The article is devoted to the study of the implementation of artificial intelligence (AI) technologies in the work of sales departments in enterprises. The paper emphasizes the importance of AI as a tool for optimizing business processes in the context of economic challenges, particularly within the framework of the war in Ukraine, which has led to labor market instability and financial difficulties. Automation of routine tasks, analysis of large data volumes, and increasing personalization of customer interactions are key aspects of AI use in sales departments, which significantly reduces costs and increases productivity. AI is defined as a branch of computer science that develops systems and algorithms capable of performing tasks traditionally considered intellectual for humans. This includes information processing, data-based learning, adaptation to new conditions, and decision-making. The essence of AI lies in creating technologies that can analyze complex data, recognize patterns, understand natural language, and engage in creativity. In the context of the research topic, the article provides AI tools for sales departments in enterprises: sales automation: data analysis and forecasting; personalization of customer interactions; query processing and customer support; lead management; sales forecasting. It is substantiated that these tools help companies optimize processes in sales departments, increase team efficiency, and improve customer interactions. The article presents an author's practical model for optimizing human resources, which includes reducing staff while simultaneously increasing the efficiency of the remaining employees through AI implementation. It is shown that such a model not only optimizes work processes but also enhances the financial stability of the enterprise. The article also explores the stages of AI integration, from business process analysis to practical implementation and result evaluation. The results confirm that the implementation of AI in sales departments is a strategically important step for enhancing the competitiveness of enterprises in the face of modern economic challenges.
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