Forecasting Case Analysis: MGT 3332 Supply Chain Management Project

This project analyzes a forecasting case for Enterprise Industries' Fresh detergent brand. The assignment involves analyzing demand data over 33 sales periods, considering variables like price, industry price, advertising expenditure, and price difference. The solution includes time series scatter plots, correlation matrices, and forecasts using moving averages, exponential smoothing, and regression analysis. It explores seasonal indices and multiple regression models to predict future demand, providing insights into factors influencing demand and forecasting techniques for supply chain management. The project also includes the application of different forecasting methods and their respective MAD values to assess the accuracy of the forecasts and to choose the best method.