Design And Implementation Of Apparel Wearing Marketing Self-media System

With the widespread use the Internet,self-media has gradually evolved into an online marketing model.Consumers' demand for online clothing purchases is increasing,but due to the lack of certain clothing wear expertise,most of them consume according to their own preferences or clothing labels,with a certain blindness,in order to improve the retention rate of consumers,it is necessary to provide professional and detailed clothing recommendations.Coupled with the rapid iteration of clothing product updates,categories and labels are cumbersome and complex,manual shelves clothing difficult,how to quickly improve the "digital management capabilities" is also the critical to the survival and development of clothing brands.In response to the above problems and needs,based on the actual project of the subject group wearing self-media platform,we provide multi-faceted services for designers,consumers and brands.Through graphic collection,short video and live video,we can spread the design concept of brand designers and improve the marketing effect;based on the knowledge of many clothing experts,we can provide professional and detailed clothing recommendation service for consumers by associating with human body and clothing characteristics;we can use tag identification to simplify the process of clothing products on shelves for brands;and we can provide a social interaction channel for consumers to share their insights in different scenes by wearing communication community.In addition,technical services such as live video broadcasting,order management,logistics tracking,return and exchange settlement,and financial statistics can enhance the digital operation capability of the platform.The system adopts MVVM design pattern,using Java Script,HTML5 and CSS language combined with Vue.js framework for front-end development,using Java language combined with Spring Boot framework for back-end development,using Redis middleware and My SQL database for system data storage,using Elasticsearch for data Elasticsearch was used to achieve high performance data retrieval.Finally,the system has been deployed on Ali cloud server,which can be accessed normally by IP address and project port number,and the adaptive page layout provides comfortable visual experience and convenient service for users.