ICCK Transactions on Intelligent Unmanned Systems Home About Editors Current Issue
  1. Home
  2. Journals
  3. ICCK Transactions on Intelligent Unmanned Systems
  4. Volume 1, Issue 2
Dialogflow-based Robot Customer Service in Online Shopping Malls
Research Article | Published: 11 December 2024
ICCK Transactions on Intelligent Unmanned Systems Volume 1, Issue 2, 2024: 55-62
Volume 1, Issue 2, ICCK Transactions on Intelligent Unmanned Systems
Volume 1, Issue 2, 2024
Submit Manuscript Edit a Special Issue
Academic Editor
Jinchao Chen
Jinchao Chen
Northwestern Polytechnical University, China
Article QR Code
Article QR Code
Scan the QR code for reading
Popular articles
Case Studies on Integrating Artificial Intelligence in Finance to Transform Decision Making and Risk Management for Enhanced Financial Outcomes Reservoir Science: A Multi-Coupling Communication Platform to Promote Energy Transformation, Climate Change and Environmental Protection From CO$_2$ Sequestration to Hydrogen Storage: Further Utilization of Depleted Gas Reservoirs Reinforcement Learning for Prompt Optimization in Language Models: A Comprehensive Survey of Methods, Representations, and Evaluation Challenges AI and the Future of Education: Advancing Personalized Learning and Intelligent Tutoring Systems Effects of Crosslinking Agents and Reservoir Conditions on the Propagation of Fractures in Coal Reservoirs During Hydraulic Fracturing The Influence of Geological Factors and Transmission Fluids on the Exploitation of Reservoir Geothermal Resources: Factor Discussion and Mechanism Analysis YOLOv8-Lite: A Lightweight Object Detection Model for Real-time Autonomous Driving Systems Plant Disease Detection Using Deep Learning Techniques Modeling Brain Functional Networks Using Graph Neural Networks: A Review and Clinical Application
ICCK Transactions on Intelligent Unmanned Systems, Volume 1, Issue 2, 2024: 55-62

