Author(s)

Huaiqun Sun

Corresponding Author

Huaiqun Sun

Abstract

With the rapid development of big data technology, the fashion design industry is undergoing a profound transformation. The widespread application of big data provides a new perspective and means for clothing design and marketing, making traditional design processes and marketing models more intelligent, precise, and efficient. Based on big data technology, designers can deeply explore market trends, accurately analyze consumer behavior preferences, and achieve innovative designs centered on consumers. Meanwhile, precision marketing provides a scientific basis for enterprises to optimize resource allocation and enhance marketing effectiveness through real-time analysis of user profiles, consumer behavior, and market feedback. This article starts with the practical application of big data in clothing design and marketing, explores how to optimize the design process and improve design efficiency through data-driven design thinking, and proposes personalized customization strategies based on big data. In addition, this article deeply analyzes the precision marketing model supported by big data, and dissects its key role in user behavior prediction, real-time recommendation, personalized service, and other aspects. This article also proposes strategies to address the challenges faced in the application of big data, such as privacy protection, technological costs, and data silos.

Keywords

Big Data; Clothing Design; Precision Marketing; Design Strategy