Year: 2024
Type: article
Abstract: This study explores the impact of big data on the fashion industry. Through analysis of market trend forecasting, supply chain management, personalized design and customization, optimization of marketing strategies, acceleration of market responsiveness, enhancement of market competitiveness, and improvement of consumer experience, the potential applications of big data in the fashion sector are further elucidated. The research reveals that big data can effectively boost overall operational efficiency in the fashion industry, enabling companies to achieve precise marketing, optimize inventory management, shorten time-to-market for products, reduce operational costs, and enhance market competitiveness. However, the application of big data in the fashion industry also presents challenges such as data security and privacy protection, risks of data breaches, security of data storage and transmission, and barriers to data analysis technology. Therefore, when utilizing big data technologies, businesses must strengthen data security measures, enhance data analysis capabilities, ensure the lawful use of data, and strive for sustainable development.
Author: Yucheng Gong
Institution: Wuhan University of Science and Technology
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4405793086