions for Future Years


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


  • 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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