Business model and method based on stereoscopic vision interaction and user behavior artificial intelligence application

Abstract

The invention discloses a business mode and method based on stereoscopic vision interaction and user behavior artificial intelligence application. A digital lightweight technology is adopted to realize virtual display, data acquisition is performed on interaction behaviors, logic sequences and the like of users and the users, and the data acquisition results are compared with historical users to form decision algorithm system application conforming to the users, so that user data capture is provided for brands to realize precision marketing and potential demand trend analysis, customized application and the like; the invention belongs to a visual and artificial intelligence application business mode and method. Front-end and rear-end investigation of different personalities and preferencesis creatively met for brands, and cognitive enhancement and improvement experience on user demand points are formed; different user personality multi-dimensional data acquisition and algorithms are integrated through artificial intelligence, user optimal experience and decision logic feedback are provided in real time, the practicability of user time cost is reduced, and social popularization andapplication are achieved through artificial intelligence. A user is creatively provided for brand real feedback data capture, potential demand tendency data visualization novelty application solutionis provided, and the social resource intensive configuration utilization rate is improved.

Description

[0001] Technical field: [0002] In the process of independent interaction between the user and the brand's existing digital stereoscopic and dynamic visual content, the system combines the random data algorithm of the user's behavior personality and potential demand dimension according to the behavior logic of the existing access user's similar personality preference, and the content and angle of the visual graphic image Parameters such as text and semantics, different digital display functions related behavioral data capture, forming a data algorithm system application based on user behavior; this technology is applied to the process of physical or virtual brand marketing display, and through AI machine learning to change the traditional one-sidedness, According to the individual preferences of users, it can be used to form precise marketing for thousands of people and faces; it can be applied to scalable industrial applications such as production and manufacturing visualized f...

AI Technical Summary

Problems solved by technology

[0004] At present, the traditional brand display is still in the form of passive static or video in which users cannot participate. The dynamic content of the brand perspective is the main passive form. There is a cognitive blind spot for the core or key value of the brand, which requires repeated comparisons of similar or nearly similar brands and user experience exchanges to form a decision-making reference; third-party statistics show that online shopping needs to pay attention to four similar products of this type of product In between, an average of 150 pages are opened to form a comprehensive choice cognitive decision. It takes about 30-45 minutes to complete a shopping process, which greatly increases the user's time cost and reduces the brand experience satisfaction; Behavior and likes and dislikes cannot be known, making it difficult to meet the purpose of improving efficiency for users;

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