Free to Read | Research Article | 11 December 2024
Dialogflow-based Robot Customer Service in Online Shopping Malls
by
Kunhao Zhang Kunhao Zhang 1 *
Xingdong Wang Xingdong Wang 1
Yuhua Wang Yuhua Wang 1
1 College of Information Science and Engineering, Henan University of Technology, Zhengzhou 45001, China
* Corresponding Author: Kunhao Zhang, [email protected]
DOI: 10.62762/TIUS.2024.257761
ARK: ark:/57805/tius.2024.257761
Received: 30 October 2024, Accepted: 27 November 2024, Published: 11 December 2024  
   PDF  (1.22 MB)
Article Metrics Cite This Article
Abstract
With the rapid development of e-commerce, consumers encounter more and more frequent customer service problems in the shopping process, especially during peak periods, the burden of manual customer service is heavy, and it is difficult to provide timely and effective service. In addition, enterprises are faced with high labor costs and low service efficiency. However, existing customer service systems are still deficient in user experience and intelligence level. In order to solve these problems, I designed a mall system and integrated Google's Dialogflow robot service in it, which realizes intelligent customer service functions through natural language processing technology to help users get real-time and accurate responses during the shopping process. This system can significantly improve the customer experience and reduce the customer service cost of enterprises, and has a wide range of application prospects.
Graphical Abstract
Dialogflow-based Robot Customer Service in Online Shopping Malls
Keywords
online customer service
dialogflow
mall system
Funding
This work was supported without any funding.
References
  1. Vyas, B. (2023). Java-Powered AI: Implementing Intelligent Systems with Code. Journal of Science & Technology, 4(6), 1-12.
    [Google Scholar]
  2. WANG, S., LI, D., ZHAO, B., GENG, J., ZHANG, W., & WANG, H. (2021). Recent Trends in Chatbots. Geomatics and Information Science of Wuhan University, 46(2), 296-302.
    [Google Scholar]
  3. Gonzalez-Aguirre, J. A., Osorio-Oliveros, R., Rodriguez-Hernandez, K. L., Lizárraga-Iturralde, J., Morales Menendez, R., Ramirez-Mendoza, R. A., ... & Lozoya-Santos, J. D. J. (2021). Service robots: Trends and technology. Applied Sciences, 11(22), 10702.
    [Google Scholar]
  4. Ma, Z., Dou, Z., Zhu, Y., Zhong, H., & Wen, J. R. (2021, July). One chatbot per person: Creating personalized chatbots based on implicit user profiles. In Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval (pp. 555-564).
    [Google Scholar]
  5. Huang, M., Zhu, X., & Gao, J. (2020). Challenges in building intelligent open-domain dialog systems. ACM Transactions on Information Systems (TOIS), 38(3), 1-32.
    [Google Scholar]
  6. Zafar, M. (2023). Developing Smart Conversation Agent ECOM-BOT for Ecommerce Applications using Deep Learning and Pattern Matching. International Journal of Information Engineering and Electronic Business, 15(2), 1.
    [Google Scholar]
  7. Peng, Z., Jun, M., Shaozeng, D., & Kai, S. (2023). Service Agents or E-robots?——A Study on the Online Customer Service Strategy Selection for the E-retailer in the AI Era. Management Review, 35(11), 166.
    [Google Scholar]
  8. Xu, Z., & Lei, M. (2025). An Overview of Data Persistence Approaches for Enterprise Web Applications. IECE Transactions on Computer Science, 2(1), 10–17.
    [Google Scholar]
  9. H. Zhou & X. Wang (2023). Design and Implementation of3D Library Application System-Taking The Library of HenanUniversity of Technology as an Example. IECE Transactions onInternet of Things, 1(1), 22–29.
    [Google Scholar]
  10. Li, K. C., Chang, M., & Wu, K. H. (2020). Developing a task-based dialogue system for English language learning. Education Sciences, 10(11), 306.
    [Google Scholar]
  11. Baker, O., Rehman, A., Basas, O., & Liu, J. (2024, September). Deep Learning for Intelligent Customer Service Automation: Development of GRU, LSTM, and Recurrent Neural Network Architectures for Chatbot Applications. In 2024 International Conference on Information Technology Research and Innovation (ICITRI) (pp. 111-117). IEEE.
    [Google Scholar]
Cite This Article
APA Style
Zhang, K., Wang, X., & Wang, Y. (2024). Dialogflow-based Robot Customer Service in Online Shopping Malls. ICCK Transactions on Intelligent Unmanned Systems, 1(2), 55–62. https://doi.org/10.62762/TIUS.2024.257761
Export Citation
RIS Format
Compatible with EndNote, Zotero, Mendeley, and other reference managers
RIS format data for reference managers
TY  - JOUR
AU  - Zhang, Kunhao
AU  - Wang, Xingdong
AU  - Wang, Yuhua
PY  - 2024
DA  - 2024/12/11
TI  - Dialogflow-based Robot Customer Service in Online Shopping Malls
JO  - ICCK Transactions on Intelligent Unmanned Systems
T2  - ICCK Transactions on Intelligent Unmanned Systems
JF  - ICCK Transactions on Intelligent Unmanned Systems
VL  - 1
IS  - 2
SP  - 55
EP  - 62
DO  - 10.62762/TIUS.2024.257761
UR  - https://www.icck.org/article/abs/TIUS.2024.257761
KW  - online customer service
KW  - dialogflow
KW  - mall system
AB  - With the rapid development of e-commerce, consumers encounter more and more frequent customer service problems in the shopping process, especially during peak periods, the burden of manual customer service is heavy, and it is difficult to provide timely and effective service. In addition, enterprises are faced with high labor costs and low service efficiency. However, existing customer service systems are still deficient in user experience and intelligence level. In order to solve these problems, I designed a mall system and integrated Google's Dialogflow robot service in it, which realizes intelligent customer service functions through natural language processing technology to help users get real-time and accurate responses during the shopping process. This system can significantly improve the customer experience and reduce the customer service cost of enterprises, and has a wide range of application prospects.
SN  - pending
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  -
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
BibTeX format data for LaTeX and reference managers
@article{Zhang2024Dialogflow,
  author = {Kunhao Zhang and Xingdong Wang and Yuhua Wang},
  title = {Dialogflow-based Robot Customer Service in Online Shopping Malls},
  journal = {ICCK Transactions on Intelligent Unmanned Systems},
  year = {2024},
  volume = {1},
  number = {2},
  pages = {55-62},
  doi = {10.62762/TIUS.2024.257761},
  url = {https://www.icck.org/article/abs/TIUS.2024.257761},
  abstract = {With the rapid development of e-commerce, consumers encounter more and more frequent customer service problems in the shopping process, especially during peak periods, the burden of manual customer service is heavy, and it is difficult to provide timely and effective service. In addition, enterprises are faced with high labor costs and low service efficiency. However, existing customer service systems are still deficient in user experience and intelligence level. In order to solve these problems, I designed a mall system and integrated Google's Dialogflow robot service in it, which realizes intelligent customer service functions through natural language processing technology to help users get real-time and accurate responses during the shopping process. This system can significantly improve the customer experience and reduce the customer service cost of enterprises, and has a wide range of application prospects.},
  keywords = {online customer service, dialogflow, mall system},
  issn = {pending},
  publisher = {Institute of Central Computation and Knowledge}
}
Article Metrics
Citations:

Google Scholar
0

Crossref

0

Scopus

0

Web of Science

0
Article Access Statistics:
Views: 1278
PDF Downloads: 540
Publisher's Note
ICCK stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and Permissions
Institute of Central Computation and Knowledge (ICCK) or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ICCK Transactions on Intelligent Unmanned Systems

ICCK Transactions on Intelligent Unmanned Systems

ISSN: pending (Online)

Email: [email protected]

Portico

Portico

All published articles are preserved here permanently:
https://www.portico.org/publishers/icck/