chapter 2. determining sales forecast

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    Determining Sales

    Forecast

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    Sales Forecast

    - predict the

    number of guests thatwill be serve and therevenues that will

    generate in a givenfuture time period.

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    Point of sales (POS) system

    - A computerizedsystem that can

    determine the actualsales for a currenttime period that hasbeen designed toprovide specific salesinformation.

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    Sales Volume- the number of

    units soldSales History- is the

    systematic recording

    of all sales achievedduring apredetermined timeperiod.

    Sales to date- is thecumulative total ofsales reported in theunit

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    Daily Sales (day 1)+ Daily sales (day2) = Sales to dateSales to date(day2)+ Daily sales(day3) = Sales to date

    Ezras Restaurant

    Sales Period Date Daily Sales Sales to Date

    Monday 2/1 Php. 5,550.75 Php. 5,550.75

    Tuesday 2/2 2,000.00 7,550.75

    Wednesday 2/3 6,785.01 14,335.76

    Thursday 2/4 1,800.00 16,135.76Friday 2/5 9,859.54 25,995.30

    Saturday 2/6 15,889.80 41,885.10

    Sunday 2/7 25,842.75 67,727.85

    Weeks Total 67,727.85

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    Sales Variances

    - Or changes frompreviously

    experienced saleslevels, gives theindication of whetherthe sales areimproving, declining,or staying the same.

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    Sales this year Sales last year = Variance

    Fast eat foods

    Month Sales This Year Sales Last Year VarianceJanuary Php. 280,000 Php. 200,500 Php. 79,500

    February 305,000 250,700 54,300

    March 175,500 89,800 85,700

    First-QuarterTotal

    760,500 541,000 219,500

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    Percentage Variance- percentage change in their sales from one time period to

    the next.

    Fast eat foods

    Month Sales This

    Year

    Sales Last

    Year

    Variance % Variance

    January Php.280,000

    Php.200,500

    Php. 79,500 3.97%

    February 305,000 250,700 54,300 2.16%

    March 175,500 89,800 85,700 9.54%

    First-QuarterTotal

    760,500 541,000 219,500 4.0%

    Variance Sales Last Year = Percentage Variance

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    Revenue ForecastSales Last Year + (Sales Last Year x % Increase Estimate) =Revenue Forecast

    Sales Last Year + Increase Amount = Revenue Forecast

    Queso Pizza

    Month Sales LastYear

    % IncreaseEstimate

    IncreaseAmount

    RevenueForecast

    January Php. 108,000 7.5% Php. 8,100 Php. 116,100

    February 275,500 7.5% 20,662.50 296,162.50

    March 150,000 7.5% 11,250 161,250

    FirstQuarter Total

    533,500 7.5% 40,012.50 573,512.50

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    Questions?

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    8s Coffee Shop

    Month Sales ThisYear

    Sales LastYear

    Variance PercentageVariance

    January Php. 575,000 Php. 600,000

    February 585,700 480,000

    March 320,500 415,000

    April 250,000 175,000

    May 120,000 200,800

    June 115,000 208,500

    6 month total

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    Month Sales LastYear

    PredictedChange

    ProjectedSales

    Increase

    RevenueForecast

    July Php. 475,000 4.75%

    August 320,000 4.75%

    September 275,500 4.75%

    October 350,000 4.75%

    November 410,000 4.75%

    December 550,000 4.75%6 month total

    8s Coffee Shop