Forecast Analysis
The Forecast Analysis dashboard is designed to help you analyze the following:
Total demand and forecast in the system for different demand categories such as Smooth, Intermittent, and Erratic
The over or under forecasting in each demand category using Bias and Bias Value
The Forecast Accuracy for different demand categories
The trend of the Forecast Method counts and Forecast Adjustments
This dashboard can help you answer business questions such as:
What is the comparison of overall trend of demand and forecast in units or values?
What is the count of SKU-Streams in each demand category and their Bias and Bias Values?
What is the count of SKU-Streams that have low, medium, or high forecast accuracy in each demand category?
What is the count of under and over forecasted SKU-Streams in each demand category?
What is the trend of Planner overrides on the Forecast Adjustment?
Which forecast method is used for most of the SKU-Streams in the system?
The information on this dashboard is grouped into the following widgets:
Widget
Description
The count of SKU-Streams that are planned in the system, with External Indicator = yes and Use In Total = yes
The count of demand outliers adjusted in the system
Forecast Category (TS): A pie chart of the count of SKU-Streams in the following groupings:
Over (Tracking Signal < - 0.5)
Under (Tracking Signal > 0.5)
Accurate (Tracking Signal between -0.5 and 0.5
Not Calculated
Demand Category: A pie chart of the count of SKU-Streams in the following demand categories:
Smooth
Intermittent
Erratic
Units and Values charts that compare Total Demand and Forecast of the system.
Units and Values charts that compare Total Demand and Forecast of Smooth, Intermittent and Erratic demand categories.
Total absolute Bias and Bias Value of all the under and over forecasted SKU-Streams for Smooth, Intermittent, Erratic demand categories
Click the bar chart to open the Forecast Error Analysis dashboard, populated with selected Demand Category and Bias
Count of SKU-Streams where Forecast Accuracy is Low (FA <= 25%), Medium (FA between 26% and 75%) and High (FA > 75%) for Smooth, Intermittent, Erratic demand categories
Click the bar chart to open the Forecast Error Analysis dashboard, populated with selected Demand Category and Forecast Accuracy
Count of SKU-Streams where Tracking Signal shows it is Under (TS > 0.5), Over (TS < - 0.5), Accurate (TS between -0.5 and 0.5) for Smooth, Intermittent, Erratic demand categories
Click the bar chart to open the Forecast Error Analysis dashboard, populated with selected Demand Category and Tracking Signal
A chart that shows a time-series count of Total SKU-Streams and the % of SKU-Streams that have forecast adjustments.
A chart that shows a time-series view of Forecast Methods used for forecasting of forecast streams with External Indicator = yes and Use In Total = yes
A chart that shows a time-series view of Forecast Methods of forecast streams that were used to calculate composite forecast.
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