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?
Clarify the prediction target, users, workflow, data requirements, model approach, evaluation metrics, rollout plan, and key risks. Treat the output as a prioritization tool for construction teams, not an autonomous purchasing decision.