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Research on Intelligent Customer Service Application Architecture Based on Digital Transformation

Published: 20 November 2022 Publication History

Abstract

With the application of emerging digital information technologies such as big data, artificial intelligence and cloud computing becoming more and more mature, all walks of life are accelerating the transformation to digitization. Taking the application of China Telecom intelligent customer service as an example, this paper introduces the typical application of China Telecom customer service system in digital transformation in detail. Based on the functions of the existing customer service system, this paper puts forward the functional architecture and implementation planning scheme of intelligent application by optimizing the key modules of intelligent voice navigation. Then, combined with experimental cases, the effectiveness and feasibility of this system are verified. Finally, the future development direction is summarized and discussed. The research results of this paper strengthen the correlation between intelligent customer service application and artificial customer service, and improve the work efficiency of artificial customer service. At the same time, this paper not only provides an empirical basis for the research of enterprise application digital transformation, but also provides new insights for the optimization of other application systems.

References

[1]
Rahul De,Neena Pandey, Abhipsa Pal. 2020. Impact of digital surge during Covid-19 pandemic: A viewpoint on research and practice. International Journal of Information Management. 2020(55): 102171. https://doi.org/10.1016/j.ijinfomgt.2020.102171.
[2]
Thanh-Hiep Nguyen, Duy-Nhat Tran, Doan-Linh Vo, Van-Hung Mai, and Xuan-Quy Dao, "AI-Powered University: Design and Deployment of Robot Assistant for Smart Universities," Journal of Advances in Information Technology, Vol. 13, No. 1, pp. 78-84, February 2022.
[3]
TRAI. 2020. Press Release No.493/2020. https://www.trai.gov.in/sites/default/files/PR_No.49of2020_1.pdf.Accessed 21 Feb 2021.
[4]
Hong Chen,Ling Li&Yong Chen. 2022. Sustainable growth research – A study on the telecom operators in China. Journal of Management Analytics. 2022,Vol. 9, No. 1, 17–31.
[5]
Qi, J., Li, L., & Ai, H. 2009. A system dynamics approach to competitive strategy in mobile telecommunication industry. Systems Research and Behavioral Science: The Official Journal of the International Federation for Systems Research, 26(2), 155–168. https://doi.org/10.1002/ sres.966.
[6]
Roland T. Rust, Anthony J. Zahorik, Timothy L. Keiningham. 1995. Return on Quality (ROQ): Making Service Quality Financially Accountable, journal of marketing, 1995, 59(2): 58-70.
[7]
YU Kefeng. 2017. Research and Implementation of Intelligence Customer Service System for China Telecom. Mobile Communications,2017,41(23): 1-10(in Chinese).

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    ICISS '22: Proceedings of the 5th International Conference on Information Science and Systems
    August 2022
    188 pages
    ISBN:9781450396837
    DOI:10.1145/3561877
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    Published: 20 November 2022

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    Author Tags

    1. China Telecom
    2. Digital transformation
    3. Intelligent customer service
    4. Intelligent voice

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