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!

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

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.