The Role of Artificial Intelligence in Transforming the Online Shopping Experience

Authors

  • Shaikh Shifa Bano Azmat Ullah, Qureshi Insha Shahid

Keywords:

Artificial Intelligence, E-Commerce, Personalization, Recommendation Systems, Conversational Commerce, Ethical AI

Abstract

Artificial Intelligence (AI) is revolutionizing the online shopping environment by reshaping the ways in which consumers find, assess, and buy products. This paper explores the diverse impact of AI on e-commerce platforms, emphasizing aspects such as personalization, recommendations, visual search, conversational commerce (including chatbots and voice assistants), dynamic pricing, fraud detection, supply chain optimization, and sentiment analysis. The study integrates theoretical viewpoints and empirical evidence from recent research to demonstrate how AI-driven functionalities boost conversion rates, improve customer satisfaction, and introduce new ethical and operational challenges.

Adopting a mixed-methods research approach that merges a quantitative survey of online shoppers with qualitative interviews of e-commerce managers and AI experts, the paper examines customer perceptions, behavioral results, and managerial tactics. The findings indicate that personalized recommendation systems and conversational agents provide the most immediate perceived benefits to consumers, whereas dynamic pricing and hidden personalization raise significant issues regarding fairness and transparency.

The paper concludes with a discussion on the implications for researchers, practitioners, and policymakers: companies should implement explainable AI methods, focus on privacy-preserving personalization, and evaluate long-term customer trust in addition to short-term revenue increases. Lastly, the paper identifies limitations and suggests avenues for future research, such as longitudinal studies, cross-cultural analyses, and the environmental impact of AI in e-commerce.

References

Adomavicius, G., & Tuzhilin, A. (2005). Personalization technologies: A process-oriented perspective. Communications of the ACM, 48(10), 83–90. https://doi.org/10.1145/1089107.1089109

Aggarwal, A., Dhiman, R., & Yadav, S. (2021). Impact of AI-powered chatbots on customer experience in e-commerce. International Journal of E-Business Research, 17(3), 1–16. https://doi.org/10.4018/IJEBR.2021070101

Bock, D., Wolter, J. S., & Ferrell, O. C. (2020). Artificial intelligence and the customer experience. Journal of Business Research, 116, 366–376. https://doi.org/10.1016/j.jbusres.2019.10.042

Brynjolfsson, E., Hu, Y., & Rahman, M. S. (2013). Competing in the age of omnichannel retailing. MIT Sloan Management Review, 54(4), 23–29.

Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2021). The influence of AI-driven recommendation systems on customer decisions: A meta-analysis. Information Systems Frontiers, 23(5), 1341–1361. https://doi.org/10.1007/s10796-020-10066-3

Chen, Y., Wang, Q., Xie, K. L., & Li, X. (2021). The role of AI-based visual search in online shopping. Electronic Commerce Research and Applications, 46, 101048. https://doi.org/10.1016/j.elerap.2021.101048

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0

Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017). The future of retailing. Journal of Retailing, 93(1), 1–6. https://doi.org/10.1016/j.jretai.2016.12.008

Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: A review. Academy of Management Annals, 14(2), 627–660. https://doi.org/10.5465/annals.2018.0057

Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30–50. https://doi.org/10.1007/s11747-020-00749-9

Shaikh, S. A., & Jagirdar, A. H. (2026). Beyond AI dependence: Pedagogical approaches to strengthen student reasoning and analytical skills. In S. Khan & P. Pringuet (Eds.), Empowering learners with AI: Strategies, ethics, and frameworks (Chapter 8, pp. 1–16). IGI Global. https://doi.org/10.4018/979-8-3373-7386-7.ch008

Shaikh, S. A. (2024). Empowering Gen Z and Gen Alpha: A comprehensive approach to cultivating future leaders. In Futuristic Trends in Management (IIP Series, Vol. 3, Book 9, Part 2, Chapter 2). IIP Series. https://doi.org/10.58532/V3BHMA9P2CH2

Chougle, Z. S., & Shaikh, S. (2022). To understand the impact of Ayurvedic health-care business & its importance during COVID-19 with special reference to “Patanjali Products”. In Proceedings of the National Conference on Sustainability of Business during COVID-19, IJCRT, 10(1),

Bhagat, P. H., & Shaikh, S. A. (2025). Managing health care in the digital world: A comparative analysis on customers using health care services in Mumbai suburbs and Pune city. IJCRT. Registration ID: IJCRT_216557.

Parikh, V. C. (2022) Strategic talent management in education sector around organizational life cycle stages! JOURNAL OF THE ASIATIC SOCIETY OF MUMBAI, SSN: 0972-0766, Vol. XCV, No.11.

Parikh, V. (2023). Whistleblowing in B-Schools, Education and Society, Vol-47, Issue – 1, Pg. 183-189

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How to Cite

Shaikh Shifa Bano Azmat Ullah, Qureshi Insha Shahid. (2025). The Role of Artificial Intelligence in Transforming the Online Shopping Experience. International Journal of Research & Technology, 13(S4), 360–366. Retrieved from https://ijrt.org/j/article/view/744

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