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We explore analytically cardinal effects of the extent of demand randomness on optimal inventory levels and the associated expected costs. To model changes in demand randomness, we make extensive use of a mean-preserving transformation commonly used in probabilistic microeconomics, as well as the notion of risk-pooling (aggregating independent demands). For the single period (news vendor) model, the order quantity and associated costs are shown to depend on the randomness parameter in a simple and highly interpretable manner. We show by a simple example that in some situations risk pooling might neither reduce inventories, nor move them closer to the mean or median demand. The managerial relevance of such analyses is discussed.
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