Research on Brand Database Construction System Using Computer Statistics and Big Data

Abstract

The clothing brand database is an important channel for designers to obtain fashion trends. The diversification of clothing types and artistic styles provides a variety of ideas for the classification of clothing brands. In the process of establishing a clothing brand database, we need to sum up a set of key phrases used to describe clothing brands in view of the single shortcomings of the existing clothing brand online classification query system. At the same time, we take the actual needs of the brand clothing industry development as the starting point, based on the SSI framework technology, to achieve a clothing customization information platform suitable for small batches and multiple brands, targeting user experience, and achieving rapid response. The test shows that the design of the brand clothing database construction platform meets the expected functional requirements. The design ideas and implementation methods of the system are effective and feasible. The design and implementation of the platform effectively opened the relevant information system modules of the clothing brand. This will have important reference value for promoting the intelligent manufacturing and business model transformation of clothing enterprises, and promoting the standardization and customization of clothing enterprises under the environment of industrialization 4.0.