Hi Hien - Glad that my feedback was useful. Here are some more thoughts: 1. The idea of a adjustment variable is to incorporate "deterministic" components of your forecast, which don't need to be modeled. There are different scenarios, for example you might want to remove deterministic components first, then you deal with your foreasting model, and finally you add the deterministic component back again. Or you may want to add an "uplift" after modeling only. ADJUSTMENT variables will allow you to do both. This won't be impact the type of model which gets selected - it's more of a pre- and post-processing activity. 2. Yes, I created 2 different forecasting projects and combined the results later outside of Forecast Studio using a data step. One of the projects was just looking at the end-of-month effect, to accomplish this I used a custom date interval. The other project was used to model the base line demand only. Regards, Udo
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