Enhancing Customer Relationship Management (CRM) through AI-Powered Chatbots and Machine Learning

Authors

  • Ravi Teja Potla Department Of Information Technology, Slalom Consulting, USA Author

Keywords:

CRM, AI, Machine Learning, Chatbots, Customer Engagement, Automation, Predictive Analytics

Abstract

Customer Relationship Management (CRM) systems have evolved significantly with the advent of Artificial Intelligence (AI) and Machine Learning (ML), offering sophisticated tools for enhancing customer interactions and driving business success. Among these innovations, AI-powered chatbots have become pivotal in automating and personalizing customer service, sales, and marketing. This paper explores the integration of AI, chatbots, and ML within CRM systems, highlighting their applications, benefits, and challenges. We provide a comprehensive analysis of how these technologies are reshaping customer engagement strategies and propose future research directions. This paper aims to contribute to the growing body of knowledge in CRM and AI, emphasizing the importance of continuous innovation in these fields.

Downloads

Download data is not yet available.

References

Berson, A., Smith, S., & Thearling, K. (1999). Building Data Mining Applications for CRM. McGraw-Hill, Inc.

Davenport, T. H., & Harris, J. G. (2007). Competing on Analytics: The New Science of Winning. Harvard Business Review Press.

Zaki, M., & Neely, A. (2019). Customer Experience Analytics: Dynamic Customer-Centric Insight at Scale. Journal of Service Research, 22(3), 280-298.

Shah, D., Rust, R. T., Parasuraman, A., Staelin, R., & Day, G. S. (2006). The Path to Customer Centricity. Journal of Service Research, 9(2), 113-124.

Fingar, P., & Aronica, R. (2001). The Death of e-Business: A Strategic Guide to Integrating the Internet into Your Business. Springer-Verlag.

Pan, S. L., & Leidner, D. E. (2003). Bridging Communities of Practice with Information Technology in Pursuit of Global Knowledge Sharing. Journal of Strategic Information Systems, 12(1), 71-88.

Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.

King, S. F., & Burgess, T. F. (2008). Understanding Success and Failure in Customer Relationship Management. Industrial Marketing Management, 37(4), 421-431.

Ngai, E. W. T., Xiu, L., & Chau, D. C. K. (2009). Application of Data Mining Techniques in Customer Relationship Management: A Literature Review and Classification. Expert Systems with Applications, 36(2), 2592-2602.

Grönroos, C. (1994). From Marketing Mix to Relationship Marketing: Towards a Paradigm Shift in Marketing. Management Decision, 32(2), 4-20.

Rust, R. T., & Chung, T. S. (2006). Marketing Models of Service and Relationships. Marketing Science, 25(6), 560-580.

Van Bommel, J., Edelman, D., & Ungerman, K. (2014). Digitizing the Consumer Decision Journey. McKinsey Quarterly, (6), 68-76.

Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson Education.

Li, H., & Zhai, X. (2018). The Impact of AI on Customer Relationship Management. Journal of Artificial Intelligence Research, 62(1), 435-455.

Johnson, G., & Brown, D. (2019). Ethical Considerations in AI-Powered CRM. Journal of Business Ethics, 163(2), 331-344.

Bose, R. (2002). Customer relationship management: key components for IT success. Industrial Management & Data Systems, 102(2), 89-97.

Ngai, E. W. T., Xiu, L., & Chau, D. C. K. (2009). Application of data mining techniques in customer relationship management: A literature review and classification. Expert Systems with Applications, 36(2), 2592-2602.

Lior, R., & Zhu, J. (2020). The effects of machine learning on marketing performance. Journal of Marketing Analytics, 8(2), 89-103.

Coussement, K., Van den Poel, D., & Benoit, D. F. (2014). Improving customer complaint management through online complaint classification using decision rules. Decision Support Systems, 77, 40-47.

Kietzmann, J., Paschen, J., & Treen, E. R. (2018). Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58(3), 263-267.

Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.

Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587-595.

Sharda, R., & Delen, D. (2021). Analytics, Data Science, and Artificial Intelligence: Systems for Decision Support. Pearson.

Downloads

Published

04-02-2023

How to Cite

[1]
R. T. Potla, “Enhancing Customer Relationship Management (CRM) through AI-Powered Chatbots and Machine Learning”, Distrib Learn Broad Appl Sci Res, vol. 9, pp. 364–383, Feb. 2023, Accessed: Dec. 23, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/85

Similar Articles

61-70 of 206

You may also start an advanced similarity search for this article.