Demand forecasting for executives and professionals

Part 1. Introduction 1. Introduction 2. The forecasting workflow 3. Choice under uncertainty 4. A simple example Part 2. Forecasting basics 5. Know your time series 6. Time series components 7. Time series decomposition Part 3. Forecasting models 8. Low hanging fruit: simple forecasts 9. Exponential Smoothing 10. ARIMA models 11. Causal models and predictors 12. Count data and intermittent demand 13. Forecasting hierarchies 14. Artificial Intelligence and Machine Learning 15. Long, multiple and non-periodic seasonal cycles 16. Human judgment Part 4. Forecasting quality 17. Error measures 18. Forecasting competitions Part 5. Forecasting organisation 19. Leading forecasters and forecasting teams 20. Sales and operations planning 21. Why does forecasting fail? Part 6. Learning More 22. Learning more