This research examines the role of artificial intelligence in improving promotional techniques using data prediction, with particular emphasis on how predictive techniques, including machine learning and NLP, influence consumers' actions. The purpose is to shed light on how AI can help solve some marketing difficulties, including data quality, security, and integration. The paper focused on analysing more than 60 publications, articles, cases, and industry reports concerning the deployment of AI in the marketing milieu. This qualitative approach enabled the study to classify and assess the importance of AI for understanding consumers' behaviors and marketing actions. The analysis revealed that, through the use of AI, marketing strategies are improved since customers' behaviours can be easily predicted and suitable recommendations can be provided. The application of AI in business, such as machine learning and NLP, enhances data analysis and trends, ultimately leading to improved marketing strategies. However, while using enterprise systems, they face problems like the quality of data they deal with, issues in integration, and concerns regarding shortages of talented people. Based on the analysis of the results, organizations should focus on enhancing data quality, besides building up AI-capable human capital. Similarly, businesses must integrate AI with existing marketing tools and implement more robust data protection measures. Consultation with AI experts, in conjunction with the involvement of consulting agencies, can enhance adoption and enable businesses to adapt to evolving customer needs and differentiate themselves.
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