 Developing a framework of artificial intelligence for fashion forecasting and validating with a case studySatya Shankar Banerjee, Sanjay Mohapatra and Goutam Saha International Journal of Enterprise Network Management, 2021, vol. 12, issue 2, 165-180 Abstract: Artificial intelligence has become an emerging topic of great importance in fashion business recently; however, a systematic and comprehensive review of literature was yet to be carried out. We review the previous studies in the context of artificial intelligence and related technology usage by fashion companies and explore this new paradigm shift in the fashion industry. We created a framework of AI-based product forecasting in fashion and validated this framework with a case study in this paper. From online databases, books, magazines, blogs, industry reports, podcasts and even YouTube videos, relevant articles, extracts, chapters and multimedia contents were retrieved, and were systematically analysed to develop a framework. We found extensive usage of AI and machine learning in fashion industry and documented this. The framework developed by us can be applied to create products, improve margins, minimise inventory, and enhance business results in the fashion industry. Keywords: artificial intelligence; fashion forecasting; computer vision; machine learning; AI framework. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijenma:v:12:y:2021:i:2:p:165-180 Access Statistics for this article More articles in International Journal of Enterprise Network Management from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.