Title: Developing a framework of artificial intelligence for fashion forecasting and validating with a case study

Authors: Satya Shankar Banerjee; Sanjay Mohapatra; Goutam Saha

Addresses: Department of Fashion Management Studies, National Institute of Fashion Technology, Patia, Bhubaneswar, 751024, India ' Xavier Institute of Management, 105 Gagan Awaas Apartment, Gajapati Nagar, Bhubaneswar, Odisha, 751013, India ' National Institute of Fashion Technology, D/19, Mansion Green, Raghunathpur, Bhubaneswar, Odisha, 751024, India

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.

DOI: 10.1504/IJENM.2021.116438

International Journal of Enterprise Network Management, 2021 Vol.12 No.2, pp.165 - 180

Received: 27 Jan 2020
Accepted: 04 Feb 2020
Published online: 26 Jul 2021 *

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