On this page you can carry out forecast accuracy analysis by plan, plan input, and period versus actual demand.

You can specify the context of the product data combination that displays using the context selector in the top right of the page.

To change the data that displays on the page, select an option from the context selectors.

To search for an option, enter a numeric reference ID, alphabetic name, or a partial name in the Find... field.

You can specify parameters in the Edit Parameters (Global) card. The parameters then display in the Effective Parameters (Global) card.

ParametersValues
Forecast Accuracy Units or RevenueSelect Units or Revenue as the basis for forecast accuracy measurement.
Forecast Error Basis

The calculation for forecast error is the absolute forecast error divided by the selected divisor. This parameter specifies the divisor used in the calculation:

  • Actuals: Select this option to use the shipment history as the basis for forecast accuracy.
  • Forecast: Select this option to divide the forecast error by the forecast.
  • Minimum Error: Select this option to divide the forecast error by either the history or the forecast (whichever will give the lowest error). This measure can help to prevent incentivizing behavior that can introduce bias into forecasts.  
Forecast Accuracy Measure
  • MAPE: Select this option to specify forecast accuracy to be measured with the Mean Absolute Percentage Error (MAPE).
  • Accuracy: Select this option to specify the forecast accuracy to be measured with Forecast Accuracy (defined as 100% minus MAPE).
Lead Time Offset

Specify the number of planning periods to use as the lead time offset for forecast error calculations. For example, for a forecast made for Week 1, selecting a Lead Time Offset of 2 would begin to measure the forecast made in Week 1 from Week 3.

For example you can compare actuals of Week 3 with Archived Forecast captured for Week 3, based on the Stored Snapshot of Week 1.

Periods To Sum

Specify the number of planning periods to sum in the calculation of MAPE. 

For example, for a forecast calculated in Week 1, when you select a Lead Time Offset of 2 and Periods To Sum of 3, these parameters measure the forecast made in Week 1 offset to Week 3, and then summed for Week 3, Week 4 and Week 5.

The chart and table display forecast accuracy performance of the consensus plan for each of the inputs (Demand Plan, Commercial Plan, Consensus Plan, and Stat Forecast) by period for the selected product and product-customer records.


The chart and table each provide a selector in the bottom left corner of the cards, which enable you to specify the forecast accuracy measure. Note that the selectors are synchronized.

ParametersValues
Forecast Accuracy Weighted Average (%)Select this measure to display a weighted average of the forecast accuracy measure selected in the parameters at the top of the page.
Forecast Accuracy Simple Average (%)Select this measure to display the average of the forecast accuracy measure selected in the parameters at the top of the page.
Bias (%)Select this measure to display the bias % of the forecast accuracy measure selected in the parameters at the top of the page. This measure is calculated by error divided by absolute error.

The chart and table provide further analysis of the consensus plan performance and each of the inputs (Demand Plan, Commercial Plan, Consensus Plan, Stat Forecast) by period for the selected product and product-customer records. The data that displays in the chart and table is specified in the Edit Parameters (Global) card for the Lead Time Offset and Periods to Sum values and Forecast Accuracy Units or Revenue.

ParametersValues
Base HistoryThe values in this data series are the actual shipment history for the selected product or customer-product.
Demand PlanThe values in this data series are derived from the Demand Plan input to the Consensus Plan.
Commercial PlanThe values in this data series are derived from the Commercial Plan input to the Consensus Plan.
Consensus PlanThe values in this data series are derived from the Final Consensus Plan from the Consensus Planning .
Stat ForecastThe values in this data series are derived from the Statistical Forecast input to the Consensus Plan.