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Integration of Artificial Intelligence Technology Towards E-Services Among Online Clothing Websites
Sharon Sophia. J1, J. Clement Sudhahar2

1Ms. Sharon Sophia. J*, Research Scholar, Department of Management Studies, Karunya Institute of Technology and Sciences, Coimbatore, India.
2Dr. J. Clement Sudhahar, Professor in Marketing and Research, Department of Management Studies, Karunya Institute of Technology and Sciences, Coimbatore, India.
Manuscript received on November 13, 2019. | Revised Manuscript received on 22 November, 2019. | Manuscript published on December 10, 2019. | PP: 1562-1567 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7266129219/2019©BEIESP | DOI: 10.35940/ijitee.B7266.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Online Apparel Industry is one of the growing industries among many other online markets. The industry is moving towards a major technological shift due to new and innovative tools such as Artificial Intelligence (AI), Virtual Reality (VR) and Augmented Reality (AR). Customer Experience Management is highly influenced by gaining customer satisfaction via integrated AI technology for providing efficient customer service. This study emphasizes the intervention of AI technology with online clothing websites such as Jabong and Myntra. The findings explore that Customer Relationship Management (CRM) Services, Personalization services, Visual Assistance and Fit Intelligence Services are enhanced from AI tools that lead to Customer Satisfaction and Customer Retention. The research utilized non-probability Judgmental Sampling and snowball sampling where the respondents belong to Tamil Nadu State and were genuine online customers who purchase clothes from online clothing websites. Keywords: Online Apparel Industry, Artificial Intelligence Technology, Customer Satisfaction, Customer Retention
Keywords: Security, Firefly, Problem Identification, Problem Solving, Performance analysis.
Scope of the Article: Artificial Intelligence