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I am trying to identify the best model for Recommending Trade Promotions for CPG companies using R . One option is to do a Liner regression to forecast sales for past data and the add the actual sales based on promotions to calculate uplift and then forecast which is the one which gives the best uplift.

But I am assuming there is a better way to do this when we add variables like weather, promotion displays etc.. any suggestions or pointers as to which model would be the best one.



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You can use Multivariate Time series..



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