Nippon Telegraph and Telephone had 22 patents in ecommerce during Q1 2024. The patents filed by Nippon Telegraph and Telephone Corp in Q1 2024 involve technology for estimating purchase intention based on voice data features and customer emotions, as well as determining the feasibility of transaction contracts between users based on expected values calculated from transaction actions and user information. GlobalData’s report on Nippon Telegraph and Telephone gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Nippon Telegraph and Telephone grant share with ecommerce as a theme is 40% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Consumer behavior prediction method, consumer behavior prediction device, and consumer behavior prediction program (Patent ID: US20240013239A1)
The patent filed by Nippon Telegraph and Telephone Corp. describes a method and device for predicting consumer behavior based on voice data. The method involves acquiring voice feature quantity vectors, emotion expression vectors, and purchase intention vectors related to the input voice data. A model is then generated through learning to estimate the purchase intention of a customer based on these vectors. The learning process can use the emotion expression vector as an intermediate output, and additional vectors such as product information and customer information can be incorporated to enhance the model.
The consumer behavior prediction device includes a memory and processor programmed to acquire the necessary vectors from voice data and generate a model for estimating purchase intention through learning. The device can further incorporate product information and customer information vectors to improve the accuracy of predictions. Additionally, a non-transitory computer-readable recording medium is provided with a program for executing the acquisition and learning steps to predict consumer behavior based on voice data. Overall, the patent outlines a comprehensive approach to predicting consumer behavior using voice data and various vectors related to emotions, purchase intentions, products, and customer attributes.
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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.
