AI-Enabled Supply Chain Planning: How Modern Enterprises Improve Forecasting, Resilience, and Execution
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Posted by Quest Customer Learning Team
- Last updated 5/29/26
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This session was presented at BLUEPRINT 4D 2026.
This presentation will explore how Oracle Cloud’s AI-enabled Supply Chain Planning capabilities help modern enterprises improve forecasting accuracy, strengthen resilience, and streamline end-to-end execution. We will cover practical applications of Oracle’s AI features—including demand sensing, predictive forecasting, intelligent safety stock, supplier risk insights, and autonomous exception management to show how organizations can reduce planning noise and make faster, data-driven decisions. Real-world implementation examples will demonstrate how AI-powered recommendations and integrated workflows transform traditional planning into a continuous, intelligence-driven process. This session is designed for supply chain planners, procurement leaders, operations managers, IT architects, and anyone responsible for planning and execution processes. Attendees will learn how to leverage Oracle Cloud’s AI capabilities to modernize their planning cycle, improve service levels, and build more resilient supply networks. They will leave with a clear understanding of best practices, required organizational changes, and a practical roadmap for adopting an AI-driven planning model without disrupting ongoing business operations.
This session is eligible for the following CPE Credit: NASBA
Speaker: Srinivasan Narayanan, Milwaukee Tool
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