Goal - Predict number of days the finished good would be delayed from a promised date of delivery?
Background - It is only 7 weeks before the promised date of delivery that the demand becomes proxy final. Meaning there can be a change in Qty/promised date of delivery/both in the 7 weeks period (run up to promise date of delivery)
Challenge- If my prediction point is (Promised Date of Delivery - 7 weeks). It is likely that some of the feature value might change in the 7 weeks period.
Question - What approach or how do I cater if the following happens after my initial prediction?
Qty changes (new qty < initial qty), after my prediction? - Scenario -I
Promise date of delivery is moved further? Scenario -II
Both the qty changes and promise date of delivery is moved further? Scenario -III
If I have a secondary model for the following scenarios :
a. How would I cater for the 3rd change, will it be catered by my second model?
b. What will be the composition of the training set? Training Set Model I - Initial state of the demand Training Set Model II - Second State of demand +3rd State of demand.. + Nth State of Demand
Do I need a different approach to tackle this problem and what would it be?