| At a time when productivity has been greatly enhanced,leaps in science and technology are also driving up the quality of life.Maslow’s Pyramid of Needs explains why there is a growing interest and demand for personalised services in today’s society.As mankind moves into the age of information technology and Industry 4.0,productivity advances have led to a greater awakening to the need for personalisation that sets people apart from others.The awakening of young people’s self-awareness in the context of contemporary society is even more evident,as the new generation is slowly moving away from group labelling while also pursuing more tailored and personalised services.The demand for refined,personalised and diverse products is slowly replacing mass-produced industrial products.In this process of transformation,many small and medium-sized enterprises are often faced with the pain of transformation or are unable to adhere to the full transformation due to the lack of design capabilities.Among the latest technological frontiers,the research and application of big data is better able to provide assistance and direction for the development and design of products for individual people because of the way it applies to a wide variety of data and information systems for efficient processing.The application and research of Big Data as a productivity enhancement tool for individuals is mostly based on web-based products that look to internet users,but in fact industrial development also requires Big Data user analysis to assist SMEs in adapting to the market.Design and production in the new market mechanism if still developed according to traditional design methods is presented as more inefficient compared to the application of big data analysis methods.Today,with simpler and simpler programming frameworks,the trend is to use tools to improve efficiency.Therefore,this paper will discuss how to make it easier to access information on the internet,build a database and user model of the personalized consumer market,and apply it to the study of the personalized market to better help small artisanal enterprises to locate user needs,and finally give design suggestions to assist enterprises or designers to complete orders from user needs,helping small enterprises in a difficult transition period to complete their digital transformation.We help small businesses in a difficult transition phase to complete their digital transformation.Finally,further validation and aggregation based on the project’s experiments will provide a new way of practising personalised dress-up doll clothing product design for the future.It will provide some more scientific guidance for the design and production of this type of personalised product and help companies with such needs to better adapt to changes in the market. |
