Understanding the Paradigm Shift to Fashion Big Data Analytics
Abstract
The fashion industry is going through an undeniable paradigm shift. From 3D fashion design, direct digital manufacturing, RFID technology, virtual tradeshows, live-streaming showrooms, social media, to online shopping, massive fashion data has become one of the core competitive advantages for fashion companies throughout the entire supply chain (Zhao & Kim, 2021). The big data revolution has created both challenges and opportunities for fashion practitioners and interdisciplinary researchers. Fashion companies are embedding analytics in their everyday operations to support data-intensive strategies. Many new research questions are emerging about how to accurately predict fashion trends in the long- and short- term; how to optimize algorithms to meet consumers’ needs and wants; how to plan assortment and present fashion products in a virtual environment; how to maximize the number of e-commerce or social media users seeing and engaging with the posts and content of fashion companies and fashion media, and how to understand the full picture of what happens during fashion event cycles. However, current fashion researchers have not sufficiently taken advantage of large-scale datasets and data science.
Keywords: Fashion, big data, data analytics
How to Cite:
Zhao, L., (2022) “Understanding the Paradigm Shift to Fashion Big Data Analytics”, International Textile and Apparel Association Annual Conference Proceedings 78(1). doi: https://doi.org/10.31274/itaa.13451
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