3.3.1 - Quantative Sales Forecasting Flashcards
Why is sales forecasting needed
- HR plan
- cash flow forecast
- profit forecasts and budget
- production planning
3 quantitative sales forecasting techniques
- moving averages
- extrapolation
- correlation
Def moving average
Is a quantitative method used to identify underlying trends in a raw set of data
Sales forecasting def
This is the process of estimating the future sales of a business
Extrapolation
Means predicting by project past trends into the future
Def time series data
A series of figures covering an extended period of time
Process of moving averages
Adding several months, calculating average for these months
When is quantitative sales forecasting difficult
Dynamic markets, start up businesses and income and price elastic demand
Factors affecting sales forecasting
Consumer trends, economic variables, actions of competitors
Advantages of moving averages
Useful when dealing with seasonal data
Minimises extreme values
Advantages of extrapolation
Quick and easy to implement
Mostly accurate
Can preparer for particular time of year
Disadvantages of extrapolation
Doesn’t account for external factors
Not useful in some markets
Not statistically valid
Advantages of correlation
Predicts sales and demand
Disadvantages of correlation
Can’t predict uncertainty in sales
Changing markets
Def sales forecasting
This is the process of estimating the future sales of the business