Impact of Artificial Intelligence on Consumer Buying Behaviour in E-Commerce Platform: A Study on Amazon

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Published: 2026-04-25
Keywords:
Artificial Intelligence, Consumer Behaviour, E-Commerce, Amazon, Personalization, Recommendation Systems, Customer Satisfaction, Digital Marketing

Main Article Content

Dr. Jayaprasad D.

Abstract

This study examines the impact of Artificial Intelligence (AI) on consumer buying behaviour in e-commerce platforms with special reference to Amazon. The rapid integration of AI technologies such as personalized recommendation systems, chatbots, and targeted advertising has significantly transformed the online shopping experience. The research is based on primary data collected through a structured questionnaire from Amazon users. The analysis reveals that AI plays a crucial role in influencing consumer purchase decisions by enhancing convenience, improving product discovery, and increasing customer satisfaction. Personalized recommendations are found to be a key factor driving purchase intention. However, issues related to data privacy and trust continue to affect consumer perception. The study concludes that AI is a powerful tool in shaping modern consumer behaviour and provides valuable insights for improving customer engagement strategies in e-commerce platforms. 

Article Details

Issue

Vol. 15 No. 02 (2026): Business, Economics, Social Science and Humanities

Section

Research Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Author Biography

Dr. Jayaprasad D.

Assistant Professor, Shri G.R. Gandhi Arts, Shri Y. A. Patil Commerce and Shri M. P. Doshi Science Degree College, Indi, Vijayapura

How to Cite

Jayaprasad D. (2026). Impact of Artificial Intelligence on Consumer Buying Behaviour in E-Commerce Platform: A Study on Amazon . ಅಕ್ಷರಸೂರ್ಯ (AKSHARASURYA), 15(02), 63 to 72. https://aksharasurya.com/index.php/latest/article/view/1999

References

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.

Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.

Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.

Kotler, P., Kartajaya, H., & Setiawan, I. (2021). Marketing 5.0: Technology for humanity. Wiley.

Kshetri, N. (2021). E-commerce and artificial intelligence in developing countries. IEEE IT Professional, 23(4), 73–79.

Libai, B., Bart, Y., Gensler, S., Hofacker, C., Kaplan, A., Kötterheinrich, K., & Kroll, E. (2020). Brave new world? On AI and the management of customer relationships. Journal of Interactive Marketing, 51, 44–56.

Pantano, E., & Pizzi, G. (2020). Forecasting artificial intelligence on online consumer behavior. Journal of Retailing and Consumer Services, 55, 102056.

Verhoef, P. C., Kooge, E., & Walk, N. (2016). Creating value with big data analytics. Routledge.

Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97–121.

Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2021). The adoption of artificial intelligence in e-commerce: A study of consumer behaviour. Annals of Operations Research.