These signals convert raw anomalies into actionable intelligence.
Indicates unstable demand conditions where short-term forecasting accuracy is reduced.
Trigger:
- Repeated volatile_demand anomalies
- Persistence ≥ emerging
Action:
- Reduce forecast reliance
- Increase operational flexibility
Indicates prolonged elevated demand beyond normal baselines.
Trigger:
- prolonged_peak anomalies
- Persistence ≥ emerging
Action:
- Treat as temporary baseline shift
- Adjust staffing and supply assumptions
Indicates disagreement between demand drivers (weather, transport, events).
Trigger:
- Volatility + driver mismatch
- Confidence dispersion increase
Action:
- Switch to conservative decision mode