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Forecasting with context


we have been able to use PAL Forecase smoothening algorithm to forecast value in a time series.

Ex: Feeding last 12 months usage to forecast next 6 months.

Now, we want to extend and contexualize the forecasting with parameters like region, usage of specific resource type etc.


  • Demand Forecast of resources (equipment types/personnel types) for future jobs
    • Use past months historical jobs to predict demand for each resource types
    • Like which customer will have more demands for which Resource Type
  • Revenue and margin forecast based on Field tickets & margin analysis for past months

Can someone provide any pointers on how to extend PAL forecasting algorithms to be used with additional parameters ?

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1 Answer