What it measures
% of order lines that cannot be fulfilled immediately
it measures a service failure that has already occurred (stock was unavailable at time of order). The commercial damage, a lost sale or service penalty, is locked in the moment the backorder is created.
Business impact
- Triggers a 'chaos tax' of premium freight to rush late production, overtime in the warehouse to re-pick consolidated orders, and increased customer service workload managing escalations.
Formula
(Backordered order lines / Total order lines) x 100Grain
One row per customer sales order line — customer × product × site × date
Inside the Implementation Pack
A preview of what's actually built for this KPI — extracted from the real Implementation Pack, not a mockup.
This is the primary ratio the pack's other measures build on — trend, rank, and period-comparison variants, all on Fact_Customer_Order_Line. It guards against missing dates and values with NOT ISBLANK checks.
Fact_Customer_Order_Line— 6 mandatory columns — qty ordered, product key, ...Dim_Customer— key + nameDim_Product— key + nameDim_Site— key + nameDim_Date— Auto-generated calendar table — no customer data required
Full field-by-field data contract, in 4 SQL dialects (SQL Server, Snowflake, Databricks, BigQuery), ships in the pack.
| Target | 0.003 — performance considered compliant at or below this line |
| Warning | 0.015 — amber alert — triggers a review |
Both live in one Excel tab — change them, refresh the report, done. No DAX editing needed.
Everything you need to build Backorder Rate in Power BI — dimensional model, DAX measures, SQL views, and a food-industry demo dataset.