1James Tetteh Ademtsu, 2Dr. Pragya Pathak, 3Osei Dinah Bridget Oduraa
1Department of Fashion Design and Technology, Takoradi Technical University, Takoradi, Ghana
2Assistant Professor PID, Dept. of Fashion Design, Parul University, Vadodara, Gujarat
3Creative Arts Department, Bia Lamplighter College of Education
DOI : https://doi.org/10.47191/ijmra/v6-i10-57Google Scholar Download Pdf
ABSTRACT:
The study focuses on how AI may help with visual searches and personalised suggestions for online buying. To provide personalised apparel suggestions based on individual tastes, AI systems may analyse customer data and behaviour. Customers may use photographs as search queries to locate comparable fashion goods thanks to visual search capabilities driven by AI, which makes online shopping more effective and practical. The ethical and societal ramifications of AI in the fashion business are also covered in the research. In light of the volume of personal data that AI systems gather, it examines privacy and data security issues. It also examines the influence of AI algorithms' inclusion and prejudice on fashion suggestions. The study also looks at how AI may affect the workforce and traditional retail occupations, considering the automation of some processes and the demand for new skill sets. Another important component of background research is comprehending customer impressions of the adoption of AI in the fashion business. By accomplishing these objectives, the study intends to provide a comprehensive understanding of the role of AI in transforming the physical and online shopping experience of clothes and fashion products, including its benefits, challenges, and implications for consumers and the fashion industry as a whole. To evaluate whether AI systems can improve the shopping experience, researchers may create proof-of-concept models or prototypes. Virtual stylists, individualised product suggestions, virtual changing rooms, and tools for analyzing fashion trends based on AI are a few examples of these prototypes. research limitations highlight the complexities and evolving nature of studying the role of AI in transforming the shopping experience of clothes and fashion products. Researchers must acknowledge and address these limitations to provide meaningful and actionable insights for the industry. Researchers can improve the development and responsible application of AI technologies in the fashion sector by focusing on these areas, which will ultimately improve customers' overall purchasing experiences.
KEYWORDS:Artificial Intelligence, Online shopping, Fesion products
REFERENCES:1) Aggarwal, S., Bhardwaj, P., & Arora, J. 2020. 9 AI in Fashion. Transforming Management Using Artificial Intelligence Techniques, 129.
2) Aggarwal, S., Bhardwaj, P., & Arora, J. 2020. Ai in fashion: Present and future applications. In Transforming Management Using Artificial Intelligence Techniques (pp. 19-141). CRC Press.
3) Attaran, S., Attaran, M., & Kirkland, D. (2019). Savouring the product: A look at the impact of AI on pre and post purchase satisfaction. Global Alliance of Marketing & Management Associations.
4) Banerjee, S. S., Mohapatra, S., & Saha, G. 2021. Developing a framework of artificial intelligence for fashion forecasting and validating with a case study. International Journal of Enterprise Network Management, 12(2), 165-180.
5) Battisti, S., & Brem, A. (2020). Digital entrepreneurs in technology-based spinoffs: an analysis of hybrid value creation in retail public–private partnerships to tackle showrooming. Journal of Business & Industrial Marketing, 36(10), 1780-1792.
6) Daugherty, P. R., & Wilson, H. J. 2018. Human+ machine: Reimagining work in the age of AI. Harvard Business Press.
7) Grewal, D., Gauri, D. K., Roggeveen, A. L., & Sethuraman, R. 2021. Strategizing retailing in the new technology era. Journal of Retailing, 97(1), 6-12.
8) Ikram, M. (2022). Transition toward green economy: Technological Innovation’s role in the fashion industry. Current Opinion in Green and Sustainable Chemistry, 100657.
9) Jin, B. E., & Shin, D. C. 2021. The power of 4th industrial revolution in the fashion industry:what, why, and how has the industry changed? Fashion and Textiles, 8(1), 1-25.
10) Joy, A., Zhu, Y., Peña, C., & Brouard, M. 2022. Digital future of luxury brands: Metaverse, digital fashion, and non‐fungible tokens. Strategic change, 31(3), 337-343.
11) Kautish, P., & Khare, A. 2022. Investigating the moderating role of AI-enabled services on flow and awe experience. International Journal of Information Management, 66, 102519.
12) Khare, A., Kautish, P., & Khare, A. 2023. The online flow and its influence on awe experience: an AI enabled e-tail service exploration. International Journal of Retail & DistributionManagement, 51(6), 713-735.
13) Lee, H., & Leonas, K. 2018. Consumer experiences, the key to survive in an omni-channel environment: Use of virtual technology. Journal of Textile and Apparel, Technology and Management, 10(3).
14) Lee, H., & Xu, Y. 2020. Classification of virtual fitting room technologies in the fashion industry: from the perspective of consumer experience. International Journal of FashionDesign, Technology and Education, 13(1), 1-10.
15) Lee, Y. K. 2021. Transformation of the innovative and sustainable supply chain with upcoming real-time fashion systems. Sustainability, 13(3), 1081.
16) Micu, A., Capatina, A., Cristea, D. S., Munteanu, D., Micu, A. E., & Sarpe, D. A. 2022. Assessing an on site customer profiling and hyper-personalization system prototype based on a deep learning approach. Technological Forecasting and Social Change, 174, 121289.
17) Omar, S., Mohsen, K., Tsimonis, G., Oozeerally, A., & Hsu, J. H. (2021). M-commerce: The nexus between mobile shopping service quality and loyalty. Journal of Retailing and Consumer Services, 60, 102468.
18) Rahman, M. S., Bag, S., Hossain, M. A., Fattah, F. A. M. A., Gani, M. O., & Rana, N. P. 2023. The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement. Journal of Retailing andConsumer Services, 72, 103273.
19) Roggeveen, A. L., & Sethuraman, R. (2020). Customer-interfacing retail technologies in 2020 & beyond: An integrative framework and research directions. Journal of Retailing, 96(3), 299-309.
20) Sayed, N. A. 2019. Fashion merchandising: an augmented reality.
21) Watanabe, C., Akhtar, W., Tou, Y., & Neittaanmäki, P. 2021. Amazon's initiative transforming a non contact society-Digital disruptionleads the way to stakeholdercapitalization. Technology in Society, 65, 101596.
22) Yeo, S. F., Tan, C. L., Kumar, A., Tan, K. H., & Wong, J. K. 2022. Investigating the impact of AI powered technologies on Instagrammers’ purchase decisions in digitalization era–A study of the fashion and apparel industry. Technological Forecasting and Social Change, 177, 121551.
Volume 06 Issue 10 October 2023
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