Order accuracy is a key KPI in warehouse management and describes the proportion of customer orders that are delivered completely, correctly, and without errors.
It is one of the most important quality KPIs in the warehouse, as it directly impacts:
Formula:
(Error-free orders ÷ total number of orders) × 100
Example:
A company ships 12,000 orders per month.
Of these, 11,760 are error-free.
→ Order accuracy = 98%
Target values vary depending on industry and level of automation:
👉 Especially in e-commerce, an order accuracy of at least 99% is often required.
Low order accuracy causes significant follow-up costs:
👉 At the same time, it is a key driver of customer satisfaction and repeat purchase rate.
Errors typically occur in the following process steps:
1. Introduce scan-based processes
Barcode scans at every process step significantly reduce errors.
2. Use pick-by technologies
e.g. pick-by-voice or pick-by-light to support employees.
3. Optimize warehouse structure
4. Integrate quality checks
5. Standardize processes
Clear workflows and training increase process reliability.
👉 High order accuracy does not automatically mean efficient processes.
Example:
A warehouse achieves 99.5% but requires above-average time.
→ Therefore always consider it in combination with other KPIs, e.g.:
Order accuracy is closely related to:
👉 Only in combination do they provide a complete picture of warehouse performance.
An online retailer introduces barcode scanning throughout the entire process:
Result:
A Warehouse Management System (WMS) enables:
Order accuracy is one of the most important warehouse KPIs and connects operational quality with customer satisfaction.
Companies that systematically measure and optimize this KPI benefit from:
👉 High order accuracy is not a coincidence, but the result of structured and transparent processes.