International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Reviewer Referral Program
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 6 Issue 6
November-December 2024
Indexing Partners
The Interweaving of Artificial Intelligence in the Fashion Industry
Author(s) | Adeena Khan, Armaiti Shukla |
---|---|
Country | India |
Abstract | Artificial intelligence has become a revolutionary power in the fashion industry by reshaping the brand Artificial intelligence (AI) has emerged as a transformative force within the fashion industry, reshaping brand-consumer interactions, optimizing operations, and driving innovative product offerings. This research endeavours to explore the multifaceted role of Al in the fashion sector, delving into its meaning, diverse applications, benefits, drawbacks, and ethical considerations. The involvement of Al is manifested through a comprehensive analysis, encompassing virtual try-ons, customer service chatbots, predictive analysis, design assistance tools, and gauging customer satisfaction and market response based on these features. By leveraging Al technologies, fashion brands can enhance customer engagement, streamline operations, and deliver personalized experiences tailored to individual preferences. Moreover, the research underscores the advantages of Al adoption, including improved decision-making, expedited results, and precise design assistance, which collectively contribute to enhanced efficiency and competitiveness within the industry. However, it also highlights legitimate concerns surrounding data privacy, algorithmic bias, and the potential for job displacement resulting from increased automation. Ethical considerations play a pivotal role in the discourse surrounding Al deployment in the fashion industry. The study emphasizes the significance of addressing labour displacement issues, advocating for accountable, transparent, and fair Al practices, particularly in data collection for market response and consumer preferences. Striking a balance between technological advancement and ethical responsibility is imperative to ensure the equitable and sustainable interest of Al within the fashion landscape. Looking ahead, the research outlines future trends and advancements in Al-driven personalized styling recommendations, sustainable practices, and creativity in fashion. It advocates for a responsible Al deployment framework, which prioritizes the harmonious collaboration of humanity and technology, thereby fostering a balanced and inclusive fashion ecosystem that embraces innovation while safeguarding ethical principles. By embracing responsible Al practices, the fashion industry can harness the transformative potential of Al to drive positive change, foster creativity, and meet evolving consumer demands in an ethically conscious manner. |
Keywords | Artificial intelligence, chatbots, fashion, virtual try-on. |
Field | Computer Applications |
Published In | Volume 6, Issue 2, March-April 2024 |
Published On | 2024-04-30 |
Cite This | The Interweaving of Artificial Intelligence in the Fashion Industry - Adeena Khan, Armaiti Shukla - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.16112 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i02.16112 |
Short DOI | https://doi.org/gts4tm |
Share this
E-ISSN 2582-2160
doi
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.