Service Level Variance

Tracks service-level performance against target across channels, customers, and product tiers to surface where fulfillment reliability is drifting outside acceptable limits. The app is structured for operating reviews where teams need both current period variance and trend persistence before escalation decisions.

Variance decomposition separates demand shock effects, inventory availability constraints, and order execution failures. This allows planners and fulfillment managers to assign accountability accurately and avoid blanket interventions that do not address the primary failure mode.

Deterministic outputs include variance trend lines, segment rankings by gap severity, and expected recovery pathways based on historical correction patterns under fixed control assumptions.