Proceedings of the 5th International Conference on the Role of Innovation, Entrepreneurship and Management for Sustainable Development (ICRIEMSD-2024)

Emerging Trends and Themes in Ai-Driven Customer Engagement and Relationship Management

Authors
Alma Bici1, *, Narasimha Rao Vajjhala1
1University of New York Tirana, Tirana, Albania
*Corresponding author. Email: abici@agnagroup.com
Corresponding Author
Alma Bici
Available Online 31 December 2024.
DOI
10.2991/978-94-6463-612-3_9How to use a DOI?
Keywords
Artificial Intelligence; Customer Engagement; Relationship Management; AI-Driven Strategies; Personalized Marketing; Predictive Analytics; Customer Experience; AI Integration; Proactive Customer Service; Systematic Review
Abstract

This study examines the transformative role of artificial intelligence (AI) in customer experience, engagement, and relationship management through a systematic literature review. This study examines the current advancements, identifying key trends and technological implementations enhancing customer interactions and satisfaction. This study also investigates various AI-driven strategies organizations employ to enhance deeper customer engagement and build long-lasting relationships. This study comprehensively analyzes critical success factors and challenges associated with AI integration in these domains. The methodology for this study involves a structured search and selection process across multiple academic databases, followed by qualitative content analysis to extract and categorize relevant findings. This study uses PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to ensure a transparent and rigorous review process with the findings presented through themes derived from the analysis of the literature, providing a complete understanding of the current state of AI applications in customer-centric strategies. This study also presents future research directions, emphasizing emerging technologies and innovative approaches to assist customer experience management. This review aims to provide a complete understanding of the current state of AI applications in customer-centric strategies and offer valuable insights for academics and practitioners looking to navigate and contribute to this evolving field.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 5th International Conference on the Role of Innovation, Entrepreneurship and Management for Sustainable Development (ICRIEMSD-2024)
Series
Advances in Economics, Business and Management Research
Publication Date
31 December 2024
ISBN
978-94-6463-612-3
ISSN
2352-5428
DOI
10.2991/978-94-6463-612-3_9How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Alma Bici
AU  - Narasimha Rao Vajjhala
PY  - 2024
DA  - 2024/12/31
TI  - Emerging Trends and Themes in Ai-Driven Customer Engagement and Relationship Management
BT  - Proceedings of the 5th International Conference on the Role of Innovation, Entrepreneurship and Management for Sustainable Development (ICRIEMSD-2024)
PB  - Atlantis Press
SP  - 113
EP  - 127
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-612-3_9
DO  - 10.2991/978-94-6463-612-3_9
ID  - Bici2024
ER  -