Quick Summary: Demand Planning provides multiple views for different planning activities. The Planning view is the default workspace, the Multi view shows demand across members at the next hierarchy level, and the Stats view evaluates forecast performance. Switching views changes the planning perspective without changing the selected hierarchy or underlying demand.
Understanding Demand Planning views
Demand Planning provides three primary views:
Planning: Reviews and refines historical demand and forecasts.
Multi: Reviews and adjusts multiple members from the next hierarchy level.
Stats: Evaluates forecast behavior and performance.
The Planning view is the default Demand Planning workspace. Most of the functionality described in the Cleansing Sales History and Forecast Refinement articles is performed in this view.
The Multi and Stats views provide additional perspectives for reviewing distributed values and evaluating forecast performance.
Switching views changes how the current planning scope is presented. It does not change the selected hierarchy or underlying demand.
Planning view
The Planning view is the default Demand Planning workspace.
It displays historical demand, forecast measures, and planning periods in the Planning table, with corresponding information presented in the graphs.
Most demand preparation and forecast refinement activities are performed in this view, including:
Reviewing and preparing historical demand
Reviewing the Computer Forecast
Entering Forecast Promotions, Forecast Adjustments, and Forecast Overrides
Reviewing the Working Forecast
Saving or undoing changes
Finalizing the forecast
Values can be adjusted individually or across multiple selected cells within the Planning table.
➜ For detailed instructions, read: How To: Adjust Values in Demand Planning
Multi view
The Multi view displays multiple members from the next hierarchy level at the same time.
This view is particularly useful after a value has been adjusted at a higher hierarchy level. It shows how the higher-level value has been distributed across the members beneath it.
For example, when a Promotion is entered at a location level, the value is distributed across the applicable items or customers below that location. The Multi view displays this distribution in separate rows, making it easier to review and refine the result.
Configuring the Multi view
Select the Multi tab.
Select the pencil icon in the upper-right corner of the table.
Select the measure or row to display.
Select the required planning period.
Select Update.
Forecast Adjustments may be displayed by default, but another available measure can be selected through the configuration settings.
The table refreshes to display the selected measure across the members at the next hierarchy level.
Add a concise baseline explanation of working with this and a link to the universal editing article.
Working in the Multi view
Values displayed in the Multi table can be adjusted individually or across multiple selected cells. The same general editing controls used in the Planning table are available in this view.
Selecting a hierarchy member from the Multi table changes the planning context to that member for more detailed review.
➜ For detailed instructions, read: How To: Adjust Values in Demand Planning
Stats view
The Stats view provides analytical information about forecast performance.
The hierarchy and planning scope remain unchanged when moving from Planning to Stats. The same items, locations, customers, or other hierarchy members remain selected, but the perspective changes from forecast editing to performance analysis.
Stats measures are informational and cannot be edited. The Cover Forward period is the only adjustable element in this view.
Forecast History
Forecast History shows how the forecast for a future period changed across successive planning cycles.
The waterfall table is structured as follows:
Rows: Represent the month or planning cycle in which the forecast was created.
Columns: Represent the future periods being forecast.
Cells: Contain the forecast created during a specific planning cycle for a specific future period.
Reading down a column shows how the forecast for that period changed as new information became available.
A stable progression indicates that the forecast remained relatively consistent. Frequent or substantial changes may indicate reactive forecasting, late-arriving information, or unstable demand.
The Now line separates historical demand from future forecast periods in both the chart and waterfall table.
Cover Forward
Forecast performance is evaluated within the Cover Forward window.
Cover Forward represents the future demand period that directly influences current replenishment decisions. It is determined by:
Lead Time
Order Cycle Length
Safety Cover
For example, a product with a two-month Lead Time, a one-month Order Cycle, and one month of Safety Cover has a four-month Cover Forward period.
The forecasts created within this window are evaluated because they were available when the relevant replenishment decisions were made and could therefore influence actual orders.
Forecasts created before an item entered the Cover Forward window had not yet influenced replenishment decisions and are not evaluated in the same way.
Forecast performance measures
The Stats view includes several measures that help evaluate forecast quality.
Average Forecast and Variance
For each future period, the forecasts created during the Cover Forward window are averaged to produce the Average Forecast, displayed in the Avg FC row.
