INTEGRATION OF AI TOOLS INTO THE MARKETING STRATEGY OF AN ENTERPRISE

Abstract

The article is devoted to the comprehensive study of theoretical and practical aspects of integrating artificial intelligence tools into the marketing strategy of modern enterprises operating in conditions of digital transformation and intensifying global competition. The research systematically analyzes the key areas of AI technology application in marketing activities, including personalization of consumer communications through microsegmentation and individual behavioral pattern analysis, automation of analytical processes utilizing machine learning algorithms, optimization of advertising campaigns, and prediction of consumer behavior based on predictive analytics. Particular attention is paid to the transformative impact of generative artificial intelligence on marketing content creation processes and interaction with the target audience, examining how AI tools enable automated generation of textual, visual, and multimedia content while maintaining brand authenticity. The role of machine learning and natural language processing in creating competitive advantages for enterprises in digital markets is investigated, with emphasis on chatbots and virtual assistants that provide customer support and facilitate purchase processes. The study examines the challenges and barriers to implementing AI tools in marketing practice, including technical integration complexities, necessity for investments in data infrastructure, shortage of qualified personnel with digital competencies, and ethical aspects related to personal data protection and algorithmic transparency. Special emphasis is placed on high-quality data as the foundation for effective machine learning algorithms and the need for systematic approach that combines technological, organizational, and ethical dimensions. The research reveals that successful enterprises achieve optimal balance between automation and human creativity, utilizing AI tools to augment rather than replace human capabilities. Key success factors are identified including clear digitalization strategy, top management support, investments in developing digital competencies, and organizational culture promoting experimentation and continuous learning. Effective approaches to marketing strategy transformation in the context of economic digitalization are systematically identified, with recommendations formulated for optimal AI integration while ensuring ethical standards compliance and transparent decision-making.