International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Analysing the Role of Artificial Intelligence in Customer Experience and Enhancin Retention

Author(s) David Vasanth Kumar A, Dr ELIZABETH RENJU KOSHY
Country India
Abstract Examining the use of artificial intelligence in improving customer experience and retention across diverse businesses. As enterprises progressively integrate AI technology, comprehending their influence on customer interactions is essential for sustaining a competitive advantage. The research examines several AI applications, such as chatbots for customer care, predictive analytics for analyzing consumer behavior, and tailored marketing techniques utilizing machine learning. This article analyzes existing literature and detailed case studies to assess how AI-driven solutions boost service efficiency, customize client experiences, and improve satisfaction. It underscores the efficacy of AI in discerning client wants and preferences, allowing firms to customize their services accordingly. The study also examines possible hurdles, including data privacy issues and the necessity for human oversight; therefore, it provides a balanced viewpoint on AI applications. Principal findings demonstrate that enterprises utilizing AI enhance customer interaction and see substantial growth in retention rates. By anticipating client requirements and delivering prompt assistance, AI cultivates loyalty and promotes repeat patronage. The study ends with useful tips for businesses that want to use AI well, stressing how important it is to include these technologies in customer experience plans for long-term success in a world that is becoming more and more digital.
Keywords artificial intelligence , AI applications , AI-driven solutions boost service
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-02-26
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.37800
Short DOI https://doi.org/g86w66
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E-ISSN 2582-2160
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