Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

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Application Research on Customer Service Robot of State Grid E-learing Based on RPA Technology

Authors
Kaili Guo1, *, Guangpeng Liu1, Jie Zhan1, Zhuoyue Li1, Zhe Zhang1, Qianhui Yu1, Yixing Qi1, Guihua Lin1, Kai Zhang1
1State Grid of China Technology College, Jinan, China
*Corresponding author. Email: guokaili2014@163.com
Corresponding Author
Kaili Guo
Available Online 26 September 2023.
DOI
10.2991/978-94-6463-238-5_3How to use a DOI?
Keywords
RPA robot; State Grid E-learing; Customer Service; efficiency and accuracy of operations
Abstract

State Grid E-learing is an online learning service platform for the construction, promotion and application of State Grid Corporation of China, serving the training and learning of more than 1.5 million employees of the company. In order to explore and improve the customer service operation quality and efficiency of the State Grid E-learing, accelerating it’s digital transformation of customer service profession, The RPA robot was applied to the business process of administrators based on State Grid E-learing and conduct case development for three commonly used typical application scenarios in this paper. The practical results show that the application cases developed in this paper can accurately and efficiently realize the automation of some74/ business processes of the State Grid E-learing, improve the efficiency and accuracy of operations, optimize the operating environment of the State Grid E-learing, and provide a strong support guarantee for further deepening the digital transformation of training work.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
26 September 2023
ISBN
10.2991/978-94-6463-238-5_3
ISSN
1951-6851
DOI
10.2991/978-94-6463-238-5_3How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Kaili Guo
AU  - Guangpeng Liu
AU  - Jie Zhan
AU  - Zhuoyue Li
AU  - Zhe Zhang
AU  - Qianhui Yu
AU  - Yixing Qi
AU  - Guihua Lin
AU  - Kai Zhang
PY  - 2023
DA  - 2023/09/26
TI  - Application Research on Customer Service Robot of State Grid E-learing Based on RPA Technology
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 11
EP  - 18
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_3
DO  - 10.2991/978-94-6463-238-5_3
ID  - Guo2023
ER  -