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174 CHAPTER 8 GETTING TO GROSS PROFIT
IT IS SIMPLE REALLY
Do not be terrified by the idea of forecasting sales. It really is quite straightforward. There
is no black magic or sorcery involved. Let me take you through an example.
Recall that Tetrylus Inc has developed a computer system that tracks the activities of
workers in hazardous industries – mining, oil and gas extraction, construction, accounting
Tetrylus is playing the numbers game. The planners have identified the number of
sales-channel business partners that they can support and the number of sales that the
partners are expected to make in a year. They have also projected the average number
of components that will be included in each sale (one software package and up to 2500
identity badges). Simple arithmetic produces sales volumes. From volume, costs and
prices are built up. These are shown in Figure 8.4. Inventories, sales, cost of sales and gross
profit are calculated automatically in Figure 8.6 (later). A descriptive extract from the busi-
ness plan is shown in Figure 8.8 (later) – and the example is continued in Chapter 9.
This is a simple and consistent forecasting. You might not agree with the numbers, but
you can alter the assumptions and produce a range of possible outcomes that you can
believe in – which is where our friend what-if comes in (Chapter 11).
Pulling it all together
Having arrived here, you have:
developed a strategy and an operating plan (Chapter 6);
laid down assumptions for the planning period;
used an economic/environment forecast to predict the path of leading indicators;
used leading indicators to forecast demand for your product class, category or
product itself;
allowed for changes in the pattern of demand for product class and category; and
estimated the effects of your strategy and plan on final demand for your product.
Now you need to pull together all of this analysis. Make a table with a row showing fore-
cast sales volumes for each month (or quarter or year). Put your projected sales prices for
each period into another row. Multiply one by the other and you have a forecast of gross
sales revenue per period. An example is shown in Figures 8.4 and 8.6. Note that all the
figures in the second half of the example (Figure 8.6) are calculated automatically. Change
a forecast or assumption in the first half, and you see the effect ripple through. This will
make your what-if modelling in Chapter 11 very easy.

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