In the global battle for logistical efficiency, C.H. Robinson highlights a very concrete use case of AI: managing missed pickups in LTL. According to published information, AI agents now automate the vast majority of checks related to these incidents — up to 95% — which would eliminate more than 350 hours of manual tasks each day.

Why is it major? Because “missed pickups” are not just an irritant: they are events that create calls, emails, follow-ups, rescheduling, invoice exceptions… in short, a hidden cost that multiplies at scale. By automating detection, qualification, and some of the follow-up actions, the operator can reduce friction, accelerate resolution, and free up time for truly complex cases.

For the market, this type of announcement fuels a significant trend: major 3PLs are investing in “agentic” tools to transform daily operations (exception management, appointment scheduling, documentation, customer updates). At stake: productivity gains, but also new customer expectations — more responsiveness, more “real-time,” less uncertainty.

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