Intelligent Demand & Supply Planning: AI-Based Forecast Tuning and Supply Plan Troubleshooting in Oracle Planning Cloud
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Highlights
Discover the key takeaways and memorable moments from our past events
- Understand the challenges of traditional manual forecast tuning.
- Explore Oracle’s AI-Driven Automated Hyperparameter Tuning capability in Demand Planning.
- Learn how machine learning automatically optimizes forecasting parameters to improve forecast accuracy.
- Discover Oracle Supply Planning’s built-in AI capabilities for identifying planning data quality issues.
- Learn how to detect and resolve issues such as missing Sourcing Rules, Item Exceptions, and other supply planning exceptions.
- See how Oracle’s built-in AI capabilities help planners improve forecast accuracy, enhance supply plan quality, and reduce manual effort.
Event Recap
Forecast tuning is a critical step in Oracle Fusion Planning, helping organizations align demand predictions with actual market behavior. Traditionally, planners have relied on manual trial-and-error methods to improve forecast accuracy by selecting forecasting methods, configuring seasonality settings, testing different lookback periods, and evaluating forecast performance using metrics such as MAPE, RMSE, and bias. While effective, this process is often time-consuming, effort-intensive, and inconsistent across forecasting nodes.
Watch this webinar to explore how Oracle Demand Management Cloud simplifies forecast tuning with its built-in AI-Driven Automated Hyperparameter Tuning capability. Leveraging machine learning, this intelligent feature automatically optimizes forecasting parameters, eliminating the need for manual experimentation while improving forecast accuracy and planner productivity.
Beyond Demand Management, Oracle’s built-in AI capabilities also extend to Oracle Supply Planning Cloud. This session will showcase a commonly overlooked feature that helps planners proactively identify and resolve data quality issues that impact supply plan quality, including missing Sourcing Rules, Item Exceptions, and other planning exceptions before they affect planning outcomes.
