Transforming Digital Marketing with Generative AI

被引:1
|
作者
Islam, Tasin [1 ]
Miron, Alina [1 ]
Nandy, Monomita [2 ]
Choudrie, Jyoti [3 ]
Liu, Xiaohui [1 ]
Li, Yongmin [1 ]
机构
[1] Brunel Univ London, Dept Comp Sci, London UB8 3PH, England
[2] Brunel Univ London, Brunel Business Sch, London UB8 3PH, England
[3] Univ Hertfordshire, Hertfordshire Business Sch, Hatfield AL10 9AB, England
关键词
generative AI; deep learning; e-commerce; digital marketing; SOCIAL MEDIA; PERSONALIZATION; OPTIMIZATION; TECHNOLOGY; CHALLENGES; STRATEGIES; COLLECTION;
D O I
10.3390/computers13070168
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
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页数:24
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