Signal · Supply Chain & Logistics
Agentic AI in Logistics: Why 55% Accuracy Fails
What the source reported
Source-reported<p>Agentic AI in logistics still breaks when spatial reasoning enters the picture. HERE Technologies’ Bart Coppelmans explains why general AI models can understand language but still fail on truck routing, low-clearance bridges, parking, congestion and real-world execution. In this FreightWaves Today segment, Bart lays out why location intelligence has to be built into logistics AI […]</p> <p>The post <a href="https://www.freightwaves.com/news/agentic-ai-in-logistics-why-55-accuracy-fails">Agentic AI in Logistics: Why 55% Accuracy Fails</a> appeared first on <a href="https://www.freightwaves.com">FreightWaves</a>.</p>
- Publication
- FreightWaves · Trade Publication
- Published
- 2nd September 2026
- Original report
- freightwaves.com
ProcIntel stores what the source published in its feed — a headline, a summary and a link. It does not store or reproduce the full article.
What ProcIntel recorded
ProcIntel-derived- Category
- Supply Chain & Logistics
- Geography
- Global, US
- Organisations
- None identified
- Collected
- 3rd September 2026 · 02:26
Initial assessment ProcIntel's automatic, provisional read of this individual Signal -- Initial Significance and Initial Confidence, computed deterministically before any Event extraction or human review.
A provisional, automatically computed reading of this individual Signal, before Event extraction or human review. Not a final rating.
Initial Significance Low (14.0/100). Strongest contributor: Procurement Impact (6.0/30 points). Limiting factor: Geographic Breadth (0.0/10 points). Initial Confidence Low (31.5/100, data sufficiency: Partial). Strongest contributor: Source Authority (20.0/40 points). Limiting factor: Corroboration (2.5/25 points).
- Strongest contributor
- Procurement Impact
- Limiting factor
- Geographic Breadth