How overcoming fragmented data will decide AI’s future in supply chains
· Source: aijourn.com
In short
AI adoption in supply chain management is accelerating, but fragmented data—not weak models—is preventing consistent value. Research shows poor data accessibility and siloed systems limit real-time visibility and model reliability. Experts argue that strong data governance and end-to-end integration are essential for AI to deliver on its promises in logistics.
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In the issue of week 18, 2026: Agentic AI and Physical Automation Drive Supply Chain Breakthroughs
Tags: data fragmentation, logistics, AI adoption, data governance, supply chain