Unlocking the AI-powered customer experience: Personalized service, enhanced engagement, and data-driven strategies for e-commerce applications

Minh Tung Tran

Article ID: 4970
Vol 8, Issue 7, 2024

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Abstract


In recent times, there has been a surge of interest in the transformative potential of artificial intelligence (AI), particularly within the realm of online advertising. This research focuses on the critical examination of AI’s role in enhancing customer experience (CX) across diverse business applications. The aim is to identify key themes, assess the impact of AI-powered CX initiatives, and highlight directions for future research. Employing a systematic and comprehensive approach, the study analyzes academic publications, industry reports, and case studies to extract theoretical frameworks, empirical findings, and practical insights. The findings underscore a significant transformation catalyzed by AI integration into Customer Relationship Management (CRM). AI enables personalized interactions, fortifies customer engagement through interactive agents, provides data-driven insights, and empowers informed decision-making throughout the customer journey. Four central themes emerge: personalized service, enhanced engagement, data-driven strategy, and intelligent decision-making. However, challenges such as data privacy concerns, ethical considerations, and potential negative experiences with poorly implemented AI persist. This article contributes significantly to the discourse on AI in CRM by synthesizing the current state, exploring key themes, and suggesting research avenues. It advocates for responsible AI implementation, emphasizing ethical considerations and guiding organizations in navigating opportunities and challenges.


Keywords


artificial intelligence (AI); customer experience (CX); services management; e-commerce; data-driven strategies; AI applications; customer engagement; decision making

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References


Agrawal, A. (2017). How AI Will Change the Way We Make Decisions. Harvard Business Review.

Al-Mekhlal, M., Al-Buraik, M., & Al-Lubli, M. (2023). Digital Transformation: AI-Powered Bot Solutions and Automation for Customer Services. In: Proceedings of the 2023 International Conference on Digital Applications, Transformation & Economy (ICDATE). https://doi.org/10.1109/icdate58146.2023.10248458

Al-Mekhlal, M., Al-Buraik, M., & Al-Lubli, M. (2023). Digital Transformation: AI-Powered Bot Solutions and Automation for Customer Services. In: Proceedings of the 2023 International Conference on Digital Applications, Transformation & Economy (ICDATE). https://doi.org/10.1109/icdate58146.2023.10248458

Amarasinghe, H. (2023). Transformative Power of AI in Customer Relationship Management (CRM): Potential Benefits, Pitfalls, and Best Practices for Modern Enterprises. International Journal of Social Analytics.

Asker, J., Fershtman, C., & Pakes, A. (2023). The impact of artificial intelligence design on pricing. Journal of Economics & Management Strategy, 33(2), 276–304. https://doi.org/10.1111/jems.12516

Chatterjee, S., & Chaudhuri, R. (2023). Customer Relationship Management in the Digital Era of Artificial Intelligence. In: Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance. Springer.

de-Marcos, L., Domínguez, A., Saenz-de-Navarrete, J., et al. (2014). An empirical study comparing gamification and social networking on e-learning. Computers & Education, 75, 82–91. https://doi.org/10.1016/j.compedu.2014.01.012

Domino’s Pizza. (2023). Domino’s® and Microsoft Cook Up AI-Driven Innovation Alliance for Smarter Pizza Orders and Seamless Operations. Available online: https://ir.dominos.com/news-releases/news-release-details/dominosr-and-microsoft-cook-ai-driven-innovation-alliance (accessed on 2 January 2024).

FasterCapital. (n.d.). The Role of Artificial Intelligence in Mobile Voice Search. Available online: https://fastercapital.com/topics/the-role-of-artificial-intelligence-in-mobile-voice-search.html (accessed on 2 January 2024).

Giarmoleo, F. V., Ferrero, I., Rocchi, M., et al. (2024). What ethics can say on artificial intelligence: Insights from a systematic literature review. Business and Society Review. https://doi.org/10.1111/basr.12336

Gonzales, J. T. (2023). Implications of AI innovation on economic growth: a panel data study. Journal of Economic Structures, 12(1). https://doi.org/10.1186/s40008-023-00307-w

Haleem, A., Javaid, M., Asim Qadri, M., et al. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119–132. https://doi.org/10.1016/j.ijin.2022.08.005

Hasija, K. G., Desai, K., & Acharya, S. (2023). Artificial Intelligence and Robotic Automation Hit by the Pandemic: Reality or Myth. In: The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part B. Emerald Publishing Limited.

