Abstract: Systems and methods for a transportation management system provide for: generating a user interface to receive a vehicle transportation order for a vehicle to be transported; receiving, via the first user interface, the vehicle transportation order indicating a destination, a starting location, and a vehicle characteristic of the vehicle to be transported; providing the vehicle transportation order to an artificial intelligence (AI) system generate a priority ranking for the vehicle transportation order; and executing an automated action responsive to the priority ranking.

Abstract: Systems and methods for a transportation management system provide for: generating a user interface to receive a user query related to vehicle transportation; utilizing an artificial intelligence (AI) system to pre-process the user query to generate a preprocessed user query; accessing, based on the preprocessed user query, transportation data relevant to answering the user query; determining an automated answer to the user query based on the transportation data; transforming the automated answer into a response to the user query; and updating the user interface to include the response to the user query.

Abstract: Systems and methods for a transportation management system provide for: receiving one or more load identifiers; providing one or more internal transporter indications and an open marketplace transporter indication for an open marketplace system; receiving a user input to select a selected transporter indication among the one or more internal transporter indications and the open marketplace transporter indication; generating a first order based on the one or more load identifiers and the selected transporter indication; in response to the selected transporter indication being selected from the one or more internal transporter indications, outputting the first order to an internal transporter corresponding to the selected transporter indication; and in response to the selected transporter indication being selected from the open marketplace transporter indication, outputting the first order to the open marketplace system.

Abstract: A trained cross-functional process model and a subject-specific virtual assistant provide service professionals access to a body of knowledge that could understand their specific needs, automate service tasks, and provide them service information when they need it. By embedding artificial intelligence in the service context, the techniques in this disclosure support low cost inputs that allow novice service professionals and artificial intelligence to replace the services of a journeyman, particularly in service contexts where service quality and/or human judgement is irrelevant or only marginally relevant. The systems and methods herein may, in some implementations, benefit stakeholders, owners, and/or equity holders in many service contexts.