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sales forecasting
the process of predicting future sales levels by volume or value and future trends
sales forecasting is used to:
inform resource management about inventory levels, production output and logistics
information cash flows and budgets
aid workforce planning
time-series analysis
shows past sales figures in date order
marketers use this historical data, after fluctuations have been smoothed out to identify trends
trends can then be used to predict future sales
moving averages
Shows whether a trend is significant by smoothing out fluctuations on data
Allows for better identification of an overall trend
Identifies influencing factors on future sales e.g. seasonal, cyclical or random fluctuations
Sufficient data is needed to give validity to the trend identified
cyclical moving averages
sales fluctuate in line with trade cycle i.e. sales above average in boom periods and vice versa
seasonal moving averages
sales vary in line with season, so look at sales for particular time of year in comparison to average (trend) sales
random moving averages
sales pattern varies for a wide variety of reasons, mostly unpredictable e.f. weather, adverse publicity, changes in fashion
correlation
identifying of a relationship between 2 variables e.g. marketing budget and sales
negative correlation

zero correlation

positive correlation
