Your boss, Jay-Dee asks you to evaluate the forecasting systems below. Team I know that our forecasting tools like "black boxes" as our Enterprise Resource Planning (ERP) system performs the calculations for us. Seeing the results for each of the methods in the - Which method would you use for your forecasting in the next year? - Why would you choose this method? - Please describe HOW you think any one method is "better" than another. Please see the data below to substantiate your answer. I mean to say, refer to the data when answering the questions. Here is a brief description of the data available to you. Given information for 12 months of demand data (BLUE column), three forecasting methods are used: * Nve (green columns) Moving Average (purple columns) * Exponential Smoothing (brown columns) These methods are then evaluated with: * Mean Forecast Error (FE) * Mean Squared Error (MSE) * Mean Absolute Error (MAE) Jay-Dee Saltar, V-P ERP Naive: Future month equals the last month. Moving Average: Future month equals the average of the last 3 months. Exponential Smoothing Model: Future month equals a smoothing value times last month PLUS 1 - smoothing value times the last future forecast