Either an Algorithm or AI based approach, where based on various variables, Forecast delivers a prediction of where an individual seller would land at end of i.e. quarter.
Potential variables (but please dig deeper on this :))
- Historical results
- Historical forecast accuracy
- Seasonality
- Current pipe (values/probability/stage)
- Forecast categories (worst case, commit, best case)
Could result in i.e.: This is the x amount where we expect the seller to land and this is the margin of error on that value.