TrueCar’s patented system efficiently matches users with vehicle sales data from various sources using a scoring engine. The system uses machine learning to generate confidence scores for potential matches based on historical data, enhancing user experience and sales accuracy. GlobalData’s report on TrueCar gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on TrueCar, Dynamic premium pricing was a key innovation area identified from patents. TrueCar's grant share as of April 2024 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Sophisticated vehicle data system for matching users with sales

A recently granted patent (Publication Number: US11966933B2) discloses a system and method for matching users with vehicle sales data using a combination of a matching engine and a scoring engine. The system includes a data system with a processor and a data store storing user data and historical transaction data. The matching engine determines potential matches by comparing user data and transaction data based on matching rules, while the scoring engine uses a machine learning model to generate confidence scores for each potential match. The system is trained using historical data sets and iteratively refines the training process to improve accuracy. Additionally, a billing engine with filtering rules is included to approve potential matches based on confidence scores.
Furthermore, the patent also covers a non-transitory computer-readable medium containing instructions for implementing the matching and scoring process. The method involves obtaining user data and historical transaction data, determining potential matches, extracting features, applying a prediction function, and generating confidence scores for each match. Similar to the system, the method includes training the machine learning model using historical data sets and refining the training process iteratively. Additionally, a set of filtering rules based on confidence scores is applied to approve potential matches. The patent emphasizes the use of machine learning techniques to improve the accuracy of matching users with vehicle sales data, providing a more efficient and effective system for analyzing and processing large sets of data.
To know more about GlobalData’s detailed insights on TrueCar, buy the report here.
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