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.

Thanks in advance -Andrew

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.