Master quantitative, judgmental and causal models used to forecast seasonal, intermittent, and new product future demand. Choose the right forecasting method for all kinds of demand patterns and sales data. Learn how to deal with randomness and low forecastability; missing data, outliers, and overfitting. Separate forecasting myths from reality and mitigate the risk of inaccurate forecasts.
Part of the ISCEA CFDP - Certified Forecaster and Demand Planner - Internationally Recognized Certificate.
What you'll learn
Understand quantitative and judgmental forecasting methods
Identify the appropriate forecasting techniques for different demand patterns
Manage randomness and forecast errors
Deal with issues like missing data and outliers in forecasts
Course objectives
Equip students with practical skills in demand forecasting
Help students differentiate between common forecasting myths and factual practices
Prepare students to mitigate risks associated with inaccurate forecasts