Research Article
Implementation of Digitalized Technologies for Fashion Industry
4.0: Opportunities and Challenges
Shaik Vaseem Akram ,
1,2
Praveen Kumar Malik ,
3
Rajesh Singh ,
1,4
Anita Gehlot ,
1,4
Ashima Juyal ,
1
Kayhan Zrar Ghafoor ,
5,6
and Sachin Shrestha
7
1
Uttaranchal Institute of Technology, Uttaranchal University, Dehradun 248007, India
2
Law College of Dehradun, Uttaranchal University, Dehradun 248007, India
3
School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India
4
Department of Project Management, Universidad Internacional Iberoamericana, Campeche, C.P. 24560, Mexico
5
Department of Computer Science, Knowledge University, University Park, Kirkuk Road, Erbil, 44001, Iraq
6
Department of Software & Informatics Engineering, Salahaddin University-Erbil, Erbil 44001, Iraq
7
Department of Electronics and Communication Engineering, Nepal Engineering College, Pokhara University, Bhaktapur, Nepal
Correspondence should be addressed to Sachin Shrestha; sachins@nec.edu.np
Received 1 July 2022; Accepted 26 July 2022; Published 17 August 2022
Academic Editor: Punit Gupta
Copyright © 2022 Shaik Vaseem Akram et al. is is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is
properly cited.
e Sustainable Development Goals of the United Nations prioritize sustainability by 2030. e fashion industry is one most
substantial manufacturing industries that generate an economy of 3 trillion dollars and contributes to 2% of the world’s gross
domestic product. In addition to this, the fashion industry must focus on social and environmental concerns, where it should
create fashionable products to promote sustainable consumption and production. Sustainable consumption and production can
be achieved with the establishment of resilient infrastructure with innovation. e resilient infrastructure with innovation is
realized by the integration of digital technologies such as the Internet of ings (IoT), artificial intelligence (AI), blockchain,
augmented reality (AR), and virtual reality (VR). With this motivation, this study explored the different studies that implemented
these technologies in the fashion industry for smart cloth (health), supply chain, circular economy, dress recommendation system,
fashion trend forecasting, health prediction, and virtual and augmented based shopping experience. Along with the progress of
these technologies in the fashion industry, the study also discussed limitations and provided recommendations such as wide
adoption of blockchain in fashion supply chain; advancement in energy storage for smart cloth; integration of IoT, AI, and edge
computing; and smart clothing-based framework for rescue operation for future enhancement.
1. Introduction
e fashion industry is one most significant manufacturing
industries that generate an economy of 3 trillion dollars and
contributes to 2% of world gross domestic product (GDP)
[1]. e fashion industry plays a crucial role in the design,
manufacturing, and selling of clothes and garments.
Moreover, the industry encompasses diverse sectors, in-
cluding fabrication of raw materials, manufacture of fashion
clothes and garments by designers, commercialization, and
marketing communication [2]. However, according to
United Nations, the fashion industry has a lack of concern
for social and environmental issues [3] as it produces 8–10%
of the global CO
2
emissions [4, 5], consumes 79 trillion liters
of water per year, contributes to 35% of microplastic pol-
lution, and generates >92 million tonnes of textiles waste per
year [6]. e fashion industry is also a contributor to the
United Nations sustainable development goals (SDGs) for
social, economic, and environmental sustainability [7], and
it needs to achieve the following major SDGs: goal 9: build
resilient infrastructure, promote inclusive and sustainable
industrialization, and foster innovation [8]; goal 12: ensure
Hindawi
Scientific Programming
Volume 2022, Article ID 7523246, 17 pages
https://doi.org/10.1155/2022/7523246