UTILIZING ARTIFICIAL INTELLIGENCE TO PREDICT CONSUMER ACTIONS AND MARKET TRENDS IN E-COMMERCE
Keywords:
Artificial Intelligence, Consumer Behavior, E-commerce Trends, Predictive Analytics, Machine LearningAbstract
This paper explores how artificial intelligence (AI) is transforming e-commerce by forecasting consumer behavior and detecting market trends. Through machine learning, sentiment analysis, and predictive analytics, AI enables businesses to personalize services, optimize inventory, and enhance decision-making. The integration of AI tools allows for real-time responses to shifting customer preferences, resulting in improved customer satisfaction and increased competitiveness. Ethical considerations, such as data privacy and algorithmic bias, are also discussed.
References
1. Chen, Y., & Zhang, Y. (2021). Artificial intelligence in e-commerce: Enhancing consumer experience through personalization and prediction. Journal of Retailing and Consumer Services, 61, 102528. https://doi.org/10.1016/j.jretconser.2021.102528
2. Huang, M. H., & Rust, R. T. (2021). Artificial intelligence in service. Journal of Service Research, 24(1), 3–20. https://doi.org/10.1177/1094670520902266
3. Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46–55. https://doi.org/10.18267/j.cebr.213
4. Kumar, V., & Reinartz, W. (2018). Customer relationship management: Concept, strategy, and tools (3rd ed.). Springer.
5. Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2021). The role of artificial intelligence in e-commerce: A bibliometric analysis and future research agenda. Electronic Commerce Research and Applications, 50, 101103. https://doi.org/10.1016/j.elerap.2021.101103



