Bayerische Motoren Werke had seven patents in ecommerce during Q1 2024. BMW has developed a system and method for providing personalized recommendations to users within a vehicle based on their current emotional state. The system detects the user’s emotions in real time, determines a recommendation that aligns with their behavior habits, and outputs the recommendation in the vehicle. The user’s profile is generated by analyzing historical data from a third-party service. GlobalData’s report on Bayerische Motoren Werke gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Bayerische Motoren Werke grant share with ecommerce as a theme is 28% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method and system for providing recommendation service to user within vehicle (Patent ID: US20240025424A1)
The patent filed by Bayerische Motoren Werke AG describes a system and method for providing a recommendation service to a user within a vehicle. The system involves detecting the user's emotional state in real-time, determining a recommendation service based on the emotional state and user profile generated from historical data, and outputting the recommendation service within the vehicle. The method utilizes a recommendation model based on a neural network trained on various data including product information, service information, geographical information, and emotional information.
Furthermore, the system includes components such as an emotional detection device, recommendation engine, and output device to facilitate the process. The emotional detection device utilizes sensors to gather data related to the user's emotional state, while the recommendation engine uses this data to provide recommendations tailored to the user's behavior habits. The output device then delivers these recommendations through various means such as speakers, displays, air conditioners, and seat adjustment devices. Overall, the system aims to enhance the user experience within the vehicle by offering personalized recommendations based on real-time emotional states and historical user data.
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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.
