24th MEB Conference - Budapest, 24.04.2026

With the rapid development of Artificial Intelligence (AI) technology, significant technological changes have been introduced into enterprise supply chain management. This study examines the transformative potential of AI-driven demand forecasting techniques in enterprise supply chain management. Using qualitative assessment method, the study compares traditional statistical methods with advanced AI-driven forecasting models and analyses internationally renowned companies that have applied AI for demand forecasting, aiming to reveal how AI can enhance the competitive advantage of enterprises and the impact of AI on supply chain management, and the results of the study are expected to provide valuable insights for the strategic integration of AI technologies. The results are expected to provide valuable insights into the strategic integration of AI technologies, which can provide companies with more reliable forecasts to help optimize inventory management, reduce stock-outs, and avoid overstocking, thus improving the decision-making process and operational efficiency in supply chain management.