AutoScheduler.AI Chief Executive Keith Moore argues that legacy warehouse metrics such as throughput, OTIF and picking accuracy no longer capture supply chain performance under volatility. Moore proposes decision velocity: the elapsed time between detection of an opportunity or threat and the moment action is taken.
Decision velocity has three components. Signal speed measures how fast the organization detects change, such as a delayed truck, demand spike or inventory shortage. Decision clarity covers how quickly data turns into root cause and a next best action. Execution latency tracks how long it takes to put the decision into operation. Traditional KPIs are lagging indicators while decision velocity functions as a leading one.
Moore stresses that speed must not come at the expense of control. A fast bad decision can be worse than a slow good one. Agentic AI-powered decision agents address this trade-off by synthesizing signals from warehouse, transportation, labor and inventory systems and presenting "what, why, and next best step" recommendations. Human supervisors retain final authority, producing controlled acceleration.
Practical measurement indicators include exception response time, decision autonomy (the share of routine decisions made without escalation), system refresh rate and decision load. Cultural enablers include connected data across silos, local decision rights, incentives that reward responsiveness and routine what-if drills.
Moore concludes that competitiveness in volatile supply chains is no longer measured by how smoothly things run on quiet days, but by how quickly the organization can shift direction during disruption. Traditional metrics still matter but tell only half the story.
Key Takeaways:
1. Decision velocity is proposed as a new leading-indicator KPI measuring detect-decide-execute time.
2. Traditional metrics like throughput and OTIF are lagging and insufficient under volatility.
3. Agentic AI decision agents synthesize signals to enable controlled acceleration.
4. Practical measures include exception response time, decision autonomy and system refresh rate.
5. Competitiveness in volatile environments depends on how fast organizations can change direction.
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