A forecast is an input to a decision, not an automatic purchase order. The recommendation should combine the frozen forecast, current usable stock, replenishment lead time, service target, capacity, and the cost of shortage or excess. If any decisive field is missing, ask for it or issue a bounded analysis rather than a quantity to order. Require a human owner to approve any external stock movement. Record which model and data snapshot supported the recommendation, then compare realized demand with the forecast after the period closes; a prompt should not claim success from a plan alone.
Forecast prompts: gate inventory recommendations on evidence
Operational case
Aster's point estimate is 54 kits and its one-week interval extends to 65, above the depot's 60-kit capacity. The planner cannot simply order 65: usable stock, inbound shipments, storage constraints, and lead time still need verification. A draft memo flags the five-kit exposure above capacity and offers options such as earlier replenishment or a nearby depot transfer for human review. The purchase action remains pending. If a late stock correction changes the usable quantity, the recommendation is recomputed before approval.
Forecast bundle: origin, target, data version, model version
Point 54; interval 45-65; capacity 60
Unknown: usable stock and inbound receipt timing
Action: hold purchase quantity; request missing inputs
After close: record actual and decision outcomePerformance and review cost
Combining forecasts with inventory records is O(D) for D depot-item decisions once the records are indexed, but the real cost lies in checking stale stock and external effects. A saved release packet allows later comparison between forecast error and decision error. Approval and receipt reconciliation add latency; they prevent a fluent explanation from becoming an unauthorized purchase or transfer.
Common Mistakes
- Do not turn a point forecast directly into a purchase quantity.
- Do not order beyond capacity without reviewing alternatives.
- Do not mark the recommendation successful before actual demand and stock outcomes are known.
Connected lessons
- Production prompt engineering
- Prompt Engineering
- Tool effects: reconcile receipts before retrying
- Capacity prompts: check units, headroom, and a failed worker
- Forecast prompts: define target, horizon, and time grain
- Forecast prompts: enforce the as-of data boundary
- Forecast prompts: distinguish missing weeks from zero demand
- Forecast prompts: compare against a rolling baseline
- Forecast prompts: keep scenarios separate from predictions
- Forecast prompts: label intervals and check coverage
- Project: review Aster depot kit forecasts
- Forecast prompt decisions
