Being a newbie seeking help to gain experience in Data Science.
Lets take a scenario where a big company wants to forecast its sales (a specific product) across different stores in different geographic locations. As an Analyst, a task is given to forecast few hundreds of series (sales) for next 3 months. Since, we are forecasting sales across different geographic locations, the nature of the series would not be same for all. There would hundreds of models to check with. What are the suggested approaches for this scenario with your experience in this field? Also, how important it is know the nature of each series in this scenario?