Demand Management & Forecasting (Advanced Level )

Explore how demand management coordinates diverse demand sources with supply capacity across the end-to-end supply chain, using forecasting and S&OP/CPFR for bias-free planning.

Master intermediate Excel techniques for forecasting preparation, including solver add-in installation, cell locking, named ranges, sumproduct, and data cleaning with filters, duplicates, tables, and slicers.

Learn how advanced demand management blends quantitative data and qualitative judgment to address forecasting bias, leverage point-of-sale and syndicated data, and align supply through SNP and policy.

Learn demand management and forecasting using simple moving average, weighted moving average, and exponential smoothing, with deseasonalized data and seasonal indices to produce monthly forecasts.

Learn how demand management and forecasting rely on consensus across supply, capacity, and business plans through SNP/S&OP, with a focus on product families and capacity alignment.

Build and optimize a multifactor demand forecast using multiple linear regression with solver, coefficients, and constants, then apply winter triple smoothing with alpha, beta, gamma for seasonal trends.

Explore quantitative and qualitative forecasting methods, compare time series and cause‑and‑effect models, and apply consensus SNP/CPFR practices to improve forecast accuracy using POS data.

Explore demand management and forecasting techniques, including naive models, moving averages, percentage changes, exponential smoothing, trend lines, and error analysis to forecast and compare against actuals.