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Transforming Digital Marketing with Generative AI.

Authors :
Islam, Tasin
Miron, Alina
Nandy, Monomita
Choudrie, Jyoti
Liu, Xiaohui
Li, Yongmin
Source :
Computers (2073-431X); Jul2024, Vol. 13 Issue 7, p168, 24p
Publication Year :
2024

Abstract

The current marketing landscape faces challenges in content creation and innovation, relying heavily on manually created content and traditional channels like social media and search engines. While effective, these methods often lack the creativity and uniqueness needed to stand out in a competitive market. To address this, we introduce MARK-GEN, a conceptual framework that utilises generative artificial intelligence (AI) models to transform marketing content creation. MARK-GEN provides a comprehensive, structured approach for businesses to employ generative AI in producing marketing materials, representing a new method in digital marketing strategies. We present two case studies within the fashion industry, demonstrating how MARK-GEN can generate compelling marketing content using generative AI technologies. This proposition paper builds on our previous technical developments in virtual try-on models, including image-based, multi-pose, and image-to-video techniques, and is intended for a broad audience, particularly those in business management. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2073431X
Volume :
13
Issue :
7
Database :
Complementary Index
Journal :
Computers (2073-431X)
Publication Type :
Academic Journal
Accession number :
178700098
Full Text :
https://doi.org/10.3390/computers13070168