What you'll be able to do- ✓Score an AI forecast against held-back weeks and find where it is biased, not just how large its average error is
- ✓Rebuild a safety-stock number by hand and show how far it moves under the choices the data cannot make
- ✓Compare carriers like for like, find bad records by sorting, and say what the file cannot show
- ✓Classify a product range by value and variability, and check the thresholds and the premise of the question
- ✓Write a one-page memo that gives each number with its range, and keep a ledger of where every figure came from
Turn sales, receipt and shipment files and a question from the plant, logistics and finance into a replenishment memo you can defend — a forecast you scored, a safety stock with its range, a carrier comparison done like for like, and a range recommendation that respects what the contracts require.
⌁ How supply planners use AI assistants on a festival-driven product range — forecast and score against held-back weeks, size safety stock from lead-time history, compare carriers on each lane, classify the range, and send a memo that states ranges and dependencies.