This value represents the forecast available to support replenishment decisions during that period.
The Average Forecast is compared with actual demand in the History row.
The difference is displayed as Variance:
In the selected unit of measure.
As a percentage.
Variance indicates whether demand was over-forecast or under-forecast during the Cover Forward window.
Forecast Bias
Forecast Bias shows whether forecasts consistently overestimate or underestimate demand.
Positive Forecast Bias: Indicates consistent over-forecasting.
Negative Forecast Bias: Indicates consistent under-forecasting.
Because Bias measures the direction of forecast error, a persistent result may indicate a systematic forecasting tendency that requires review.
Forecast Risk
Forecast Risk reflects how volatile or unpredictable demand has been relative to the forecast.
Higher Forecast Risk: Indicates demand that is more difficult to forecast reliably.
Lower Forecast Risk: Indicates demand that is more stable and predictable.
Forecast Bias identifies the direction of forecast error, while Forecast Risk reflects the level of uncertainty.
Previous year comparison
The corresponding Cover Forward period from the previous year is highlighted in the Stats view.
This provides historical context for the current planning decision by showing how the same periods behaved previously. The comparison helps assess whether the current forecast:
Reflects seasonal demand.
Aligns with previous demand behavior.
Differs substantially from the corresponding historical period.
Interpreting the Stats chart
The chart provides a visual summary of how forecasts changed over time.
The shaded band represents the range of forecasts created for each period:
Upper edge: Represents the highest forecast
Lower edge: Represents the lowest forecast
Dotted center line: Represents the Average Forecast
A narrow band indicates that forecasts remained relatively consistent. A wider band, as indicated in the image above, indicates that forecasts changed significantly as new information became available.
Adjusting Cover Forward
Cover Forward is the only adjustable element in the Stats view.
Changing the Cover Forward value changes the evaluation window used to assess forecast performance. It does not edit forecast values or historical demand.
Using Stats to guide refinement
The Stats view connects previous forecasting decisions with their outcomes.
Forecast History, Average Forecast, Variance, Bias, and Forecast Risk help identify:
Forecasts that changed repeatedly
Consistent over-forecasting or under-forecasting
Demand with greater uncertainty
Areas that may require further review in the Planning view
These insights provide feedback for future forecast refinement and support continuous improvement across planning cycles.
Using the Analysis View
The Analysis view in the Stats tab provides a structured overview of Forecast Risk or Forecast Bias based on the current hierarchy selection.
To use the Analysis view:
Select the Stats tab.
Select Analysis, located alongside the Linear Chart and Scatter Plot views.
Review how demand is distributed across the available Forecast Risk or Forecast Bias ranges.
Select a range to drill down into the hierarchy members contributing to it.
Continue drilling down through additional hierarchy levels where more detailed analysis is required.
This view helps identify where the most significant risk or bias is concentrated, allowing planning effort to focus on the areas with the greatest potential impact.
Choosing the appropriate view
Each view supports a different planning activity.
View | Primary purpose |
Planning | Reviewing and refining historical demand and forecast values. |
Multi | Reviewing and adjusting how higher-level values are distributed across members at the next hierarchy level. |
Stats | Evaluating Forecast History, forecast performance, Forecast Bias, and Forecast Risk. |
Moving between views changes only the planning perspective. The selected hierarchy and underlying demand remain unchanged.
⚠️ Watchouts
Each view serves a different purpose: Planning, Multi, and Stats support different planning activities rather than separate sequential stages.
The Stats view is informational: Forecast performance measures cannot be edited. Only the Cover Forward period can be changed.
Changing views does not change demand: Switching views changes only how the current planning scope is displayed.
💡 Tips
Use the Planning view for demand changes: This is the primary workspace for preparing historical demand and refining forecasts.
Use the Multi view to validate distributed changes: Reviewing lower hierarchy levels helps confirm that higher-level adjustments have been distributed appropriately.
Use Stats to guide future refinement: Review Forecast History, Forecast Bias, Forecast Risk, and Variance to identify areas that may require attention during future planning cycles.
Use the Analysis view to prioritize effort: Review the distribution of Forecast Risk or Forecast Bias and drill into the ranges containing the most significant issues.
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