3.3.1 - Quantative Sales Forecasting Flashcards

1
Q

Why is sales forecasting needed

A
  • HR plan
  • cash flow forecast
  • profit forecasts and budget
  • production planning
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2
Q

3 quantitative sales forecasting techniques

A
  • moving averages
  • extrapolation
  • correlation
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3
Q

Def moving average

A

Is a quantitative method used to identify underlying trends in a raw set of data

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4
Q

Sales forecasting def

A

This is the process of estimating the future sales of a business

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5
Q

Extrapolation

A

Means predicting by project past trends into the future

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6
Q

Def time series data

A

A series of figures covering an extended period of time

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7
Q

Process of moving averages

A

Adding several months, calculating average for these months

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8
Q

When is quantitative sales forecasting difficult

A

Dynamic markets, start up businesses and income and price elastic demand

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9
Q

Factors affecting sales forecasting

A

Consumer trends, economic variables, actions of competitors

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10
Q

Advantages of moving averages

A

Useful when dealing with seasonal data

Minimises extreme values

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11
Q

Advantages of extrapolation

A

Quick and easy to implement
Mostly accurate
Can preparer for particular time of year

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12
Q

Disadvantages of extrapolation

A

Doesn’t account for external factors
Not useful in some markets
Not statistically valid

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13
Q

Advantages of correlation

A

Predicts sales and demand

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14
Q

Disadvantages of correlation

A

Can’t predict uncertainty in sales

Changing markets

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15
Q

Def sales forecasting

A

This is the process of estimating the future sales of the business

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16
Q

Purpose of sales forecasting

A

Decide to increase productive capacity and employ more workers, allows businesses to work out cash flow forecasts, helps guide when a business should start promotional activity

17
Q

Def direct relationship

A

Happens as one variable increases, so does the other

18
Q

Def inverse relationship

A

Happens as one variable increases, the other decreases

19
Q

3 general limitations of quantitative sales forecasting techniques

A
  • future may not look like the past eg changes in external factors
  • quality of forecast reliant on ability of forecaster to interpret the data being used to generate forecast
  • time consuming/ complex to make