Artificial intelligence technologies in international management

The study aims to investigate the effectiveness of artificial intelligence (AI) and determine its impact on the management processes of international companies. A methodology was created to optimise international business processes, including introducing AI to improve management efficiency, automate strategic planning, and analyse market data and forecast trends. The study addressed various aspects of AI technologies in international management, covering key areas such as business process automation, document processing, inventory management, logistics, customer communications, analytics and forecasting, and human resources management. Automation of processes has reduced costs and improved the quality of service. Machine learning algorithms in logistics and inventory management have simplified demand forecasting and optimised the supply chain. Communication with customers was automated via robots and chatbots, which improved service. Analytics and forecasting based on data collected and processed by AI allow companies to make informed decisions and plan strategies effectively. The use of AI has significantly increased the efficiency of management processes. These technologies assist companies in adapting to market changes faster and increase their competitiveness in the global business environment. The study determined that the ability of AI systems to analyse large amounts of data, predict market trends, automate routine tasks and reduce decision-making risks enables companies to respond more quickly to market changes, improve the accuracy of strategic planning and ensure a high level of competitiveness in the global business environment. The practical value of this study is to provide businesses with a detailed understanding of how to integrate AI into various aspects of international management