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AI-era warehouse KPIs: a layered metrics framework
AI does not make traditional warehouse metrics obsolete. It adds three measurement layers on top of them: asset automation, human-machine trust, and model quality. A healthy system pairs one north-star metric with six tactical dimensions and tiered alerts. The hardest new work is proving the algorithms are actually trusted and used. The legacy WMS scorecard still sets the entry bar The legacy warehouse management system was built to keep books accurate and processes controllable. Its classic scorecard rests on five pillars: inventory accuracy, picking accuracy, order fulfillment timeliness, capacity utilization, and per-capita productivity. These numbers remain the price of admission for any automated warehouse. AI layered on a chaotic baseline…


