Which technique should I use in this case?
I have a retail dataset, and I want a model that can answer various questions beyond just predicting next year’s profit. For example, if I want to know how to increase sales to achieve a specific profit target or get insights on other strategic questions, what approach should I take? Will fine-tuning alone meet these requirements, or are additional techniques needed?