Global and Domestic Experience in Using Neural Networks in the Hospitality Industry

This article analyzes global and domestic experience in applying neural network technologies in the hospitality industry. The study aims to identify key areas for integrating artificial intelligence and neural networks into hotel operations, to assess their benefits and implementation barriers, and to determine the prospects for adopting such solutions in the context of conducting business in Russia. The research employs methods of systemic analysis, comparative study, and synthesis of practical experience. Findings indicate that the most widely adopted solutions internationally include chatbots, voice assistants, and neural network-based forecasting systems. In Russia, the adoption of these technologies is still at an early stage, yet successful case studies already exist. The results offer practical value for hoteliers and management companies seeking to enhance competitiveness through digital transformation.