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Transforming Customer Relationship Management in the Digital Age

by David Wilson
1
University of Oulu
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JEIT  2021 3(2):82; https://doi.org/10.xxxx/xxxxxx
Received: 12 May 2021 / Accepted: 30 June 2021 / Published Online: 30 June 2021

Abstract

This paper investigates the transformative role of AI-driven engineering in customer relationship management (CRM) within the digital age. Through case studies and research insights, it explores how artificial intelligence is revolutionizing traditional CRM practices, including customer segmentation, personalized marketing, and sales forecasting. The study highlights the application of AI techniques such as machine learning, natural language processing, and sentiment analysis in analyzing customer data, predicting behavior, and optimizing customer interactions across various channels. Additionally, it discusses the integration of AI with CRM platforms, chatbots, and social media analytics to enhance customer engagement, satisfaction, and loyalty. The paper also addresses challenges such as data privacy, regulatory compliance, and ethical considerations in the deployment of AI-driven CRM solutions. It emphasizes the importance of customer-centric approaches, data-driven strategies, and continuous innovation to leverage AI's potential in transforming CRM practices and driving business growth in the digital era.


Copyright: © 2021 by Wilson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Wilson, D. Transforming Customer Relationship Management in the Digital Age. Journal of Engineering Innovations & Technology, 2021, 3, 82. doi:10.xxxx/xxxxxx
AMA Style
Wilson D. Transforming Customer Relationship Management in the Digital Age. Journal of Engineering Innovations & Technology; 2021, 3(2):82. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Wilson, David 2021. "Transforming Customer Relationship Management in the Digital Age" Journal of Engineering Innovations & Technology 3, no.2:82. doi:10.xxxx/xxxxxx

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References

  1. Aggarwal, C. C., & Zhai, C. (2012). Mining text data. Springer Science & Business Media.
  2. Bose, I., & Sugumaran, V. (2003). Application of data mining techniques in customer relationship management: A literature review and classification. Expert Systems with Applications, 24(1), 1-16.
  3. Coussement, K., & Van den Poel, D. (2008). Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques. Expert Systems with Applications, 34(1), 313-327.
  4. Nguyen, D., & Shen, X. (2019). A review on customer relationship management and artificial intelligence: Technologies, application, future research directions, and ethical considerations. International Journal of Information Management, 48, 193-207.
  5. Sharma, A., & Patil, A. S. (2019). A review on customer relationship management (CRM) systems: A roadmap for future. Journal of King Saud University-Computer and Information Sciences, 31(4), 484-491.
  6. Verhoef, P. C., & Leeflang, P. S. (2009). Understanding the marketing department's influence within the firm. Journal of Marketing, 73(2), 14-37.
  7. Winer, R. S. (2001). A framework for customer relationship management. California Management Review, 43(4), 89-105.