Where 2025’s AI predictions hit, missed, and what supply chain leaders must recalibrate in 2026
· Source: scmr.com
In short
In 2025, AI transitioned from pilot stage to execution in supply chain management, especially in use cases like document review and third-party risk management. However, challenges such as fragile data foundations, weak governance, and lack of third-party oversight limited the sustained ROI from many AI projects. For 2026, supply chain leaders are advised to focus on disciplined data practices, clear accountability, and robust third-party risk management to scale AI effectively.
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In the issue of week 10, 2026: AI Agents and Physical AI Drive New Productivity Frontiers in Logistics
Tags: agentic AI, data readiness, third-party risk, governance, automation, supply chain