HOSPITALITY AND RESTAURANT MANAGEMENT: EXPERIENCE AND PROSPECTS OF IMPLEMENTING ARTIFICIAL INTELLIGENCE
Abstract
The article is dedicated to the implementation of artificial intelligence (AI) technologies in the hospitality and restaurant industry as a tool for adapting management to modern operational conditions. It emphasizes that one of the key directions for adapting enterprises to current conditions is the introduction of AI technologies, which help automate processes, improve management efficiency, and enhance customer interaction. The use of AI allows optimizing business processes, personalizing services, reducing costs, and increasing staff productivity. AI technologies play a crucial role in demand forecasting, inventory management, quality control, and the automation of marketing campaigns. The article analyzes the main components of integrating artificial intelligence into hospitality management, including the factors driving AI implementation, areas of AI application, expected outcomes, and future prospects. The experience of implementing and using AI technologies in managing the hospitality industry is reviewed. The article discusses the advantages and challenges that accompany their integration, as well as the potential impact on the effectiveness of management processes. The results show an increase in the level of automation, optimization of operational activities, and improvement in customer service quality. The practical value of the article lies in identifying key aspects of AI application that can be used to enhance management decisions in the hospitality industry. The use of intelligent systems opens up new opportunities for increasing the competitiveness of enterprises, contributing to more effective decision-making processes. The findings provide valuable insights that can guide future research and the practical implementation of AI technologies to optimize management practices and enhance service delivery in the hospitality industry. The article employs general scientific methods of analysis and synthesis for the theoretical generalization of the obtained materials, which allowed formulating an author’s approach to the identified problem. The research results may be useful both for scientists and practitioners working in the hospitality and restaurant industry.
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