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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50561
Volume:
9 |
6 |
Jun 2025
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.
The integration of artificial intelligence (AI) into modern business strategies is reshaping how brands interact with and understand their customers. This study explores the influence of AI-enabled specializationâwhere businesses utilize tools like machine learning, predictive analytics, and personalized algorithmsâto customize offerings, services, and marketing approaches tailored to individual consumer profiles. As With the help of AI tools, companies can large-scale personalization, they are raising consumer expectations for seamless, context-aware, and intuitive experiences. While this shift opens up new avenues for enhancing customer satisfaction and fostering deeper brand relationships, it also introduces challenges. Increased personalization can lower switching costs and intensify competition, making it easier for consumers to shift brand preferences based on algorithmic comparisons. Artificial intelligence (AI) is transforming digital marketing by enabling firms to analyze vast amounts of consumer data and offer highly personalized experiences. As competition grows,companies increasingly adopt AI-driven strategies to boost engagement and foster brand loyalty. In this report there is a quantitative survey of 60 consumers and applied structural equation modeling (SEM) to examine how AI integration, personalization, consumer engagement, and brand loyalty are interrelated. The findings show that AI-drivenpersonalization significantly enhances customer experiences, intensifies consumer  engagement, and encourages long-term brand loyalty. For example, personalized AI messages (H1, β=0.789) strongly increased perceived personalization, which in turn drove engagement (H2, β=0.777) and loyalty (H5, β=0.613), while engagement also boosted loyalty (H3, β=0.517). All hypothesized paths were supported. The study concludes that strategic use of ethical, transparent AI personalization in digital marketing can improve customer experience and competitive advantage. These insights have practical implications: marketers should invest in explainable AI and tailor marketing content to individual preferences to build stronger, trust-based relationships with consumers.
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Publication Date
6/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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