Demand forecasting

Welcome, everyone. Today, we're examining the essentials of demand forecasting, a cornerstone of business planning and supply chain management. Demand forecasting estimates future customer demand for a product or service. These estimates guide production scheduling, inventory management, workforce planning and budgeting. Accurate forecasts ensure the right products are available, helping avoid costly overstock or lost sales from stockouts. Anticipating demand is critical for operational efficiency and customer satisfaction. There is no single right way to forecast demand, but several guiding principles and tools form the backbone of business practice. Forecasts are never perfectly accurate, uncertainty is inherent. So every forecast should include an estimate of error using metrics like mean absolute percentage error or MAP. Methods range from moving averages to more complex models like exponential smoothing, regression, and machine learning. Combining statistical tools with informed human judgment yields the most robust results. When developing a demand forecast, it's vital to tailor the approach to your business context. Forecasts can be made at various levels, company wide, by region or by product line. Greater aggregation usually means greater accuracy, while detail levels, like individual SKUs face more fluctuations. Human and organizational biases matter. Sales may over forecast and finance under forecast. Addressing biases requires communication,