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Business & Marketing
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Topic:

Sales Forecast for the Vintage Restaurant (Essay Sample)

Instructions:

Given the sales statistics for the vintage restaurant, the writer is required to forecast the annual sales for the vintage restaurant and provide the necessary recommendations that will result in accurate accounting. The report analysis examines the current and future sales data for The Vintage Restaurant. The sales were analyzed using a dummy variable approach, and forecasts arrived through various calculations.

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Content:


Sales Forecast for The vintage Restaurant.
Student Name
Business Class
Tutor
Date
Abstract
This report analysis examines the current and future sales data for The Vintage Restaurant. The sales were analyzed using a dummy variable approach, and forecasts arrived through various calculations. The sales data suggest a seasonal trend where sales were highest during the beginning of the year when there is the availability of seafood due to good weather and fishing conditions, and lowest in the middle of the year, when there is scarce seafood availability due to harsh weather conditions. However, sales and returns of the restaurant are relatively productive on a monthly and annual basis. The Vintage restaurant system ought to be updated every month since recent data is recommended to be the most accurate when forecasting sales.
Question 1
The graph below represents a time series of the food and beverage sales for Vintage Restaurant($1000)
-47625092392500
Question 2
Forecast sales for January through December of the fourth year.
Month

t

Seasonal
Index

Y

Forecast

Forecast ($1000s)

Jan

37

1.443

207.1396

298.902443

298902.443

Feb

38

1.29915

208.161

270.432363

270432.363

Mar

39

1.34355

209.1824

281.047014

281047.014

Apr

40

1.04075

210.2038

218.769605

218769.605

May

41

1.04895

211.2252

221.564674

221564.674

Jun

42

0.80005

212.2466

169.807892

169807.892

Jul

43

0.82795

213.268

176.575241

176575.241

Aug

44

0.8526

214.2894

182.703142

182703.142

Sep

45

0.6277

215.3108

135.150589

135150.589

Oct

46

0.7

216.3322

151.43254

151432.54

Nov

47

0.8524

217.3536

185.272209

185272.209

Dec

48

1.15875

218.375

253.042031

253042.031

Question 3
Assuming sales for January the fourth year are $295,000. The forecast error would be:
Sales in January

Forecasted sales

$298,902

Actual sales

$295

...
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