Triumph Financial‘s patented system for data mapping and transformation streamlines freight data processing. By extracting, correcting, and associating data elements, the system ensures accurate information flow between brokers, carriers, and factor entities. The system’s machine learning algorithms enhance efficiency by predicting data field mappings based on historical user behavior. GlobalData’s report on Triumph Financial gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Triumph Financial, was a key innovation area identified from patents. Triumph Financial's grant share as of February 2024 was 94%. Grant share is based on the ratio of number of grants to total number of patents.

Data mapping and transformation system for freight broker load data

Source: United States Patent and Trademark Office (USPTO). Credit: Triumph Financial Inc

A recently granted patent (Publication Number: US11880803B1) discloses a system for data mapping and transformation designed to streamline the process of managing freight transportation. The system includes a memory to store trusted datasets for freight brokers and carriers, a processor to extract and map data elements from load information, and a data extraction machine learning algorithm to ensure accurate mapping based on historical user behavior information. By identifying anomalous data elements, the system can correct incomplete or incorrect information using the trusted dataset, ultimately generating a mapped dataset that accurately represents the involved parties and load details. The system also facilitates communication with factor entities and other stakeholders involved in the transportation process, ensuring seamless information exchange and record-keeping.

Furthermore, the patent details a method and a non-transitory computer-readable medium storing instructions for implementing the data mapping and transformation system. These components enable the identification and correction of anomalous data elements, the generation of structured data, and the mapping of data elements to trusted datasets. By leveraging historical information and user behavior patterns, the system ensures accurate data mapping and communication between various entities involved in freight transportation. Overall, the patented system aims to enhance efficiency, accuracy, and reliability in managing freight logistics by automating data processing and ensuring data integrity throughout the transportation process.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.