Artificial intelligence (AI) has made inroads in heavy-duty truck fleet management, and the data backs this up. Route optimization has reached 71% AI adoption among organizations with heavy-duty transportation fleets, while maintenance scheduling is not far behind at 64.5%.
These are not small achievements. When an algorithm can dynamically reroute a driver around a traffic bottleneck or flag a component for service before it fails on the highway, organizations see real, measurable value: fewer delays, lower fuel spend, and reduced roadside breakdowns.
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