What it measures
Composite measure of ability to fulfill customer demand
CSL measures service failures after delivery; the consequence (retailer penalty invoice) is already locked in before the score is calculated.
Business impact
- Increased 'chaos tax' from firefighting: premium freight to recover missed delivery windows, unplanned production runs to cover short-shipments, and customer service overtime to manage the fallout of broken promises.
Formula
% of delivery lines meeting Fill Rate, On-Time Rate, and Completeness thresholds simultaneouslyGrain
One row per outbound delivery line — customer × product × requested delivery 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_Outbound_Delivery_Line. It guards against missing dates and values with NOT ISBLANK checks.
Fact_Outbound_Delivery_Line— 11 mandatory columns — carrier key, route key, ...Dim_Carrier— key + nameDim_Customer— key + nameDim_Plant— key + nameDim_Product— key + nameDim_Route— key + nameDim_Warehouse— 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 | 0.975 — performance considered compliant at or above this line |
| Warning | 0.95 — 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 Customer Service Level (CSL) in Power BI — dimensional model, DAX measures, SQL views, and a food-industry demo dataset.