Full text: The model stock plan

THE MORE-PROFIT TIME TO BUY 143 
order in the exact sequence received. Customers knew 
they could not get deliveries at the time they wanted them 
unless they placed their orders before the output for that time 
was sold. 
When panic came, this company’s orders did not suffer 
badly from cancellations. Customers knew that other years 
were coming and had no inclination to offend so dependable 
a resource by canceling unfairly, thereby running the risk 
of being set down as undesirable customers and of having 
their orders refused in subsequent years when normal condi- 
tions returned. 
Thus the company’s steadfast adherence to a sound policy 
kept it supplied with orders to fill out part of the panic period 
but not enough to see it clear through. 
When, a little later, this corporation began to feel the pinch 
of insufficient demand, it met the situation by making up 
samples at prices so low that the orders obtained on this 
basis were filled at a real loss as long as the factories used 
raw materials they had in stock at the market prices prevail- 
ing before the panic. 
But soon the factories had orders for a great quantity of 
goods. They used up the raw materials on hand and needed 
fresh supplies. 
When this time came, the company benefited by the funda- 
mental rule already mentioned. I¢ bought when its com- 
petitors were not buying. 
This company was then practically the only customer in 
the market for raw materials.in considerable quantities. It 
supplied its needs at prices so low that the loss which had 
seemed inevitable was turned into a substantial total profit. 
In the ordinary course of business we cannot always adjust 
all of our buying exactly to the fundamental rule. It is 
more important to have the goods customers want than to 
have bought everything to the greatest possible advantage. 
We can, however, follow the rule to a very great extent if we 
keep it firmly and continuously fixed in mind. We must 
employ foresight. We must comprehend the factors that 
determine when the manufacturers are to be busiest. We
	        
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