4.3 Sales Forecasting Flashcards
What are some problems with quantitative data?
- Sample may be too small (insignificant)
- Industry could be subject to fast technical change
- External environment can change
What are some limitations of sales forecasting?
- Assumes that past leads into the future
- Take no account of uncontrollable factors (eg. government)
- Takes no account of changes to company objectives
What are the 3 methods of sales forecasting?
- Times series analysis
- Extrapolation
- Moving averages
What is the times series analysis?
Past sales figures are presented in date order
What are the 3 types of variations the “times series” analysis uses?
- Seasonal variation
- Cyclical variation
- Random variation
What is “seasonal” variation?
Calendar periods during which more or less demand for consumer products is evident is referred to as a seasonal trend.
What is “cyclical” variation?
Recurrent fluctuations in sales revenues linked to the business cycle
What is “random” variation?
Unpredictable and erratic fluctuations in sales revenues, caused by irregular factors
What is the extrapolation method of sales forecasting?
Future predictions are based on past sales figures
The past results are plotted on a graph and the line is EXTENDED
What is the “moving averages” method of sales forecasting?
Moving averages involve smoothing out figures to show a trend
–> Add figures / (number of figures)
EG. 67 + 70 + 64 = 201
201 / 3 = 67
So *67* is the 3 point moving average
What are some advantages of “moving averages”?
- Useful for identifying seasonal variations to predictions
- Reasonably accurate for short-term forecasts under stable conditions
- Assists with planning
What are some disadvantages of “moving averages”?
- Difficult to calculate
- Not useful for long-term forecasts as projected sales are based on past data
- Line is not exactly straight so difficult to extrapolate
Why do firms carry out sales forecasting?
- Want to note trends
- To see if any seasonal factors affect their product
- To know if cycles arise within our demand patterns
- To know what to budget for
- To avoid over production
- Be ready for market changes
- Ensure that they can meet future demand