Inventory Management

Inventory Optimization

Definition

The practice of setting inventory targets analytically so that service goals are met with the least stock investment. It replaces uniform rules of thumb with item-by-item, statistically grounded policies.

In Practice

Inventory optimization treats stock targets as an output, not an input. Instead of applying blanket weeks-of-supply rules, it models each SKU's demand variability, lead time, review cycle, and cost, then computes the safety stock and order parameters that hit the service target at minimum cost, often across thousands of SKU-location combinations.

For a planner, optimization typically reshapes the portfolio rather than shrinking everything: volatile, critical items often get more stock while stable, over-buffered items give plenty back. The usual result is the same or better service with 10 to 30 percent less inventory. Sustaining it requires re-running the optimization as demand and lead times drift, not treating it as a one-time project.

Example: a medical supplies distributor replaces a flat 4-weeks-of-supply rule with optimized targets. Stock rises on 400 erratic clinical items, falls on 2,600 steady commodity items, and the network releases 6 million dollars in cash while backorders drop 22 percent.

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