Research on the Impact of ChatGPT on The Economic Development of E-commerce Industry
DOI:
https://doi.org/10.54097/fbem.v11i1.11820Keywords:
ChatGPT, Artificial Intelligence, E-commerce, Economic impact, Intelligent Application.Abstract
This article summarizes the impact of the new artificial intelligence technology ChatGPT on the economic development of the e-commerce industry and provides an analysis of two main aspects. Firstly, this paper studies the application mechanism of ChatGPT in the e-commerce industry. By investigating the specific application of ChatGPT on the e-commerce platform, including fine recommendation, intelligent customer service and consumer insight, the potential of ChatGPT in improving the operational efficiency of e-commerce enterprises is revealed. The research results show that ChatGPT can provide personalized services and suggestions, help improve the quality and efficiency of customer service, and reduce the workload of manual customer service. Secondly, we predict the impact of ChatGPT on the future development of the e-commerce industry by mining the characteristics of Amazon's financial data. The results show that ChatGPT is expected to meet these challenges and have a positive impact on the e-commerce market. For example, the introduction of ChatGPT technology may change the competitive landscape of the e-commerce market and increase market concentration ; at the same time, ChatGPT's personalized recommendations and suggestions can improve consumers' shopping satisfaction and purchase rate, and promote the development of the e-commerce industry. In summary, this paper reveals the potential positive impact of ChatGPT on the economic development of the e-commerce industry by analyzing the application mechanism of ChatGPT in the e-commerce industry and predicting its impact on the future development of the e-commerce industry. These research results have important reference value for decision makers and practitioners in the e-commerce industry, and can help them better understand and respond to the challenges and opportunities of new artificial intelligence technologies for the industry.
Downloads
References
Zhu Y. and Wei M., "The Credit Problems of Cross-Border e-Commerce Enterprises--Based on the Investigation of Zhengzhou Cross-border E-commerce Comprehensive Pilot Zone," 2019 2nd International Workshop on Advances in Social Sciences (IWASS 2019), UKDOI: 10.25236/iwass.2019.043307, 2019.
McMillan-Major A., Osei S. and Rodriguez J. D. et al., "Reusable templates and guides for documenting datasets and models for natural language processing and generation: A case study of the HuggingFace and GEM data and model cards," arXiv.cs.DB, 2021.
Bahrini A., Khamoshifar M. and Abbasimehr H. et al., "ChatGPT: Applications, opportunities, and threats," 2023 Systems and Information Engineering Design Symposium (SIEDS), p. 274-279, 2023.
Zhang D., Pee L. G. and Cui L., "Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse," International Journal of Information Management, Vol. 57, p. 102304, 2021.
Zhang C., Zhang C. and Zheng S. et al., "A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?" arXiv.cs.DB, No. 2303, p. 11717, 2023.
Adewumi T. P., Liwicki F. and Liwicki M., "Conversational systems in machine learning from the point of view of the philosophy of science—using alime chat and related studies," Philosophies, Vol. 4, No. 3, p. 41, 2019.
Li F., Qiu M. and Chen H. et al., "Alime assist: An intelligent assistant for creating an innovative e-commerce experience,", p. 2495-2498, 2017.
Chen L., Zhu F. and Mantrala M. et al., "Seller creative selling in social commerce," International Journal of Advertising, Vol. 40, No. 2, p. 272-291, 2021.
Watanabe C., Akhtar W. and Tou Y. et al., "A new perspective of innovation toward a non-contact society-Amazon's initiative in pioneering growing seamless switching," Technology in Society, Vol. 69, No., p. 101953, 2022.
George A. S. and George A. H., "A review of ChatGPT AI's impact on several business sectors," Partners Universal International Innovation Journal, Vol. 1, No. 1, p. 9-23, 2023.
Zhao L., Yang S. and Wang S. et al., "Research on PPP Enterprise Credit Dynamic Prediction Model," Applied Sciences, Vol. 12, No. 20, p. 10362, 2022.