How can AI improve service level without adding stock?

AI shifts the lever from more stock to better exception decisions. Probabilistic forecasting sizes buffers against the actual demand uncertainty range per SKU rather than a flat Z-score. Dynamic segmentation refreshes the target by margin, criticality and substitutability instead of freezing it once a year. Exception prioritisation surfaces the alerts that genuinely threaten service, so the planner spends time where it changes the outcome. The net effect in deployment is service rising while inventory falls, because the two are no longer traded off blindly.