Research And Practice Of Clothing Collocation Recommendation System Design From Sundance.

Recently,the changes in the market situation of the traditional apparel industry have become increasingly complex,facing the pressures arising from the fierce competition in the market due to the differentiation of consumption levels,the proportion of apparel costs that has been rising,and the consumption upgrade phenomenon caused 'by the replacement of consumer target groups.China's garment industry is in urgent need of enterprise transformation and upgrading.The business sector is the link between producers and consumers.Based on this,companies should shift their focus to enhance designers' production and R&D efforts,in line with the essential needs of brand consumers.The service-based industrial upgrading strategy completes the transformation from the traditional manufacturing industry to the service-oriented transformation,and strives to find breakthrough opportunities.The interior of the garment industry is a combination of science and art.The core competition factor is to meet the aesthetic needs and value orientation of the target customers.Therefore,the communication channel between the real brand consumers and designers is a crucial link.Manufacturing industry is the basis and prerequisite for the development of producer services.Service industry is an enssencial guarantee for the long-term and effective development of the manufacturing industry.Based on the purpose of helping garment companies better cater to the current market trends and attract the attention of target customers,a step forward in the service industry is to cater to the needs of brand consumers and establish a connection between designers and consumers.The real demand can be reflected in the designer's products.This article aims to improve the design and production of collaborative efficiency for the purpose of in-depth construction and design of a personalized clothing match recommendation system to help companies obtain real and effective target customer clothing match preference data,to help corporate designers better close to the brand consumer groups,faster Respond to the needs of market trends,seize target customers' core needs and pain points,and at the same time,companies can more rationally conduct the configuration and management of shopping guides.The design research work of this inscription mainly includes:first,through the current situation of the clothing industry and the existing personalized clothing match recommendation system case studies and analysis,to build the target user and operation flow of the personalized clothing match recommendation system.Second,adopt multiple research methods to conduct user research on brand core user groups and shopping guide groups,explore users' pain points and needs,identify product positioning,determine functional structure,conduct design practice and development,and usability testing and optimization.This topic is based on the national project "Development and Application of Key Technologies for Industrial Design and Apparel Industry Development Based on Cloud Services"(2015BAH22F00).The design practice and thesis output of Hunan Dongfang Fashion(Shandex)Co.,Ltd.are carried out.Under the fierce environmental competition in the apparel market,how to get the designer to approach the real demands of real consumers by obtaining customer match preference data,grab design inspiration,and achieve the purpose of improving efficiency,is the core of the system design process has been focused in this article Problems.