Just a few years ago, the state of the art in freight brokerage technology was software-assisted pricing and matching. A simple tool might take a base rate for a certain origin-destination pair and add a seasonality modifier based on historical data, then give a human broker a ranked list of the carriers most likely to service the freight.
Then the phone calls would start, and often the broker would find out that the market had turned and that carriers weren’t available or weren’t willing to...
https://s29755.pcdn.co/news/how-machine-learning-improves-the-efficiency-of-freight-operations