# Inventory optimization

*Last updated: 2026-06-22*

> Combining high service levels with low holding costs is the defining challenge that inventory optimization addresses.

Combining high service levels with low holding costs is the defining challenge that inventory optimization addresses. It applies statistical methods, demand forecasting, and automated replenishment models to reduce both overstock and stockouts across the supply chain simultaneously. In freight forwarding and e-commerce, every improvement translates directly to the bottom line: surplus inventory ties up working capital and generates holding costs, while insufficient stock puts delivery commitments and customer relationships at risk. Compared to general inventory management, inventory optimization is more quantitatively oriented and typically relies on model-based decision support – safety stock calculations, stochastic demand models, or dedicated planning software.

**Source:** [https://en.wikipedia.org/wiki/Inventory_optimization](https://en.wikipedia.org/wiki/Inventory_optimization)

## Quick Facts

| Property | Value |
|---|---|
| Term | Inventory optimization |
| Language | EN |
| Word count | 100 |
| Last updated | 2026-06-22 |
| Source | https://en.wikipedia.org/wiki/Inventory_optimization |

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