Forecast Accuracy definition
Forecast Accuracy means the accuracy of the “Lag 2 Week” included in Bottler’s Rolling Forecast for each Distribution Center, which is the forecasted volume to be purchased from CCR for the second week of each such Rolling Forecast, and is measured as 1 minus the Mean Absolute Percent Error (MAPE) over the 1 week period measured. “MAPE” is defined as the sum across all SKUs of the absolute value of the difference between the SKU-level Lag-2 Week of the Rolling Forecast provided to CCR and the actual SKU-level trade sales of Product sold by Bottler in the Territory for such Lag-2 Week, divided by the actual SKU-level trade sales of Product sold by Bottler in the Territory for such Lag-2 Week. Bottler will not be responsible for forecast errors to the extent attributable to Product not delivered by CCR (i.e., the calculation will be adjusted to take into account Product not delivered by CCR to a particular Distribution Center for the Lag-2 Week period in question).
Forecast Accuracy means the accuracy of the “Lag 2 Week” included in Purchaser’s Rolling Forecast for each Purchaser Distribution Center or Regional Manufacturing Facility, which is the forecasted volume to be purchased from Supplier for the second week of each such Rolling Forecast, and is measured as 1 minus the Mean Absolute Percent Error (MAPE) over the 1 week period measured. “MAPE” is defined as the sum across all SKUs of the absolute value of the difference between the SKU-level Lag-2 Week of the Rolling Forecast provided to Supplier and the actual SKU-level trade sales of Product sold by Purchaser in the Territory for such Lag-2 Week, divided by the actual SKU-level trade sales of Product sold by Purchaser in the Territory for such Lag-2 Week. Purchaser will not be responsible for forecast errors to the extent attributable to Product not delivered by Supplier (i.e., the calculation will be adjusted to take into account Product not delivered by Supplier to a particular Distribution Center or Regional Manufacturing Facility for the Lag-2 Week period in question).
Forecast Accuracy means the accuracy of the “Lag 2 Week” included in Purchaser’s Rolling Forecast for each Purchaser Distribution Center, which is the forecasted volume to be purchased from Supplier for the second week of each such Rolling Forecast, and is measured as 1 minus the Mean Absolute Percent Error (MAPE) over the 1 week period measured. “MAPE” is defined as the sum across all SKUs of the absolute value of the difference between the SKU-level Lag- 2 Week of the Rolling Forecast provided to Supplier and the actual SKU-level trade sales of Product sold by Purchaser in the Territory for such Lag-2 Week, divided by the actual SKU-level trade sales of Product sold by Purchaser in the Territory for such Lag-2 Week. Purchaser will not be responsible for forecast errors to the extent attributable to Product not delivered by Supplier (i.e., the calculation will be adjusted to take into account Product not delivered by Supplier to a particular Distribution Center for the Lag-2 Week period in question).
Examples of Forecast Accuracy in a sentence
If the Parties agree to a Rolling Forecast as part of Section 6(a), then Forecast Accuracy will be measured.
More Definitions of Forecast Accuracy
Forecast Accuracy means the accuracy of the “Lag 2 Week” included in Purchaser’s Rolling Forecast for each Purchaser Distribution Center or Regional Manufacturing Facility, which is the forecasted volume to be purchased from Supplier for the second week of each such Rolling Forecast, and is measured as 1 minus the Mean Absolute Percent Error (MAPE) over the 1 week period measured. “MAPE” is defined as the sum across all SKUs of the absolute value of the difference between the SKU-level Lag-2 Week of the Rolling Forecast provided to Supplier and the actual SKU-level trade sales of Product sold by Purchaser in the Territory for such Lag-2 Week, divided by the actual SKU-level trade sales of
Forecast Accuracy means the accuracy of the “Lag 2 Week” included in CCR’s Rolling Replenishment Forecast for each Distribution Center, which is the forecasted volume to be purchased from Bottler for the second week of each such Rolling Replenishment Forecast, and is measured as 1 minus the Mean Absolute Percent Error (MAPE) over the 1 week period measured. “MAPE” is defined as the sum across all SKUs of the absolute value of the difference between the SKU-level Lag-2 Week of the Rolling Replenishment Forecast provided to Bottler and the actual SKU-level shipments of Product shipped to CCR for such Lag-2 Week, divided by the actual SKU-level shipments of Product shipped to CCR for such Lag-2 Week. CCR will not be responsible for forecast errors to the extent attributable to Product not delivered by Bottler (i.e., the calculation will be adjusted to take into account Product not delivered by Bottler to a particular Distribution Center for the Lag-2 Week period in question). CCR will use commercially reasonable efforts to (a) meet the “Forecast Accuracy Performance Target” set forth in the Service Level Agreement, and (b) track, measure, and report to Bottler Forecast Accuracy weekly by Lag 2 Week.
Forecast Accuracy shall be a percentage calculated for a particular calendar period as follows: one hundred percent (100%) minus a percent equal to the absolute value of ((the number of cases of Products actually ordered during the period minus the number of cases of Products forecasted to be ordered for the period) divided by the number of cases of Products actually ordered during the period). As an illustration of the above, if 100 cases were forecasted to be ordered during the period and only 80 were actually ordered during the period the Forecast Accuracy is: 100% - (80 - 100)/80 = 75%