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Operational waiting is one of the hidden costs in supply chain performance. This whitepaper explores how agentic workflows, AI-based forecasting, and decision-centric planning help enterprises reduce latency, accelerate response, improve resilience, and move from periodic reviews to continuous orchestration.
Operational waiting has become one of the least visible but most expensive constraints in modern supply chain performance. Enterprises often know when demand changes, capacity tightens, inventory falls out of balance, or transportation conditions shift. The harder challenge is acting before that signal becomes a service failure, margin event, or executive escalation.
The problem is rarely a lack of information. Many organizations already use forecasts, dashboards, exception alerts, scenario tools, and analytics teams. Yet action still waits for manual review, fragmented handoffs, meeting cycles, and cross-functional alignment. In a volatile market, that pause can erase the advantage created by better visibility.
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