Exploring the Transformative Impact of AI Chatbots on Customer Service: Efficiency, Engagement, and Conversions Across Industries
DOI:
https://doi.org/10.61856/hfn80e17Keywords:
AI chatbots , Customer service , Operational efficiency , User engagement, Natural language processingAbstract
AI chatbots are transforming customer service by enhancing efficiency, personalization, and accessibility across various industries. This study examined the effectiveness of AI chatbot solutions within three sectors: government services, higher education, e-commerce platforms. Notable benefits included faster response times, which increased trust in government services; substantial cost savings of 70% paired with improved multilingual support for educational institutions; and a 40% increase in customer engagement resulting in a 25% rise in conversion rates within the e-commerce sector. The findings of this research underscore the significant role of AI chatbots in enhancing operational efficiency, user satisfaction, and service quality across various industries, ultimately driving higher conversion rates. These advancements highlight the growing necessity for businesses to adopt AI-driven tools to remain competitive and meet evolving user expectations
References
Mordor Intelligence. (n.d.). Global chatbot market - Growth, trends, (2023 - 2029). Retrieved November 20, 2024, from https://www.mordorintelligence.com/industry-reports/global-chatbot-market
Lubbe, I., & Ngoma, N. (2021). Useful chatbot experience provides technological satisfaction: An emerging market perspective. SA Journal of Information Management, 23(1), Article 1299. https://doi.org/10.4102/SAJIM.V23I1.1299
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2021). Artificial intelligence and business value: A literature review. *Information Systems Frontiers, 24(6), 1709–1734. https://doi.org/10.1007/s10796-021-10186-w
Adam, M., Wessel, M., & Benlian, A. (2020). Enhancing User Compliance in AI-Based Customer Service Chatbots through Anthropomorphic Design and Persuasion Techniques. Electronic Markets, 30(2), 235-256. https://doi.org/10.1007/s12525-020-00414-7
Lopez, V. B., Pablo, L. K. F., Miravite, C. J. L., Aguidan, A. K., Alaraña, K. F., & Caracena, N. F. D. (2024). AI chatbots: Elevating customer interactions amidst challenges. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), 13(5), 152-156. https://doi.org/10.51583/IJLTEMAS.2024.130515
Acharya, P. V., Shetty, P., & Sequiera, P. (2024). A study on AI and chatbots in customer experience. In Proceedings of the 5th International Conference on New Age Marketing (pp. 1–10). SDM Institute for Management Development.
https://www.sdmimd.ac.in/marketingconference2024/papers/IMC2466.pdf
Abiagom, C. N., & Ijomah, T. I. (2024). Enhancing customer experience through AI-driven language processing in service interactions. Open Access Research Journal of Emerging Technologies, 7(1), Article 27. https://doi.org/10.53022/oarjet.2024.7.1.0027
Chang, D. H., Lin, M. P.-C., Hajian, S., & Wang, Q. Q. (2023). Educational design principles for using AI chatbots that support self-regulated learning in education: Goal setting, feedback, and personalization. Sustainability, 15 (12), 12921. https://doi.org/10.3390/su151712921
Mydyti, H., & Kadriu, A. (2021). The impact of chatbots in driving digital transformation. International Journal of E-Services and Mobile Applications. https://doi.org/10.4018/IJESMA.2021100106
Kulkarni, R., & Jaiswal, D. R. C. (2023). A survey on AI chatbots. International Journal for Research in Applied Science and Engineering Technology. https://doi.org/10.22214/ijraset.2023.55911
Maher, S., Bhable, S. G., Lahase, A. R., & Nimbhore, S. (2022). AI and deep learning-driven chatbots: A comprehensive analysis and application trends. Proceedings of the International Conference on Intelligent Computing and Control Systems. https://doi.org/10.1109/ICICCS53718.2022.9788276
Talarico, D. (2018). How a ‘bot’ it? Using live chat to convert leads and serve students. Recruiting & Retaining Adult Learners. https://doi.org/10.1002/nsr.30355
Dutta, S., Arivazhagan, R., Padmini, E., Uma, & Balasundaram, R. (2024). Revolutionizing electronics e-commerce: Harnessing the power of artificial intelligence in e-marketing strategies. Migration Letters, 21(S6), 207–220
Naqvi, M. H. A., Zhang, H., Naqvi, M. H., & Kun, L. (2023). Impact of service agents on customer satisfaction and loyalty: Mediating role of chatbots. Journal of Modelling in Management. https://doi.org/10.1108/jm2-01-2023-0004
De Andrade, I. M., & Tumelero, C. (2022). Increasing customer service efficiency through artificial intelligence chatbot. Revista de Gestão. https://doi.org/10.1108/rege-07-2021-0120
Ehsani, K. L., Rhythm, E. R., Mehedi, M. H. K., & Rasel, A. A. (2023). A comparative analysis of customer service chatbots: Efficiency, usability, and application.
Downloads
Published
Issue
Section

This work is licensed under a Creative Commons Attribution 4.0 International License.