This document discusses demand forecasting techniques. It defines demand as the quantity of a commodity that consumers are willing and able to buy at different prices over time. Demand forecasting refers to using historical data and other information to estimate future customer demand. There are different levels of forecasting including micro, meso, and macro levels focusing on specific products, product groups, or overall market demand respectively. Qualitative and quantitative techniques are classified, with qualitative relying on expert opinions and surveys in the absence of data, and quantitative analyzing past numerical sales data to identify patterns. Specific qualitative methods outlined include buyer surveys, expert panels, Delphi method, and market experiments. Quantitative methods discussed trend projection analyzing long-term historical demand trends.