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TITLE: AI Moves From Recommendation to Autonomous Action in Logistics\n\nDHL’s latest Logistics Trend Radar 8.0 shows AI shifting from an advisory role to making real‑time decisions across supply chains. The report notes that AI is now planning, coordinating and acting alongside people, marking a new "action" chapter for the technology.\n\nKey developments include the rise of "Agentic AI," which can autonomously plan, decide and execute tasks such as rerouting shipments, rebalancing inventory and reallocating transport capacity. Analysts predict rapid market growth, with Gartner estimating agentic AI‑enabled supply‑chain software will expand from $2 billion in 2025 to $53 billion by 2030.\n\nAt the operational level, the 2026 Last‑Mile Innovation Report confirms that shippers view AI as a game‑changer for transport planning, with 86 % expecting the biggest impact. Real‑world pilots are already delivering gains: a TMS overhaul for Kuchnia Vikinga cut route‑generation time in half and slashed manual work by 70 %.\n\nWhy it matters: Autonomous AI can dramatically improve supply‑chain resilience, speed up response to disruptions, and lower costs, but it also raises governance and security challenges as decisions move from humans to machines.\n\nWhat to watch next:\n- How vendors embed human‑in‑the‑loop safeguards and audit trails to mitigate erroneous autonomous actions.\n- Adoption rates of agentic AI across industries, especially as Gartner warns that over 40 % of projects may be cancelled by 2027 due to cost and risk concerns.\n- Continued improvements in data quality and integration, which are critical for AI to make reliable real‑time decisions in last‑mile logistics. [[1, 2]]