The Impact of Big Data on the Fashion Industry

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.

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Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2024-12-26
DOI
https://doi.org/10.54254/2754-1169/2024.ga18973
Primary Topic
Consumer Perception and Purchasing Behavior
Type
article
Field-Weighted Citation Impact
0.00
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article

The Impact of Big Data on the Fashion Industry

Yongyue Gong
Advances in Economics Management and Political Sciences
Consumer Perception and Purchasing Behavior
article

The Impact of Big Data on the Fashion Industry

Yongyue Gong
article en

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.

Advances in Economics Management and Political SciencesVol. 143(1)
Wuhan University of Science and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Consumer Perception and Purchasing Behavior
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