Authors:
M. Steve Frank, M. Sophie Angel, Mohamed Ali Shajahan

Addresses:
1Department of Commerce, Loyola College, Nungambakkam, Chennai, Tamil Nadu, India. 2Department of Commerce, Stella Maris College, Gopalapuram, Chennai, Tamil Nadu, India. 3Department of Autonomous Mobility, Continental Automotive Systems Inc., Auburn Hills, Michigan, United States of America. stevefrankofficial@gmail.com1, msophieangelofficial@gmail.com2, mohamedalishajahan1990@gmail.com3

Abstract:

Many sectors see AI as crucial in customer experience transformation. According to this study, AI may be implemented into recommendation engines, chatbots, and virtual assistants to improve consumer interactions. The study uses snowball sampling to understand customer knowledge, contentment, and AI-powered technology use. AI drives personalised customer experiences in the digital realm with real-time support and customised recommendations. Natural language processing-capable chatbots and virtual assistants answer client questions and solve issues 24/7. Additionally, AI-driven recommendation engines scan massive databases to make personalised product recommendations, helping customers make informed purchases and boost pleasure. This empirical study seeks to illuminate the shifting relationship between AI and consumer experience. The research intends to provide practical insights into customer awareness, satisfaction, and engagement patterns to help firms navigate AI-driven consumer interactions. The study’s findings aim to encourage creative AI use to improve digital customer experiences and inform strategic decision-making. This study examines the changing relationship between artificial intelligence and customer experience empirically. The research intends to provide practical insights into customer awareness, satisfaction, and engagement patterns to help firms navigate AI-driven consumer interactions. The study’s findings aim to encourage creative AI use to improve digital customer experiences and inform strategic decision-making. 

Keywords: Artificial Intelligence; Customer Experience; Snowball Method; Artificial Intelligence Technology; Customer Awareness; Recommendation Engine; AI-Driven Consumer Interactions; AI-Powered Solutions.

Received on: 11/07/2023, Revised on: 02/10/2023, Accepted on: 19/10/2023, Published on: 24/12/2023

FMDB Transactions on Sustainable Technoprise Letters, 2023 Vol. 1 No. 4, Pages: 223-230

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