Hi, Given that this is a forecasting task, how does the rest of the featues (such as price,sellout, inventories:...etc) which are not in the test set benefit our model, since both test and train set should bear same features for a possible prediction. (One could argue that those features are not available at test time) be that as it may, it has been provided in train-set, so basically I want to know how we can use that information to our advantage.

And lastly, do we even get to use the regular ML algorithms (like RF and XGBoost) for this task, or something different. Someone kindly point me in the right direction please!

Thanks in advance!