Q1Managerial Economics & Financial Accounting
Question
What is demand forecasting? Discuss the qualitative and quantitative methods of demand forecasting.
Answer
Demand forecasting predicts future sales. Methods include qualitative approaches like expert opinions and quantitative approaches like time series and regression analysis.
Demand Forecasting is the scientific and analytical process of estimating the future demand for a company's products or services under expected market conditions. It is essential for capacity planning, budgeting, inventory management, and pricing strategies.
Used when historical data is unavailable (e.g., new product launches). They rely on human judgment and intuition. 1. Expert Opinion / Delphi Method: A panel of industry experts is anonymously queried through multiple rounds of questionnaires until a consensus forecast is reached. Eliminates groupthink bias. 2. Sales Force Composite: The company asks its grassroots salespeople to estimate future sales in their specific territories, which are then aggregated by management. 3. Consumer Survey: Directly surveying a sample of potential customers about their future purchasing intentions.
Rely heavily on historical numerical data and mathematical models. 1. Time Series Analysis: Assumes past patterns will continue into the future. Includes: - Trend Projection: Fitting a trend line (using least squares) to historical sales data and extending it into the future. - Moving Averages: Smoothing out short-term fluctuations by averaging data over specific periods (e.g., 3-month moving average). 2. Econometric Models (Regression Analysis): Highly complex mathematical models that establish a causal relationship between demand (dependent variable) and various determinants like price, income, and advertising budget (independent variables). Example: .