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FreightWaves · September 7, 2026

Agentic AI in Logistics: Why 55% Accuracy Fails

Supply Chain & LogisticsOperationsComputer Science
THE AI ANGLE
Automating freight routing and multi-agent logistics orchestration

General-purpose large language models answer only about 55% of basic direction questions correctly, creating an operational barrier to adopting agentic AI in logistics due to a lack of underlying spatial reasoning. HERE Technologies argues that location intelligence and truck-specific constraint data must be embedded into logistics AI from the start to prevent hallucinations around bridge clearances, road restrictions, and parking. Consequently, logistics AI must currently be treated as a human-assisted orchestration tool rather than a fully automated system.

THE TEACHING ANGLE
Instructors can explore the critical operational tension between relying on general frontier AI models and the necessity of domain-specific geospatial grounding and human oversight in physical execution.

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