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Explore how enterprise leaders are adopting agentic AI, explainable AI, and decision-centric planning to improve supply chain resilience, governance, digital twins, and operational decision intelligence.
Supply chain planning is moving from analytical support toward decision orchestration. The first wave of supply chain AI improved forecasts, alerts, and planning dashboards. The next wave is more operational. Agentic AI can monitor signals, interpret constraints, generate scenarios, recommend actions, and coordinate planning tasks across demand, supply, inventory, production, procurement, and logistics.
The conditions behind this shift are structural. The World Economic Forum reported in 2026 that 74% of business leaders view resilience as a growth driver, while 2025 tariff escalations reshuffled more than $400 billion in global trade flows, and major container shipping routes saw costs rise 40% year over year. These figures explain why planning leaders are redesigning processes around optionality, response speed, and decision quality rather than treating resilience as an after-action risk exercise. [1]
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