Sales forecasting Flashcards
What is a sales forecast?
the total sales of a product that a firm expects to sell during a specified time period under specified environmental conditions and its own marketing efforts
What is sales forecasting?
the process that enables businesses to estimate their own future sales. This helps it to plan finance, workers and raw materials needed in the future and can help form a cash flow forecast.
What factors effect sales forecasting?
Economic factors - such as unemployment levels, inflation, interest rates, exchange rates, economic growth.
Consumer factors - consumers’ tastes and fashions are constantly changing, and businesses try to anticipate these changes through market research. However, consumers are notoriously unpredictable.
Competition factors - a business cannot control the actions of their competitors. However, their actions will affect not only the present business performance but the future business performance too.
When are quantitative methods used?
When historical data is available to use for objective and numerical methods.
What is extrapolation?
uses trends established from historical data to forecast the future
When are qualitative methods used?
Historical data is not available so opinions and views are used.
What is time series analysis?
Using historical sales data to discover patterns of sales
Seasonal analysis:
an analysis of daily, weekly, or monthly sales figures to evaluate the degree to which seasonal factors influence sales
Cycle analysis:
An analysis of sales figures for a three- to five-year period to ascertain whether sales fluctuate in a consistent, periodic manner, in relation to economic activity.R
Trend analysis:
an analysis that focuses on aggregate sales data over a period of many years to determine general trends in annual sales.
Random factor analysis:
Attempts to explain how unusual or extreme sales figures occur. For example, if sales of ice cream double for a two-week period, then could this be explained by weather conditions, rather than an effective advertising campaign? Random factor analysis therefore attempts to provide explanations for unusual or abnormal sales activity.
Advantages of time series analysis?
-Historical data can be reliable, particularly if collected over a long period of time.
-Specific to the business.
-Seasonal fluctuations can be measured and compared overtime to reveal patterns which act as a good basis for future predictions.
-Helps to plan raw materials, finances, workforce.
Disadvantages of time series analysis?
-Can be unreliable if there are significant fluctuations in the historical data.
-The process assumes the past trends will continue but this is unlikely in a competitive industry.
-Process ignores qualitative factors such as changes in tastes, fashions or external shocks.
What is correlation?
Shows a relationship between two variables that can be positive, negative or no correlation. This link is shown on a scattergram. A line of best fit can be drawn which can be used to extrapolate.
How do you calculate a three point moving average?
Averages using first three points, then the next three points, and so on.