Bidding on a load-board for engaging a truck to transport a shipment across the continental US at lowest necessary price is an art mastered by a few agents who are capable of achieving excellent results on a limited number of lanes. However, expanding these capabilities across lanes and making it accessible to all agents was challenging. We solved this using multiple internal and external data sources by developing an ensemble of models to provide very robust and accurate predictions.
