Plain-language questions
Ask for perfect order rate per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
KPI · Logistics
Perfect order rate: formula and example.
Perfect order rate is the percentage of orders that reach the customer without any problem: on time, complete, with the right items, undamaged and not returned. An order that fails on any one point does not count as perfect. It is the strictest measure of end-to-end order fulfilment.
Perfect order rate formula
Orders with no error at all (on time, complete, picked correctly, undamaged, not returned) ÷ total orders delivered × 100%
Worked example
In May 2026 Acme Groothandel delivered 2,000 orders, of which 1,880 were on time and complete. Of those 1,880, 30 were damaged, 25 had a picking error and 15 were returned, with no overlap. That leaves 1,880 − 30 − 25 − 15 = 1,810 perfect orders, so the perfect order rate is 1,810 ÷ 2,000 × 100% = 90.5%.
Fictitious figures for Acme Groothandel, a sample wholesaler.
How to read this KPI
A higher perfect order rate means less rework, fewer complaints and lower cost per order. Because every type of failure feeds into it, the figure only becomes useful when you also see which failure is most common. Compare with your own trend and by customer group; record which failures count so periods stay comparable.
Pitfalls with perfect order rate
- Multiplying the component percentages, when failures often occur together.
- Counting change-of-mind returns as a fulfilment failure.
- Not linking errors that only customer service knows about back to the order.
SQL & DAX
Calculating perfect order rate in SQL and DAX
Two examples on a fictitious data warehouse for Acme Groothandel: a PostgreSQL query and a measure for a Power BI model. Adjust table and column names to your own model.
WITH per_order AS (
SELECT order_id,
BOOL_AND(delivered_at::date <= promised_date) AS on_time,
BOOL_OR(complete) AS in_full,
BOOL_OR(damaged) AS damaged
FROM shipments
WHERE delivered_at IS NOT NULL
GROUP BY order_id
),
pick_errors AS (SELECT DISTINCT order_id FROM picks WHERE errors > 0),
returned AS (SELECT DISTINCT order_id FROM returns)
SELECT ROUND(100.0 * COUNT(*) FILTER (
WHERE po.on_time AND po.in_full AND NOT po.damaged
AND pe.order_id IS NULL AND r.order_id IS NULL)
/ NULLIF(COUNT(*), 0), 1) AS perfect_order_pct
FROM per_order po
LEFT JOIN pick_errors pe ON pe.order_id = po.order_id
LEFT JOIN returned r ON r.order_id = po.order_id;Perfect Order % = DIVIDE(CALCULATE(DISTINCTCOUNT(OrderDelivery[OrderID]), OrderDelivery[OnTime] = TRUE(), OrderDelivery[InFull] = TRUE(), OrderDelivery[Damaged] = FALSE(), OrderDelivery[HasPickError] = FALSE(), OrderDelivery[Returned] = FALSE()), DISTINCTCOUNT(OrderDelivery[OrderID]))In ENABLE
Tracking this KPI in ENABLE
In your Power BI dashboard
Define the KPI as a measure in your Power BI model and show it in the portal, with "Last refreshed" next to it. Access profiles and optional row-level security decide who sees which figures.
Custom dashboards (pilot)
Add the KPI as a tile to a custom dashboard, compared with last year. The Dashboard Builder is a pilot and can be switched on per client.
Monthly targets
With the built-in Targets app you set a target for the KPI per month, so you see actuals and target side by side.
FAQ
Frequently asked questions
How do you calculate perfect order rate?
Count the orders where nothing went wrong: on time, complete, picked correctly, undamaged and with no return or complaint. Divide by the total number of orders delivered. Decide upfront which types of failure you include.
Can you calculate perfect order rate by multiplying percentages?
It works as an approximation, but it is only accurate if the failures are independent. In practice they often go together, for example an order that is both late and incomplete. Counting per order gives a more reliable figure.
What is the difference between perfect order rate and OTIF?
OTIF only looks at on time and in full. Perfect order rate adds conditions such as correct items, no damage and no return. Perfect order rate is therefore equal to or lower than OTIF.
Further reading
- KPI libraryLogistics KPIs: formulas and examplesLogistics KPIs measure whether orders reach the customer on time, complete and at a reasonable cost. The data comes from your WMS, shipping platform and carrier statuses.Read more
- ResourcesHow to build a KPI dashboard: steps and examplesA KPI dashboard is an overview of the key figures you use to steer towards your goals, such as revenue, margin, on-time delivery or absenteeism. A good KPI dashboard does not start with the software, but with the decisions it needs to support. You then choose a limited number of KPIs, define them, sketch the dashboard and only then build it.Read more
- SolutionPower BI dashboard portal: share dashboards securelyShare your Power BI dashboards securely in your own portal, with role-based access.Read more
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