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Navigati decision late
Why your WMS isn’ t enough according to Keith Moore, and how to close the latency gap with agentic systems
AI is dominating global supply chain headlines. Yet, if you look inside most modern distribution centers, manufacturing plants, and warehouses, AI is primarily being utilized for reporting, long-term demand forecasting, or populating executive dashboards. While these tools provide excellent historical visibility, they rarely touch day-to-day, minute-by-minute execution.
The real operational gap in the global trade community today is not a lack of data; it is decision latency. Decision latency is the critical delay between recognizing an operational disruption and taking optimal action to resolve it. In high-velocity environments, this delay is the root cause of systemic bottlenecks, idle automation, and massive margin erosion.
Limitations of traditional systems
Global supply chains operate as a highly complex framework of systemic flows, where the failure of a single localized facility generates a cumulative economic burden across the entire network. For decades, facilities have attempted to manage this complexity using a standard stack of legacy software, including Enterprise Resource Planning( ERP) platforms,
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