Worked Walkthrough: Build a Control Plan for ETA AI
Build a DMAIC-style control plan for an AI ETA workflow after improvement.
The ETA model improved after changes, but the team has no written way to detect when the gain erodes or what to do when a high-risk segment drifts. Control plan: metric -> segment -> threshold -> owner -> cadence -> response rule The common trap is to celebrate the overall average and stop. Overall accuracy can stay acceptable while a high-penalty lane, cold-chain flow, or low-telematics carrier becomes unsafe for customer-facing promises. Choose the metric Track median absolute ETA error and the share of shipments exceeding the customer-promise threshold. Use one central accuracy metric and one business-impact metric so the…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in