Bridgestone had seven patents in artificial intelligence during Q2 2024. The patent describes a computer-implemented method that involves interacting with a user to recommend tire products based on their responses, estimating vehicle use and customer value, and adjusting the questions asked based on the user’s comprehension level. This process aims to provide personalized tire product recommendations to users. GlobalData’s report on Bridgestone gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Bridgestone had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Method, computer, and system (Patent ID: US20240135426A1)

The patent filed by Bridgestone Corp describes a method executed by a computer that involves multiple processes to recommend tire products to users based on their responses to questions. The method includes determining the user's comprehension level regarding tire products and adjusting subsequent questions accordingly. The system also estimates the user's vehicle use and customer value to make personalized recommendations. Additionally, the method involves training a machine learning model based on user purchase data to improve product recommendations.

The patent further details the execution of the method using a machine learning model that processes user responses to recommend suitable tire products. It also involves transmitting user and product identification information to external devices for further processing. The system aims to enhance user experience by tailoring questions and recommendations based on user comprehension levels and response data. The method's effectiveness is improved by incorporating additional information beyond user responses and training the machine learning model with user purchase data for more accurate recommendations.

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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.