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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM58055
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Artificial intelligence (AI) and the rapid rise of e-commerce have genuinely reshaped how businesses connect with customers, especially through AI-driven customization. It didn’t happen slowly. It just shifted. The way brands speak, suggest, even anticipate feels different now. Almost intuitive at times. To make the experience better and keep people coming back, e-commerce platforms are leaning heavily on screens that adjust to you, offers picked just for you, and suggestions that feel personal. You can see it everywhere, really. Small changes on your feed. Deals that feel almost too specific. Layouts shifting without most of us even realizing it. Still, it’s not clear if this whole idea will actually create real loyalty among Generation Z, especially now that people are more worried about data privacy and transparency. Gen Z appreciates relevance, yes, but they also start wondering what’s really going on behind the scenes. They notice things. And that quiet doubt about how data is handled it lingers. This study tries to understand how AI-driven customization shapes Generation Z consumers’ loyalty toward brands in India’s growing online shopping market. It also looks at how privacy concerns change this connection, along with the role played by customer satisfaction and trust in between. The research is built around the Stimulus–Organism–Response (S-O-R) framework, where brand loyalty is treated as the final outcome, trust and satisfaction represent the internal feelings and reactions of consumers, and AI-driven personalization acts as the external trigger influencing them. While working on this study, with a quantitative and descriptive method. It wasn’t some big strategic decision honestly, it just felt okay for the type of problem I was trying to understand. I wasn’t aiming to test anything too technical or complicated. As the aim was to look at patterns and see how things were connecting if they were connecting at all. Around 61 Generation Z con
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Publication Date
3/22/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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