How AI will evolve supply chains from better plans to better outcomes
· Source: ciodive.com
In short
Sponsored content from Kearney argues that integrated business planning has produced dashboards and forecasts but not business outcomes, because decisions remain siloed across finance, planning, procurement, logistics and customer teams. Agentic planning — autonomous agents that sense conditions continuously, weigh cross-functional trade-offs and recommend decisions based on financial impact — can bridge those gaps. Kearney outlines a three-layer architecture (integration, data, AI), recommends starting from high-value use cases like distribution planning and raw material shortages, and expects guardrailed autonomous decisioning to be realistic by 2030.
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Tags: supply chain, agentic AI, planning, decisioning, distribution