Hybrid approach forecasts timeseries

In scenarios of bottom up & top down forecasting what is the general consensus of using aggregate forecasts as a multivariate forecast to help alleviate the magnitude of errors for bottom up forecasting.

Examples: we have multiple product sales and we forecast each product individually with a model however when we aggregate everything to dates the forecasts end up being very erratic vs forecasting from the the top.

Input would be helpful

datascience hybrid hybrid approach timeseries