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Original Article
A IoT-Driven Smart Commerce: Redefining Consumer Experience and Operational Efficiency in E-Commerce Platforms
Kali Rama Krishna Vucha1
Karthik Kamarapu2
1Independent Software Researcher, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India. 2Independent Software Researcher, Osmania University, Hyderabad, Telangana, India.
Published Online: January-April 2025
Pages: 62-66
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250401010
References
[1] Bai, Y., & Li, H. (2022). Mapping the evolution of e-commerce research through co-word analysis: 2001–2020. ScienceDirect.
[2] Goyal, S., Sergi, B.S., & Esposito, M. (2019). Literature review of emerging trends and future directions of e-commerce in global
business landscape. Inderscience Publishers[3] Raj, A., Dwivedi, Y.K., Sharma, A., & Hughes, L. (2021). Artificial Intelligence in customer engagement: A systematic review and
research agenda. Journal of Business Research.
[4] Ghosh, A. (2020). Internet of Things and the future of e-commerce logistics. Journal of Retail Technology, 6(3), 45–52.
[5] Kim, J., Trimi, S., & Chung, J.H. (2014). Big-data applications in the government sector. Communications of the ACM, 57(3), 78–85.
[6] Zhang, Y., & Wen, J. (2020). The impact of AI on user experience in e-commerce. Electronic Commerce Research and Applications, 39,
100888.
[7] Liu, Q., & Yu, W. (2018). IoT-based smart logistics for supply chain digital transformation. Computers & Industrial Engineering, 125,
252–260.
[8] Kumar, V., Dixit, A., Javalgi, R.G., & Dass, M. (2016). Digital transformation of business models in e-commerce. Journal of Retailing,
92(2), 177–186.
[9] Chen, J., Zhang, C., & Xu, Y. (2009). Predicting consumer click behavior using machine learning. Decision Support Systems, 48(3),
469–479.
[10] Zhang, M., Zhao, X., & Voss, C. (2016). Customer engagement and AI: Service innovation strategies. Journal of Service Management,
27(5), 640–658.
[2] Goyal, S., Sergi, B.S., & Esposito, M. (2019). Literature review of emerging trends and future directions of e-commerce in global
business landscape. Inderscience Publishers[3] Raj, A., Dwivedi, Y.K., Sharma, A., & Hughes, L. (2021). Artificial Intelligence in customer engagement: A systematic review and
research agenda. Journal of Business Research.
[4] Ghosh, A. (2020). Internet of Things and the future of e-commerce logistics. Journal of Retail Technology, 6(3), 45–52.
[5] Kim, J., Trimi, S., & Chung, J.H. (2014). Big-data applications in the government sector. Communications of the ACM, 57(3), 78–85.
[6] Zhang, Y., & Wen, J. (2020). The impact of AI on user experience in e-commerce. Electronic Commerce Research and Applications, 39,
100888.
[7] Liu, Q., & Yu, W. (2018). IoT-based smart logistics for supply chain digital transformation. Computers & Industrial Engineering, 125,
252–260.
[8] Kumar, V., Dixit, A., Javalgi, R.G., & Dass, M. (2016). Digital transformation of business models in e-commerce. Journal of Retailing,
92(2), 177–186.
[9] Chen, J., Zhang, C., & Xu, Y. (2009). Predicting consumer click behavior using machine learning. Decision Support Systems, 48(3),
469–479.
[10] Zhang, M., Zhao, X., & Voss, C. (2016). Customer engagement and AI: Service innovation strategies. Journal of Service Management,
27(5), 640–658.
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