What Is Backlog?
Backlog measures the total customer orders that have been received but not yet completed. It can be expressed as a monetary value, number of units, or number of production days.
The Formula
Backlog = Sum of all open orders (value or units)
Backlog Days = Backlog Value ÷ Average Daily Sales
Typical Values
2–8 weeks of production is typical, varying widely by industry and business model.
Data Requirements
| Source | Required | What You Need |
|---|---|---|
| ERP | Yes | Open orders, order values, dates |
Backlog is a Phase 3 metric — it requires ERP order management data.
Why It Matters
- Capacity planning — validates whether current equipment and staffing levels are sufficient
- Revenue forecasting — represents committed future revenue
- Customer communication — enables realistic delivery promises based on current workload
- Business health indicator — a growing backlog signals strong demand; a shrinking one may signal trouble
The Balance
Too little backlog risks idle capacity and lost revenue. Too much backlog means long lead times and dissatisfied customers. The goal is a stable backlog that keeps the operation fully utilised without pushing lead times beyond customer tolerance.
Best Practices
- Monitor backlog trends — growing versus shrinking tells you about demand trajectory
- Maintain backlog at 2–4 weeks for operational stability where possible
- Use backlog data to adjust capacity (staffing, shifts, equipment)
- Communicate expected delivery dates based on current backlog, not theoretical lead time
Related Metrics
- Lead Time — backlog directly affects lead time for new orders
- Schedule Adherence — poor adherence causes backlog to grow
- Order Fulfilment Rate — backlog management affects fulfilment performance