Hicham, N., Nassera, H., & Karim, S. (2023). Strategic Framework for Leveraging Artificial Intelligence in Future Marketing Decision-Making. Journal of Intelligent Management Decision, 2(3), 139–150. https://doi.org/10.56578/jimd020304

Jayashree, D., Pandithurai, O., Prasad, S., et al. (2021). Sentimental Analysis on Voice Based Reviews Using Fuzzy Logic. In: Proceedings of the 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). https://doi.org/10.1109/icaeca52838.2021.9675713

Josifovsk, V. (2023). The Future Of AI-Powered Personalization: The Potential of Choices. Forbes.

Kalkha, H., Khiat, A., Bahnasse, A., et al. (2023). The Rising Trends of Smart E-Commerce Logistics. IEEE Access, 11, 33839–33857. https://doi.org/10.1109/access.2023.3252566

L’Oréal USA. (2020). Interview: How Supply Chain Evolves to Meet Our Consumers’ Demands. Available online: https://www.loreal.com/en/usa/news/science-and-technology/loreal-unveils-perso-an-aipowered-athome-system-for-skincare-and-cosmetics/ (accessed on 2 January 2024).

Lu, X., Zhang, M., & Zhang, J. (2023). The relationship between social support and Internet addiction among Chinese college freshmen: A mediated moderation model. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2023.1031566

Mamakou, X. J., Zaharias, P., & Milesi, M. (2023). Measuring customer satisfaction in electronic commerce: the impact of e-service quality and user experience. International Journal of Quality & Reliability Management, 41(3), 915–943. https://doi.org/10.1108/ijqrm-07-2021-0215

Masnita, Y., Kasuma, J., & Zahra, A., et al. (2024). Artificial Intelligence in Marketing: Literature Review and Future Research Agenda. Journal of System and Management Sciences, 14, 120-140. https://doi.org/10.33168/JSMS.2024.0108

MIT Sloan Management Review. (2024). Digital Future of Management-How AI Is Transforming the Organization. Available online: https://mitpress.mit.edu/9780262538398/how-ai-is-transforming-the-organization/ (accessed on 2 January 2024).

Nalini, R. (2024). Transformative Power of Artificial Intelligence in Decision-Making, Automation, and Customer Engagement. In: Complex AI Dynamics and Interactions in Management. IGI Global.

Narayandas, D. (2023). Using AI to Adjust Your Marketing and Sales in a Volatile World. Harvard Business Review.

News Center. (2024). AI assists clinicians in responding to patient messages at Stanford Medicine. Available online: https://med.stanford.edu/news/all-news/2024/03/ai-patient-messages.html (accessed on 2 January 2024).

Ojha, N. K., Pandita, A., Nikhil, V. P., & Senyurek, E. (2024). Applications and Use of AI in e-Commerce: Opportunities and Challenges in Society 5.0. In: Artificial Intelligence and Society 5.0. Chapman and Hall/CRC.

Rashi, R., Biswal, B. K., Rao, Y. S., et al. (2024). An AI-Based Customer Relationship Management Framework for Business Applications. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 686-695.

Rawlins, N. (2023). The Future is Knowledge: How AI is Amplifying Human Potential. Available online: https://www.linkedin.com/pulse/future-knowledge-how-ai-amplifying-human-potential-nigel-rawlins/ (accessed on 2 January 2024).

Reichheld, F. F. (2003). The One Number You Need to Grow. Available online: https://hbr.org/2003/12/the-one-number-you-need-to-grow (accessed on 2 January 2024).

Roderick, L. (2017). L’Oréal on why artificial intelligence is ‘a revolution as big as the internet. Available online: https://www.marketingweek.com/loreal-artificial-intelligence/ (accessed on 2 January 2024).

Singh, N., Jain, M., Kamal, M. M., et al. (2024). Technological paradoxes and artificial intelligence implementation in healthcare. An application of paradox theory. Technological Forecasting and Social Change, 198, 122967. https://doi.org/10.1016/j.techfore.2023.122967

Stanford HAI. (2022). Deploying AI in Healthcare: Separating the Hype from the Helpful. Available online: https://hai.stanford.edu/news/deploying-ai-healthcare-separating-hype-helpful (accessed on 2 January 2024).

Wanasinghe, T. R., Galagedarage Don, M., Arunthavanathan, R., et al. (2022). Industry 4.0 based process data analytics platform. Methods in Chemical Process Safety, 6, 101–137. https://doi.org/10.1016/bs.mcps.2022.04.008




DOI: https://doi.org/10.24294/jipd.v8i7.4970

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