Travelers. has been granted a patent for a method that identifies data gaps in user requests, utilizes third-party services to address these gaps, and employs a machine-learning component to adapt question sets for users. The process includes data authentication via tokens and user interaction for data completion. GlobalData’s report on Travelers gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Travelers, Digital lending was a key innovation area identified from patents. Travelers's grant share as of July 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
Method for filling data gaps using machine learning and tokens
The patent US12033170B2 outlines a method for enhancing user interactions on web platforms through a systematic approach to data handling and machine learning. The process begins with receiving a user request and associated data from a web server, along with a session token for authentication. The method identifies data gaps in the request and utilizes third-party services to fill these gaps. If gaps remain, a machine-learning component generates a tailored question set, which is then transmitted back to the web server for user presentation. The system also collects user responses to further populate the data gaps, ensuring a more complete dataset for subsequent processing.
Additionally, the method includes steps for transmitting the completed dataset to a rating system linked to various product providers, which in turn generates product offers based on the data. The machine-learning component is continuously updated based on user interactions, product offer selections, and overall accuracy metrics. The method also incorporates mechanisms for tracking user engagement and refining the question set and product offer presentation based on user profiles and quoting metrics. This iterative process aims to optimize user experience and improve the relevance of product offerings, ultimately leading to a more effective and personalized web interaction.
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