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I'm trying to predict product demand in store. The predictors I have include price, competitor's price, store ID, date. My target variable is sales volume (in a particular store). What I need to predict is sales in a store one week in advance.

I'm thinking about how I should approach this problem. The goal is to predict sales one week in advance, I'm a little confused about how I should use predictors for prediction. How I should do the model validation (for predictions one week in advance). How can I incorporate seasonality in the model if I use random forest...

Really appreciate it if anyone can help clarifying this. Thanks a lot!

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  • $\begingroup$ Is this a homework assignment? $\endgroup$ – I_Play_With_Data Feb 19 '19 at 13:39
  • $\begingroup$ Do you have historical weekly data for sales and predictors ? $\endgroup$ – Shamit Verma Feb 19 '19 at 16:37

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