Demand Forecasting: Methods & Cognitive Biases

This lecture covers demand forecasting methods such as qualitative and quantitative approaches, including causal models, time series analysis, and cognitive biases that can affect decision-making. It explores steps like goal determination, data analysis, and forecasting techniques. The instructor discusses the importance of considering various factors in forecasting and the potential pitfalls of cognitive biases in decision-making processes.