demand-planning

Load your company context, goals, metrics, and prior decisions, then follow the framework: clean history, separate baseline from events, select a forecast method, incorporate commercial intelligence, and reconcile the hierarchy. The output includes confidence levels and bias controls for each forecast.

It requires an intent, decision horizon, objective with baseline and target, hard constraints, current state, options, and evidence with sources and confidence scores. Industry profile, business model profiles, stage, maturity, and jurisdictions adapt the method to your context.

Yes, it retrieves permitted facts from memory, derives values only with explicit formulas, and asks one concise batch for material missing facts. It continues with labeled scenarios for optional gaps but stops if a missing fact could reverse the decision.

Avoid it before benchmark calibration establishes comparability, for legal or regulated determinations requiring licensed specialists, and during active emergencies where an incident or crisis workflow takes command priority.

It tracks forecast accuracy, bias, service level, and obsolete exposure, each with baseline, target, actual, trend, confidence, and owner. It also measures recommendation calibration and execution quality over time.