Carrier Profiling

carrier profiling within our architecture

Machine Learning on Carrier Profiles

Profiling of carriers is crucial to understanding how their interests intersect with the loads available. This is a critical input to decisions such as if or when to notify carriers about new loads, what price to offer them, or how to consolidate single-moves into multistop offers to best meet their needs. visual of carrier geographic preferences The image above shows an example of a carrier, and highlights where they are best suited for pickups and deliveries. Note that this isn't just where the moved loads in the past. This is showing where they were more price aggressive, faster to reply, or more likely to accept loads. Learn about how carrier profiling fits into our AI pipeline here.