Abstract: A system for data mapping and transformation receives load data from a freight broker. The system extracts a set of data elements from the load data. The system determines that set of data elements includes anomalous data indicating that the set of data elements comprise incomplete or incorrect information. The system transforms the anomalous data to correct information retrieved from trusted sources. The system associates each data element to a respective data element in a mapped dataset. The system determines the identity of entities indicated in the load data. The system communicates the load data to a factor entity based the determined identity of the factor entity. The system performs a similar operation on other received messages.

Abstract: A system determines that a first data element in a first message is linked to a first data field in a first mapped dataset. The system receives a request to determine to which data field in a second mapped dataset a second data element in a second message should be mapped. The system extracts a first set of features from the first message. The system determines that the first data element is located on a first location within the first message. The system extracts a second set of features from the second message. The system determines that the second data element is location on a second location within the second message. The system determines a difference between the first location and the second location. If the difference is less than a threshold distance, the system associates the second data element to the first data element in the second mapped dataset.