Your question is ML for Material Delays. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
A construction company wants to prioritize materials that are highly likely to be delayed. How would you design a machine learning system to solve this problem given features like intended delivery date, cost, weight, and material description?