Improved model accuracy
Automation with improved efficiency
Reduced time and efforts
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.
Microsoft SQL Server
Microsoft Excel
RStudio
Prophet
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.
