AI-driven predictive analytics for demand forecasting and inventory optimization in Oracle Supply Chain Cloud

Abstract

Artificial intelligence (AI) and predictive analytics are converging, which is changing the process of supply chain management and allowing organizations to forecast market dynamics, enhance decision-making, and maximize operational efficiency. The Oracle Supply Chain Cloud uses AI to predict the future, boost demand forecasting, and manage inventory management in global businesses at a lower cost and without compromising performance. In this article, the author will give a detailed overview of AI-based projections and optimization in the cloud ecosystem of Oracle. It discusses the importance of data-driven models, integration issues, and adaptive algorithms in the development of resilient supply chains. The study shows that AI-based predictive analytics can help organizations switch to future-ready strategies that are driven by ex-post to the ex-ante ones.