GoPrintBot: An Interactive E-Commerce for Online Printing Services
Abstract
GoPrintBot is an innovative endeavor focused on creating an interactive e-commerce chatbot tailored specifically for online printing services. The primary objective is to enhance the customer experience by offering a seamless and efficient ordering process, eliminating the need for customers to navigate complex websites or wait for customer service representatives. This study addresses common issues encountered in traditional e-commerce platforms, including unintuitive navigation, ineffective search and filter systems, and slow response times for customer inquiries. The proposed solution involves developing a chatbot system that will revolutionize the online printing industry, significantly improving the customer experience and operational efficiency. The methodology employed encompasses comprehensive requirements gathering, followed by the design and development of the chatbot system using established System Development Life Cycle (SDLC) methodologies. GoPrintBot serves as a prototype, showcasing the potential of chatbots to streamline the online printing process and provide personalized and efficient services. The findings of this study have significant implications for businesses that prioritize customer satisfaction and aim to optimize their online printing services.
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References
H. M. Kavitha, S. Duncan, P. Ravikumar, and E. Varun, “Online Shopping Customer Behaviour Analysis using centrality measures,” 1st IEEE International Conference on Advances in Information Technology, pp. 223–227, 2019, doi: 10.1109/ICAIT47043.2019.8987252
A. Hutapea, “Chatbot: Architecture, Design, & Development,” University of Pennsylvania School of Engineering and Applied Science Department of Computer and Information Science, 2017.
C. Huang, “The Intelligent Agent NLP-based Customer Service System,” ACM International Conference Proceeding Series, pp.41–50, 2021 doi: 10.1145/3460268.3460275
L. Cui, S. Huang, F. Wei, C. Tan, C. Duan, and M. Zhou, “Superagent: A customer service chatbot for E-commerce websites,” ACL 2017-55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations, pp. 97–102, 2017, doi: 10.18653/v1/P17-4017
S. Angelov, and M. Lazarova, “E-commerce distributed chatbot system,” ACM International Conference Proceeding Series, pp. 1–8, 2019, doi: 10.1145/3351556.3351587
P. Meesad, “Thai Fake News Detection Based on Information Retrieval,” Natural Language Processing and Machine Learning. SN Computer Science, vol. 2, no. 6, pp. 1–17, 2021, doi: 10.1007/s42979-021-00775-6
J. Skrebeca, P. Kalniete, J. Goldbergs, L. Pitkevica, D. Tihomirova, and A. Romanovs, “Modern Development Trends of Chatbots Using Artificial Intelligence (AI),” ITMS 2021 - 2021 62nd International Scientific Conference on Information Technology and Management Science of Riga Technical University, 2021 doi: 10.1109/ITMS52826.2021.9615258
A. Alothman, and A. Alsalman, “Arabic Morphological Analysis Techniques” International Journal of Advanced Computer Science and Applications, vol. 11, no. 2, 2020.
D. H.Maulud, S. R. Zeebaree, K. Jacksi, M. A. M. Sadeeq, and K. H. Sharif, “State of art for semantic analysis of natural language processing,” Qubahan Academic Journal, vol. 1, no. 2, pp. 21-28, 2021
C. S. Sütçü, and C. Aytekin, “An Example of Pragmatic Analysis in Natural Language Processing: Sentimental Analysis of Movie Reviews” CTC, 2019.
H. Christanto and Y. Singgalen, “Analysis and Design of Student Guidance Information System through Software Development Life Cycle (SDLC) and Waterfall Model”, J. Inf. Syst. Informatics, vol. 5, no. 1, pp. 259-270, Mar. 2023.
Y. Singgalen, “Analysis and Design of Regional Tourism Information System ‘SIPARDA’ of Morotai Island Regency”, J. Inf. Syst. Informatics, vol. 4, no. 4, pp. 849-863, Nov. 2022.
E. W. T. Ngai, M. C. M. Lee, M. Luo, P. S. L. Chan, and T. Liang, “An intelligent knowledge-based chatbot for customer service. Electronic Commerce Research and Applications,” vol. 50, no. september, pp. 101098, 2021, doi: 10.1016/j.elerap.2021.101098
T. Grønsund, and M. Aanestad, “Augmenting the algorithm: Emerging human-in-the-loop work configurations,” Journal of Strategic Information Systems, vol. 29, no. 2, pp. 101614, 2020, doi: 10.1016/j.jsis.2020.101614
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