In: Accounting
Five years of a well-established brand’s monthly sales volume data are shown in the table below. As may be noted, there is substantial seasonality in this brand's sales.
Forecaster Simulation: Problem #3 Data
Year 1 | Year 2 | Year 3 | Year 4 | Year 5 | Year 6 | |
January | 5550 | 4782 | 5283 | 4760 | 4314 | |
February | 5398 | 4897 | 4544 | 4930 | 4476 | |
March | 4236 | 4693 | 4370 | 4930 | 4476 | |
April | 2977 | 3747 | 2419 | 3065 | 3350 | |
May | 2345 | 2235 | 2463 | 2546 | 2274 | |
June | 1198 | 1156 | 1887 | 1602 | 1250 | |
July | 1090 | 1196 | 1194 | 1818 | 1392 | |
AUgust | 1530 | 1889 | 1759 | 2190 | 1942 | |
September | 1388 | 1324 | 2077 | 2007 | 1836 | |
October | 1522 | 1269 | 1440 | 1387 | 1593 | |
November | 2252 | 1763 | 1601 | 1571 | 1356 | |
December | 3746 | 3812 | 3712 | 3720 | 3642 |
Develop a monthly sales volume forecast for the brand for each of the first six months of Year 6. A total of six monthly forecasts are needed … one for each of January, Year 6 through to June, Year 6.
Describe the tool you will use to complete this forecast. Be sure to include "The tool I chose ..." or your answer will be marked incorrect.
The tool i chose to forecast sales is "projection of past sales" or "historical forecasting" method.
Percentage of increase and decrease of sales for each year is analysed and calculated the average percentage of change in the sales yearwise. With the help of that, Sales forecast is prepared for year 6..
Calculation is as follows:
Particulars | Year 1 | Change in % to year2 | Year 2 | Change in % to year3 | Year 3 | Change in % to year4 | Year 4 | Change in % to year5 | Year 5 | Average change in % | Increase/ Decrease |
Sales Forecast Year 6 |
January | 5550 | -14% | 4782 | 10% | 5283 | -10% | 4760 | -9% | 4314 | -6% | -244 | 4070 |
February | 5398 | -9% | 4897 | -7% | 4544 | 8% | 4930 | -9% | 4476 | -4% | -193 | 4283 |
March | 4236 | 11% | 4693 | -7% | 4370 | 13% | 4930 | -9% | 4476 | 2% | 84 | 4560 |
April | 2977 | 26% | 3747 | -35% | 2419 | 27% | 3065 | 9% | 3350 | 7% | 221 | 3571 |
May | 2345 | -5% | 2235 | 10% | 2463 | 3% | 2546 | -11% | 2274 | 0% | -10 | 2264 |
June | 1198 | -4% | 1156 | 63% | 1887 | -15% | 1602 | -22% | 1250 | 6% | 71 | 1321 |
July | 1090 | 10% | 1196 | 0% | 1194 | 52% | 1818 | -23% | 1392 | 10% | 134 | 1526 |
AUgust | 1530 | 23% | 1889 | -7% | 1759 | 25% | 2190 | -11% | 1942 | 7% | 144 | 2086 |
September | 1388 | -5% | 1324 | 57% | 2077 | -3% | 2007 | -9% | 1836 | 10% | 185 | 2021 |
October | 1522 | -17% | 1269 | 13% | 1440 | -4% | 1387 | 15% | 1593 | 2% | 32 | 1625 |
November | 2252 | -22% | 1763 | -9% | 1601 | -2% | 1571 | -14% | 1356 | -12% | -158 | 1198 |
December | 3746 | 2% | 3812 | -3% | 3712 | 0% | 3720 | -2% | 3642 | -1% | -25 | 3617 |