Generative AI for retail marketing: Automated campaign creation and optimization
Independent Researcher, USA.
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 13(01), 1058-1068.
Article DOI: 10.30574/wjaets.2024.13.1.0487
Publication history:
Received on 23 August 2024; revised on 25 September 2024; accepted on 29 September 2024
Abstract:
Businesses use Generative Artificial Intelligence (AI) to support their marketing practices more often now. This paper proposes a new kind of Generative AI solution that would help with content generation, both copy and visuals, and the determination of customers’ segments. Based on the analysis of the past campaigns and the market, the data sets for the AI model create marketing content more appealing and effective for interaction and advertising revenues. A survey carried out in a retail grocery chain revealed an enhanced thirty percent in the relative effectiveness of the given promotion campaign and a significant decrease of overall marketing expenditures. The results presented have confirmed the ability of Generative AI to shift the Retail Marketing paradigm towards relying on data to make marketing decisions with little to no human influence. Empirically, this study expands the knowledge of AI applications in the retail context and provides applied recommendations for marketing managers wanting to implement sophisticated technological tools.
Keywords:
Generative AI; Retail Marketing; Campaign Optimization; Automated Campaign; Customer Segmentation; Marketing Efficiency
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0