THE ROLE OF ARTIFICIAL INTELLIGENCE IN PREDICTING CONSUMER BEHAVIOUR IN ONLINE RETAIL

Authors

  • Muslimakhon Shokirova, Shakhboz Sobirov ISMA University Fergana Branch, Al-Fergani street 48

Abstract

Artificial Intelligence (AI) has emerged as a game-changer in predicting consumer behavior, particularly in the context of online retail. This paper examines how AI algorithms are used to analyze consumer data and predict buying patterns, improving decision-making for online retailers. By utilizing machine learning models and deep learning techniques, businesses can tailor their marketing strategies, optimize inventory management, and increase sales. The research includes an evaluation of AI applications in predicting purchasing decisions, customer preferences, and potential market trends. The paper also discusses ethical concerns related to data privacy and the risks of over-reliance on AI models.

 

References

Anderson, P., & Liu, Z. (2023). Artificial Intelligence and Consumer Behavior in Retail: A Predictive Approach. Journal of Retail Technology.

Kumar, V., & Singh, S. (2021). Machine Learning for Predicting Consumer Behavior: Insights from E-commerce Platforms. Journal of Business Intelligence.

Brown, R. (2022). Personalized Marketing and AI in Retail. International Journal of Marketing Innovation

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Published

2025-09-24

How to Cite

Muslimakhon Shokirova, Shakhboz Sobirov. (2025). THE ROLE OF ARTIFICIAL INTELLIGENCE IN PREDICTING CONSUMER BEHAVIOUR IN ONLINE RETAIL. ZAMONAVIY TA’LIMDA FAN VA INNOVATSION TADQIQOTLAR, 3(9), 46–48. Retrieved from http://zamtadqiqot.uz/index.php/zt/article/view/1475