Introduction
Demand prediction has evolved with machine learning and big data capabilities. This course gives participants deep expertise in advanced forecasting techniques, including causal models and AI-based forecasting. Participants will learn how to detect patterns, forecast with high accuracy, and manage volatile demand environments. The training emphasizes hands-on modeling and interpretation.
Course Objectives
- Apply advanced forecasting models
- Use machine learning techniques
- Handle complex demand patterns
- Improve forecast accuracy
- Build end-to-end forecasting systems
Target Audience
- Senior demand planners
- Forecasting specialists
- Data analysts
- S&OP leaders
- Advanced planners
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
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- Day 1: Advanced Forecasting Concepts• Time-series decomposition
• Outlier and anomaly detection
• Non-linear models
• Segmented forecasting
• Forecast value-add0 - Day 2: Causal & Regression Models• Multiple regression
• Leading indicator identification
• Price/promotion impacts
• Marketing causal models
• External factor modeling0 - Day 3: Machine Learning Forecasting• Gradient boosting
• Random forests
• Neural networks
• Feature engineering
• Model evaluation0 - Day 4: Forecast Accuracy Improvement• Bias elimination
• Forecast error diagnostics
• Advanced tracking signals
• Forecast override rules
• Improvement roadmaps0 - Day 5: End-to-End Forecasting Project• Build dataset
• Train predictive model
• Validate outputs
• Improve model iteratively
• Present findings0
Instructor
Lessons:
