Sales forecasting has the following four primary purposes within the organization:
Internal and external forces make it difficult to develop an accurate forecast.
pipeline
A way of tracking the progress of sales deals that a sales team is currently working on and expects to close within a reasonable period of time
market potential
An estimate of the possible sales for a product or service for an entire industry in a market in a stated time period under ideal conditions
sales potential
The maximum or total sales from all perspective buyers of a product for a single firm, generally a percentage of total market potential
market share
The portion of a market controlled by a particular company or product; expressed in dollars or units
Forecasting Methods
Customer Surveys
sales force composite
A forecasting method that involves adding up individual sales representatives’ forecasts for sales in their respective sales territories
profit margin
The amount that revenue from sales exceeds costs
expected value analysis (EVA)
The value at some point in the future which Is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then adding up those values
Expected value = forecasted sales × respective probability
Sales Force Composite
Executive Opinion
Delphi Method
A method of group decision-making and forecasting that involves successively collating judgements of experts.
The Delphi technique was devised by RAND Corporation to help the U.S. government predict what might happen in post-World War II Europe. With internet access, the technique is easier to use than ever before.
Advantages and Disadvantages
time-series technique
Make forecasts based solely on the historical pattern of data
Time-series analysis can help identify and explain the following:
Any regularity or systematic variation in the data, for example, an increase in sales in the toy industry during the fourth quarter
Cyclical patterns that repeat every two to three years
Trends in the data
Growth rates of these trends
rollover or naïve approach
An estimating technique in which the previous period’s actual sales are used as the current period’s forecast, without any adjustment or explanation
To calculate the average of the absolute error, perform the following steps:
simple moving average forecast
A technique to get an overall idea of the trends for a data set using the average of any subset of numbers
weighted moving average
A weighted average of the last “n” prices, where the weighting decreases with each previous price
Exponential smoothing
A method for forecasting that is similar to a weighted average, except it uses an exponentially decreasing weight for past observations
to determine average daily sales perform the following steps:
cycles
A recurrent variation in a time series that typically lasts for two to five years