One of such problems is lead-time slippage that hardly manifests itself abruptly. It develops slowly with little delays, failed confirmation, and widening gaps in execution that can only be observed when the services are already affected. When a report runs red it is normally too late. Early warning involves the observation of trends in behavior and not results on a dashboard alone.
Most operators use forecasting models daily, they may not be aware of its inventory plans, labor schedules, replenishment cycles, and promises of delivery all are based on correct predictions. But still, numerous operations are performed based on models that hardly adapt to the actual volatility. The outcome is foreseeable: stockouts when demand is high, and excess stock when the demand is low and teams are struggling to recover.