Inventory optimization is not simply “reduce inventory.” A distributor can cut inventory and still make the business worse if the reduction lands on high-value items that customers expect to be available.
The real objective is to decide where inventory creates value and where it only consumes capital.
Why distributors are difficult to optimize
Distribution businesses often combine thousands of SKUs, uneven demand, supplier lead-time variation, multiple locations and service-level expectations. That creates too many item-level decisions for a buyer to evaluate manually.
The core decisions
- How much demand should we expect?
- How uncertain is that demand?
- How long and how variable is supplier lead time?
- How much service risk can we tolerate?
- When should an item be reordered?
- How much should be ordered?
- Which SKUs deserve scarce working capital?
Optimization starts with segmentation
A fast-moving, high-margin critical SKU should not use the same policy as a low-value item that sells twice a year. ABC/XYZ segmentation is one useful first layer: ABC captures economic importance; XYZ captures demand predictability.
Forecasting is only one part
A forecast estimates what may happen. An inventory policy turns that information into a decision. For many operations, the valuable system is therefore:
The end product should be exceptions
Management does not need a daily spreadsheet containing 15,000 recommendations. A useful decision layer prioritizes the handful of item-location combinations with unusually expensive excess, likely stockouts, abnormal supplier behavior or questionable replenishment rules.
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