Current Trends in Information Technology Original Research
A Study of the Impact of AI-Powered Recommendation Systems on Consumer Purchase Decisions in the E-Commerce Industry
Abstract
Through personalized suggestions, the e-commerce industry has been affected so much that it has been overtaken by AI-powered recommendation systems. This paper examines the effects of AI-powered recommendations on online shoppers and how they influence product discovery, the engagement level of shoppers, and unplanned purchases. Emerging from the results of a survey of 55 graduates and MBA students, more than 70% of respondents claim that AI has helped them find new products, and over 60% confess to making unplanned purchases because of AI recommendations. On top of that, 56.5% of them enjoy the shopping experience improved by AI, and 75% prefer brands and platforms integrating AI-driven personalization. But as recently as 30% were neutral to their reliability, according to 30% of respondents. The results reveal that both AI-driven recommendation systems greatly influence online shopping behaviors, especially through personalization, transparency, and privacy measures, all of which must be improved to the utmost.
Keywords
References (12)
- Mukhtar S, A. CM, Chandra D. EXPLORING THE INFLUENCE OF DIGITAL MARKETING ON CONSUMER BEHAVIOR AND LOYALTY. International Journal of Research -GRANTHAALAYAH. 2023;11(9). doi:10.29121/granthaalayah.v11.i9.2023.5308
- Jose J. Impact of Technology on Consumer Behaviour. IRA-International Journal of Management & Social Sciences (ISSN 2455-2267). 2017;6(2):264. doi:10.21013/jmss.v6.n2.p10
- Widjaja AF. AI-powered recommendation systems and their role in enhancing e-commerce customer retention. AIRA (Artif Intell Res Appl Learn). 2023;2(1):17–27. doi:10.1234/aira.v2i1.40.
- de Souza Arruda M. Algorithmic management and work on digital labor platforms: Effects of recommendation algorithms. In: World Conference on Information Systems for Business Management. Singapore: Springer Nature Singapore; 2023. p. 443–457.
- The Influence of AI-Driven Personalization on Consumer Decision-Making in E-Commerce Platforms. Al Rafidain Journal of Engineering Sciences. 2024;2(2):249-261. doi:10.61268/ajs54s12
- Chelliah M, Sarkar S. Product Recommendations Enhanced with Reviews. Proceedings of the Eleventh ACM Conference on Recommender Systems. 2017:398-399. doi:10.1145/3109859.3109936
- Necula SC, Păvăloaia VD. AI-Driven Recommendations: A Systematic Review of the State of the Art in E-Commerce. Applied Sciences. 2023;13(9):5531. doi:10.3390/app13095531
- Huang J. Application of AI-driven personalized recommendation technology in e-commerce. Int J Neural Netw. 2025;4(1):40–47. doi:10.38007/NN.2025.040105.
- Nagavalli SP, Srivastava A. AI-driven product recommendations in e-commerce: Enhancing user engagement and sales. Int J AI Big Data Comput Manag Stud. 2024;5(2):38–47.
- Kulkarni DD. AI-powered innovations in e-commerce and their effect on business performance. Ind Eng J. 2024 Nov;53(11):128–136.
- Das A, IBS, The ICFAI University Dehradun, Uttarakhand, India, IBS, The ICFAI University Dehradun, Uttarakhand, India, AVP One AI Genpact LLC, USA, Malaviya S, Singh M. The Impact of AI-Driven Personalization on Learners Performance. International Journal of Computer Sciences and Engineering. 2023;11(8):15-22. doi:10.26438/ijcse/v11i8.1522
- Samuelson P. U.S. Copyright Office's Questions about Generative AI. Communications of the ACM. 2024;67(3):25-28. doi:10.1145/3637627