A dedicated check-call coordinator calls every carrier at pickup, in-transit, and pre-delivery, then writes down whatever the driver says. It is the same three questions on every load, hundreds of times a week. Small brokerages running this manually typically pay $8,000–$15,000/month for one to two people to do exactly that — and the job still stops at 5pm, on weekends, and on holidays.
The gap that opens up after 5pm is where most freight problems actually happen. A load in transit overnight with no one checking on it is a load where the first sign of trouble is the shipper’s call the next morning — after it’s already too late to do anything but apologize.
It calls every carrier at every checkpoint, every time, with no gap for nights, weekends, or a coordinator being out sick. The AI asks for location and ETA, logs the response instantly, and if a driver doesn’t answer, it retries on a schedule and escalates to a human after two consecutive misses — with the exception already flagged on the load board, not buried in someone’s notebook.
The difference shippers actually notice is who calls first when something goes wrong. A missed check-in that fires an alert within 90 seconds means the broker calls the shipper with a plan, instead of the shipper calling the broker to ask what happened.
Every check call is also a data point: did the carrier answer, were they on time, how often do they miss check-ins. Manually, none of that gets tracked in any usable way — it lives in a coordinator’s head until they quit, and then it’s gone. Automated check calls turn every interaction into a permanent carrier scorecard, so a dispatcher can see “this carrier misses 30% of check-ins” before tendering them the next load, not after the shipment goes dark.
Not the dispatcher’s judgment — the manual dialing. A brokerage that automates check calls typically reassigns that coordinator time to actual carrier relationships and problem-solving within the first week, because the repetitive three-question call is gone, not the job.