Random Forest Regressor doesn't have such an option, usually, if you have enough data and a correct training process, predictions should be in an acceptable range. Of course, they might go above and beyond your range, but the error might be still acceptable.
If you are looking for a model that is able to utilize prediction boundaries, I suggest you look at Facebook Prophet as it may be useful for your problem at hand.
Python Prophet Quick Start
For range-predictions, you can specify "Forecasting Growth":
When forecasting growth, there is usually some maximum achievable point: total market size, total population size, etc. This is called the carrying capacity, and the forecast should saturate at this point.
Here is a link for this part
Forecasting Growth and Saturating Minimum
And another note - Prophet proves to be quite useful in predicting any seasonal related time series, so you can achieve even better performance predicting sales compared to Random Forest.