Why this matters to buyers
Buyers evaluating AI solutions for logistics operations should be aware that general models may not reliably handle complex, real-world spatial tasks critical for execution.
Recommended buyer actions
- Inquire specifically about a vendor's AI model's capabilities and accuracy in spatial reasoning and real-world logistics execution.
- Prioritize vendors that integrate location intelligence into their logistics AI solutions.
Original source context
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 […] The post Agentic AI in Logistics: Why 55% Accuracy Fails appeared first on FreightWaves.
Read the original report · FreightWaves