EFFECTIVENESS OF USING AI-BASED ANALYTICAL SYSTEMS IN INTERNATIONAL TRADE

Résumé

This scientific article examines the effectiveness of AI-based analytical systems in international trade through a comprehensive theoretical and practical framework. In the context of the digital economy, increasing complexity of trade operations, expansion of global supply chains, and high-volume real-time data flows require advanced analytical decision-making tools. The study explores the role of AI-driven analytics in forecasting accuracy, risk assessment, logistics optimization, market intelligence, and trade strategy development. The methodology relies on systematic analysis, comparative evaluation, empirical generalization, and scholarly literature review. The findings indicate that AI-based analytical systems significantly improve trade efficiency, reduce operational costs, and enhance strategic resilience in international markets.