AI-Based Prediction of Marketing Services: A Comprehensive Review
Keywords:
AI, Marketing services, Data quality, Marketing strategiesAbstract
In the past few years, Artificial Intelligence (AI) has transformed several sectors, marketing being one of them, by enabling accurate and efficient predictions of consumer behavior and thus making marketing strategies more effective. In this review, a discussion of how AI has been applied in marketing service prediction with a focus on illustrating key areas such as customer segmentation, sales forecasting, targeted advertising, recommendation systems, and dynamic pricing models is presented. The article discusses several AI technologies, including supervised learning, unsupervised learning, reinforcement learning, and natural language processing, and their implications for marketing services. The article further addresses challenges of AI adoption for marketing, including data quality, algorithmic transparency, and privacy. The article concludes with an examination of forthcoming trends and potential future directions of AI adoption in marketing services, offering insight into the transformative potential of these technologies.
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