4.3 Sales forecasting Flashcards
sales forecasting
quantitative technique used to predice sales levels in future years
- either quantity of products or revenue
what is sales forecasting used for
- change production based on forecast
- change departmental budgets
- evaluate staff performance
three types of sales forecasting methods used
- causal models
- time series analysis
- qualitative techniques
causal models
- quantitative representation of real-world business dynamics, showing causal relationship between an independent and a dependent variable
scatter diagram created with a line of best fit created
- extrapolation to make predictions
time series analysis and moving averages
- statistical technique used by businesses to identify trends in historical data (ie sales revenue of previous data)
- assuming trends continue
graph time series data to see patterns
- time (independent) X sales (dependent)
- extrapolate line of best fit
three types of variations
- seasonal
- cyclical
- random
seasonal variations
- products have higher sales volume at certain times of the year
cyclical variations
- sales affected by economic cycle
(usually sales increase when economy is growing and employment is high; and sales decrease during recessions)
random variations
- market changes to sales data caused by unpredictable events
(ie natural disasters, sporting events, political unrest)
unpredictable
qualitative analysis: market research
- businesses can’t only rely on past quantitative data to make marketing mix decisions and sale forecasts
- identify and forecast buying preferences and behaviours of consumers
advantages of sales forecasting
- based on past data: validates results
- effective future planning: (ie new equipment, staff and inventories to meet demand)
- increase budgets to increase sales
- better ability to decide: (if forecast very negative, company withdraws product from market before it becomes a drain on resources)
limitations of sales forecasting
- not enough data: (for new companies)
- changing markets: rapid changing markets may make sales forecasts invalid
- flexibility: they are a guide, and managers need to remain flexible, not follow them blindly
- use of different methods to predict: (also use other ways of predicting future sales), be mindful of market research results and product life cycle analysis