9. For a specific model of a shoe brand, Carrefour (NIZWA) experienced a sales of 1000 units, 1100 units, 1250 units and 1500 units in the months of January, February, March and April. Furthermore, considering these sales figures related to some established trends, the Lulu managers assigned weights of 0.45, 0.25, 0.20 and 0.10 for these months respectively. a) Using the four-point moving average method, forecast the sales for the month of May. Also, compare it with the forecasted figures obtained using the weighted average method.

Contemporary Marketing
18th Edition
ISBN:9780357033777
Author:Louis E. Boone, David L. Kurtz
Publisher:Louis E. Boone, David L. Kurtz
Chapter14: Pricing Strategies
Section14.2: Forecasting Demand
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9. For a specific model of a shoe brand, Carrefour (NIZWA)
experienced a sales of 1000 units, 1100 units, 1250 units and
1500 units in the months of January, February, March and April.
Furthermore, considering these sales figures related to some
established trends, the Lulu managers assigned weights of 0.45,
0.25, 0.20 and 0.10 for these months respectively.
a) Using the four-point moving average method, forecast the
sales for the month of May. Also, compare it with the
forecasted figures obtained using the weighted average
method.
b) Forecast the sale for the month of May if the weights are
changed to 0.40, 0.30, 0.20 and 0.10 for the months of
January, February, March and April. If the actual figures for
the month of May comes out to be 1100, forecast the sales for
the month of June using the exponential smoothing technique.
The exponential smoothing constant is given as 0.20.
Transcribed Image Text:9. For a specific model of a shoe brand, Carrefour (NIZWA) experienced a sales of 1000 units, 1100 units, 1250 units and 1500 units in the months of January, February, March and April. Furthermore, considering these sales figures related to some established trends, the Lulu managers assigned weights of 0.45, 0.25, 0.20 and 0.10 for these months respectively. a) Using the four-point moving average method, forecast the sales for the month of May. Also, compare it with the forecasted figures obtained using the weighted average method. b) Forecast the sale for the month of May if the weights are changed to 0.40, 0.30, 0.20 and 0.10 for the months of January, February, March and April. If the actual figures for the month of May comes out to be 1100, forecast the sales for the month of June using the exponential smoothing technique. The exponential smoothing constant is given as 0.20.
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