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Original Article
Smart E-Commerce System with Dynamic Pricing
Dr. D. Selvanapandiyan1
Mageshwaran P2
Aswin saravanan K3
Suganthi V4
Pavithra MR5
1 Assistant Professor, Department of CSE, Rathinam Technical Campus, Coimbatore, Tamilnadu, India. 2 3 4 5 Final Year Students, Department of CSE, Rathinam Technical Campus Coimbatore, Tamilnadu, India
Published Online: January-February 2026
Pages: 06-08
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20260601002
References
1. Aggarwal, C. C. (2016). Recommender Systems: The Textbook. Springer.
2. Chen, L. (2019). Dynamic pricing in e- commerce: Models, applications, and challenges.
3. Django Software Foundation. (2023).Django Web Framework.
4. Elmaghraby, W., & Keskinocak, P. (2003). Dynamic pricing in inventory- based systems.
5. Fry, M. J., & Raturi, A. S. (2020).Machine learning techniques for demand forecasting.
6. Goodfellow, I., Bengio, Y., & Courville,(2016). Deep Learning. MIT Press.
7. He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T.-S. (2017). Neural Collaborative Filtering. Proceedings of the 26th International
Conference on World Wide Web, 173-182.8. Jurafsky, D., & Martin, J. H. (2021). Speech and Language Processing (3rd ed.).
9. Konstan, J. A., & Harper, F. M. (2015). The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems,
5(4).
10. Serengil, S. I., & Ozpinar, A. (2021). LightFace: A Hybrid Deep Face Recognition Framework. 2020 Innovations in Intelligent Systems and
Applications Conference (ASYU).
11.Talluri, K., & Van Ryzin, G. (2005). The theory and practice of revenue management
2. Chen, L. (2019). Dynamic pricing in e- commerce: Models, applications, and challenges.
3. Django Software Foundation. (2023).Django Web Framework.
4. Elmaghraby, W., & Keskinocak, P. (2003). Dynamic pricing in inventory- based systems.
5. Fry, M. J., & Raturi, A. S. (2020).Machine learning techniques for demand forecasting.
6. Goodfellow, I., Bengio, Y., & Courville,(2016). Deep Learning. MIT Press.
7. He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T.-S. (2017). Neural Collaborative Filtering. Proceedings of the 26th International
Conference on World Wide Web, 173-182.8. Jurafsky, D., & Martin, J. H. (2021). Speech and Language Processing (3rd ed.).
9. Konstan, J. A., & Harper, F. M. (2015). The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems,
5(4).
10. Serengil, S. I., & Ozpinar, A. (2021). LightFace: A Hybrid Deep Face Recognition Framework. 2020 Innovations in Intelligent Systems and
Applications Conference (ASYU).
11.Talluri, K., & Van Ryzin, G. (2005). The theory and practice of revenue management
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