PERFORMANCE

On-Time In-Full (OTIF) Calculator

Calculate order-based OTIF, on-time delivery, and in-full delivery for one consistent order cohort.

On-time & in-full delivery calculator

Calculate order-based OTIF, on-time delivery, and in-full delivery for one consistent order cohort.

How it works

Adjust the example values to match your scenario.

YOUR RESULT LIVE CALCULATION
Orders meeting both conditions
91% OTIF
ORDER-COUNT BASIS
On time94%
In full95%
Both (OTIF)91%
On-time delivery rate
94%
In-full delivery rate
95%
Orders missing at least one test
18
Orders missing both tests
4

One order cohort, two conditions. Uses the observed intersection, not multiplied percentages.

BEHIND THE NUMBER

How the calculation works

This is a binary, order-count model: an order passes OTIF only when it meets both tests. Use the same cohort for every count, including failures under your agreed delivery-window and completeness rules. The both count is an observed intersection, not the product of separate percentages. Unit-weighted or line-item-weighted measures are different models.

OTIF (%) = orders both on time AND in full / total orders assessed * 100

When this calculation helps

OTIF assesses the same orders against both a timing test and a completeness test. Define the delivery window and the meaning of complete before counting the cohort.

Check the interpretation

Enter the observed count that passed both tests. Separate on-time and in-full percentages cannot reconstruct that intersection. Keep overdue or unreceived orders under a consistent inclusion rule so a later delivery does not quietly change a historical denominator.

Good to know

Can I multiply the on-time and in-full percentages?

Not to recover the observed combined rate. The two conditions may be correlated; enter the count of orders that actually met both conditions.

How should partial or overdue orders be counted?

Define the cohort, due-date window, completeness rules, and exclusions before counting. An order with missing units fails the in-full test; an overdue order can fail the on-time test even if it has not arrived.