TECHNOLOGY INNOVATION HOLDS THE KEY TO VICTORY FOR THE FASHION INDUSTRY'S BRIGHT FUTURE.
DOI:
https://doi.org/10.29121/shodhkosh.v5.i5.2024.1964Keywords:
Virtual Reality, Augmented Reality, Evolution, Technology, Customer Satisfaction, SustainabilityAbstract [English]
The fashion sector has been in the forefront of implementing cutting-edge technologies for the last ten years. From the first sewing machine uses for fabric creation to cutting-edge developments like biodegradable fabrics, fashion rental applications, and even needle-free stitching processes, this evolution covers it all. As technology is advancing rapidly in today's world, the arrival of artificial intelligence represents a major turning point in the industry. Notably, artificial intelligence (AI) is increasing production efficiency in the fashion industry, augmented reality is improving the customer shopping experience, and virtual platforms are boosting the industry's economy.
Among the most recent technological developments, artificial intelligence is noteworthy when considering evolution. AI is revolutionizing the fashion business by driving efficiency out of large-scale production processes. The current state of technology in the sector is unparalleled.
The fashion industry has been at the forefront of using cutting-edge technology during the past ten years. The fashion business has undergone many advances in the previous few years, including the introduction of needleless sewing, biodegradable materials, sewing machines for fashion products, and fashion rental apps. Artificial intelligence marks the beginning of fashion evolution. The usage of technology in fashion is at its peak right now. Technology includes artificial intelligence, which is increasing the fashion manufacturing industry's production capacity; augmented reality, which improves the shopping experience for customers; and virtual outlooks, which raise the fashion industry's remunerative economy.
Artificial intelligence is the newest technological advancement when it comes to evolution. There has never been more technology in fashion as there is right now. Large production lines are being optimized by artificial intelligence, consumer experiences are being improved by augmented reality, and profitable new revenue streams are being created by the virtual world.
One of the most obvious changes in the fashion sector is attributed to e-commerce. Online shoppers are becoming more and more accustomed to its convenience. Innovative digital strategies have been adopted by fashion firms to establish a connection with their target audience. Among these cutting-edge technology are virtual fitting rooms, which let buyers make more rash selections by showing them how a product would seem on their particular body type.
To improve efficiency, artificial intelligence is also being used in the design process. For instance, designers can use it to digitally resize clothes without having to make them, change colors, and even create visual backdrops that give buyers a clear idea of how a garment will look in general. This method conserves materials and time.
E-commerce has caused one of the most noticeable shifts in the fashion business. Online purchasing is getting increasingly popular due to its convenience. Fashion brands are starting to use cutting-edge digital strategies to connect with their target market. Virtual fitting rooms, one of the more sophisticated technologies, allow buyers to try on clothing and see how it fits their body type, which encourages more impulsive decision-making.
Artificial intelligence (AI) is used in the fashion design process to make the process much simpler. For example, AI can be used to digitally resize a garment without actually making it, change its color digitally, and create a visual backdrop that will allow the buyer to make an accurate judgment about the garment's overall appearance. This conserves resources and time, which
The introduction of 3D printing is a huge technological advancement that enables firms to reach a wider customer base. Furthermore, automation is essential for increasing output rates. Innovative production processes, like digital pattern-making procedures, computerized laser cutting equipment, and design software, are also revolutionizing the fashion business.
References
Ashdown, S.P. and Dunne, L. (2006), “A study of automated custom fit: readiness of the technology for the apparel industry “Clothing and Textiles Research Journal, Vol. 24 No. 2, pp. 121-136. DOI: https://doi.org/10.1177/0887302X0602400206
Baytar, F. and Ashdown, S. (2015), “An exploratory study of interaction patterns around the use of virtual apparel design and try-on technology, fashion practice “The Journal of Design, Creative
Chen, C.M. (2007), “Fit evaluation within the made-to‐measure process”International Journal of Clothing Science and Technology, Vol. 19 No. 2, pp. 131-144 DOI: https://doi.org/10.1108/09556220710725720
Fele B, Lampe A, Peer P, et al. C-VTON: Context-driven image-based virtual try on network[C] Proceedings of the IEEE/CVF winter conference on applications of computer vision. 2022: 3144-3153. 10. DOI: https://doi.org/10.1109/WACV51458.2022.00226
Jetchev N, Bergmann U. The conditional analogy gan: Swapping fashion article son people images[C] Proceedings of the IEEE international conference on computer vision workshops. 2017: 2287-2292. DOI: https://doi.org/10.1109/ICCVW.2017.269
Minar M R, Tuan T T, Ahn H, Cp-vton+: Clothing shape and texture preserving image based virtual try-on [C] Conference on Computer Vision and Pattern Recognition Workshops. 2020, 3: 10-14. 9. DOI: https://doi.org/10.1109/ACCESS.2021.3059701
Process & the Fashion Industry, Vol. 7 No. 1, pp. 31-52.
Shah, V., & Agarwal, S. (n.d.). Technology innovation in the fashion industry. In Mody University of Science and Technology, Mody University of Science and Technology .
Xie Z, Huang Z, Dong X, et al. GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning[C] Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023: 23550-23559. 11. DOI: https://doi.org/10.1109/CVPR52729.2023.02255
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Smriti Agarwal

This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.