Intuitively, I have a greater confidence in a forecast performed on data at an aggregate (e.g. total company) level than the sum of forecasts at made a detailed level (e.g. product).

However, when there is a requirement to produce both, what are the recommended approaches to bring one in line with the other?

I've just started to use the wonderful fable package (and other associated R packages).

My current thought is to do both, and then proportionally reduce the detailed forecast so that its sum is equal to the aggregate forecast.



Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.

Browse other questions tagged or ask your own question.