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VOL. 11, ISSUE 1 (2026)
Artificial intelligence in direct-to-consumer marketing: Strategies, applications, and competitive advantage in the AI-driven era
Authors
Dr. R Vanadhi, P Gayathri, Dr. S Parthiban
Abstract
The rapid
proliferation of Artificial Intelligence (AI) technologies is fundamentally
reshaping the Direct-to-Consumer (D2C) marketing landscape. This paper presents
a comprehensive analytical examination of how AI tools—including machine
learning, natural language processing, computer vision, and predictive
analytics—are being deployed by D2C brands to acquire, engage, and retain
customers. Drawing on industry trends, real-world applications, and emerging
research, the paper evaluates the strategic value, operational challenges,
ethical considerations, and future trajectory of AI adoption in D2C marketing.
It argues that AI is no longer a supplementary capability but a core
competitive differentiator for D2C brands seeking sustainable growth in an
increasingly data-driven marketplace.
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Pages:110-115
How to cite this article:
Dr. R Vanadhi, P Gayathri, Dr. S Parthiban "Artificial intelligence in direct-to-consumer marketing: Strategies, applications, and competitive advantage in the AI-driven era". International Journal of Academic Research and Development, Vol 11, Issue 1, 2026, Pages 110-115
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