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Intro: Transforming Inventory Forecasting with Machine Learning
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Classroom Contents
Transforming Inventory Forecasting with Production ML
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- 1 Intro: Transforming Inventory Forecasting with Machine Learning
- 2 Why Inventory Forecasting Matters and What We’ll Cover
- 3 Why Forecasting Fails: Volatility, Manual Planning & Common Barriers
- 4 Target Reference Architecture: Data → Models → Automated Decisions
- 5 Data Ingestion & Governance on Azure Pipelines, Lake, Quality
- 6 Feature Engineering: Building Predictive Signals Seasonality, Promo, Weather
- 7 Model Validation: Backtesting, Accuracy Metrics, Bias & Fairness
- 8 Deployment & MLOps: CI/CD, Model Registry, Monitoring
- 9 From Prediction to Ordering: How the Model Drives Replenishment
- 10 Business Impact + Real Scenarios Healthcare & Logistics
- 11 Wrap-Up: Key Takeaways and Closing
