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    The Most Expensive Mistake in Freight Happens Every Day

    ManufacturingNews

    The Most Expensive Mistake in Freight Happens Every Day

    C.H. Robinson is using AI to shrink the labor and fuel waste behind missed LTL pickups

    Last updated

    Missed pickups are one of the most routine failures in less-than-truckload freight, and one of the most expensive. When a scheduled pickup does not happen, freight stalls, carriers retrace miles, and operations teams step in to manually chase updates by phone, email, and portal checks. The problem is so common that the industry has largely absorbed it as a cost of doing business rather than a fixable flaw.

    That assumption is now being tested. C.H. Robinson has deployed a set of artificial intelligence agents designed specifically to detect, investigate, and resolve missed LTL pickups with minimal human intervention. The company says the system now automates the vast majority of missed-pickup checks, saving hundreds of labor hours per day and reducing unnecessary carrier return trips. The move does not promise a reinvention of freight brokerage. It targets something more basic: eliminating a recurring operational tax the industry has long tolerated.

    Missed Pickups as a Hidden Cost Center

    Missed LTL pickups are not rare exceptions. They occur daily across large freight networks, often for mundane reasons such as scheduling mismatches, capacity constraints, or miscommunication between shippers and carriers. When they happen, the downstream work is highly manual. Operations staff must confirm whether the pickup was attempted, determine whether freight is still available, contact the carrier, reschedule service if necessary, and update customers.

    C.H. Robinson said that, before automation, their operations teams spent more than half their day managing missed pickups and related follow-ups. That time was diverted from other operational and customer-facing work. These tasks included calling carriers directly, checking multiple carrier systems, and logging updates across internal tools. Similar workflows exist across the brokerage sector, even as other parts of freight operations have become increasingly automated.

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    About the author

    Mukundan Sivaraj

    Mukundan covers enterprise AI and the AI startup ecosystem for AIM Media House. Reach out to him at mukundan.sivaraj@aimmediahouse.com or Signal at mukundan.42.

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