I use them now but I have more than 30,000 skus in forecast modeling.
So, this is my case:
1. System generates forecast at sku/price point level, but sometimes I have to do adjust forecast manually
2. Price point owned by different team and if they update price and I dont have system forecast for this week/customer it's stays as it is.
Example: I know that average sales at 5$ for product B at Customer A should be 5000 units for the next 3 weeks but at week 4 I have forecast at 2000 units (this is mistake) -> So, I just I need a raking table with ratio where I can sort biggest outliers I highligh my issues rather than going and check every single customer/product
I was thinkig that average by categories will help, coz then I can compare my forecast for particular week vs what average (or max) should....but I need average by price points, customer and sku