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Research Paper | Business Management of Fashion | India | Volume 10 Issue 6, June 2021 | Popularity: 5.1 / 10
Artificial Intelligence and Global Fashion Trends
Rebecca F Dsouza
Abstract: Artificial Intelligence (AI)breaks all barriers of convention and disrupting the creative apacein areas like art, music, and fashion design in the Fashion Industry. This research is carried out by a sustainable supply chain that mainly focuses on one of the stages and studies the impact and significance of Artificial Intelligence in the fashion industry. Maybe through the Ecommerce market or the current scenario of digital and technological innovation. With the popular databases ?Scopus and WEB of Science? where the first research article is machine language, expert systems, decision support systems, optimization, image recognition, and computer vision, these are based on supply chain stages targeting the Design Process, targeting the Process designing in Fashion management, furthermore, the supply chain stages were classified based Business to Business and Business to Customer to get a broader outlook in the Industry. Now with AI in the fashion industry (2021), this has entrenched 44% of the fashion retailers who do not indulge in AI, are facing bankruptcy. As a global trend AI technologies are expected to reach 7.3 billion each year in the fashion Industry. Visual Merchandising had enabled technologies, augmented reality with virtual reality that is closing the gaps between online and in-store shopping experiences. Shoppers online can access any merchandise through digital media. Now with machine learning algorithms can accurately predict the inventory. This will help in reducing wastage and unsold inventory costs. Research gaps are still to be identified in the application of Artificial Intelligence techniques. The supply chain stages form business based on the gaps.
Keywords: Artificial Intelligence, Big data analytics, Design Process, ECO- Systems, Supply chain, Digital Transformation
Edition: Volume 10 Issue 6, June 2021
Pages: 841 - 843
DOI: https://www.doi.org/10.21275/SR21613172124
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