In: Finance
Burlington has tracked daily sales of coats for the three locations below:
Date |
Chicago |
Seasonal Relatives for Chicago Sales |
California |
New York |
1/4/18 |
152 |
0.3 |
640 |
456 |
1/5/18 |
195 |
0.4 |
586 |
650 |
1/6/18 |
653 |
1.5 |
420 |
543 |
1/7/18 |
187 |
0.5 |
645 |
632 |
1/8/18 |
240 |
0.6 |
507 |
546 |
1/9/18 |
207 |
0.8 |
623 |
531 |
1/10/18 |
311 |
0.9 |
511 |
544 |
1/11/18 |
373 |
1.2 |
500 |
639 |
1/12/18 |
225 |
0.5 |
576 |
570 |
1/13/18 |
276 |
0.3 |
540 |
544 |
1/14/18 |
475 |
0.7 |
475 |
674 |
1/15/18 |
755 |
1.1 |
645 |
711 |
1/16/18 |
732 |
1.4 |
534 |
594 |
1/17/18 |
975 |
2.2 |
511 |
564 |
1/18/18 |
170 |
0.3 |
650 |
693 |
1/19/18 |
203 |
0.7 |
699 |
645 |
1/20/18 |
288 |
0.8 |
580 |
570 |
1/21/18 |
378 |
0.9 |
520 |
456 |
1/22/18 |
400 |
1.3 |
546 |
609 |
1/23/18 |
798 |
1.6 |
576 |
585 |
1/24/18 |
1111 |
1.9 |
649 |
609 |
1/25/18 |
176 |
0.5 |
657 |
480 |
1/26/18 |
213 |
0.6 |
600 |
544 |
1/27/18 |
240 |
0.9 |
703 |
560 |
1/28/18 |
311 |
0.7 |
657 |
476 |
1/29/18 |
456 |
1 |
546 |
656 |
1/30/18 |
Question Set 1. Using only the Chicago sales data, generate the following sales forecasts:
1. Naïve forecasts (using the deseasonalized sales data) for January 5th through January 30th. You will need to adjust the sales data to remove the seasonality effects. (6pts)
2. Four-day moving average forecasts for January 8th through January 30th. (3pts)
3. Twelve-day moving average forecasts for January 16th through January 30th. (3pts)
Note that, for example, you will not be able to make a four-day moving average forecast for January 7th since four previous sales figures are required.
1.17 days average of sales between 5/1/18 to 30/1/18 up to the seasonal relative of 1 considering above 1 as seasonal effect as follows
195+187+240+207+311+225+276+170+203+288+378+176+213+240+311+456=239.76(It has been assumed that Seasonal factor up to and below 1 is normal sale excluding seasonal effects and average of aggregate of normal sale average is taken as projected sales for 1/30/18.
2.moving average of 4 sale are =296.75+318.75+321.75+236.25+282.75+279+296.25+337.25+268.25+432.75+559.50+734.25+658+520+409+259.75+317.79+466+671.75+621.25+574.50+435+235+305+311.69/24=423.96(moving average is calculated by averaging first four sales figure and thereafter excluding first sales figure every time and by taking average of all averages as final avg. projected sales figure is also taken for such calculation)
3.12 day moving average would be 473.67+438.58+395.33+401.14=1708.72/4=427.18