Abstract: A load matching system matches freight loads to trucking carriers based on multiple factors including carrier geo-location, load origin, load destination, carrier equipment type, information about the user, pick-up-time, drop-off-time, price elasticity, and transactional history. The system uses machine learning algorithms to provide the carrier with synthesized load information, based on past experience, current conditions and user interaction with previous load postings.