OTIF (On Time In Full)
Your OTIF number is a set of decisions.
What OTIF means, how to calculate it, and why the same six months of orders can score 98%, 92.5%, or 68% depending on how you count.
What OTIF Means
On time. In full. Both, or it fails.
OTIF stands for On Time In Full. It is the share of customer orders delivered by the promised date and in the full quantity ordered. An order that arrives late, or short, fails.
It is the delivery metric customers care about most, because it measures what they actually experienced: did they get what they ordered, when they were told they would. Large retailers score their suppliers on it. Plants report it to leadership. And the two numbers rarely match.
The formula is simple. The definitions inside it are not, and that is where the gap comes from.
How to Calculate OTIF
The formula
OTIF % = deliveries on time and in full ÷ total deliveries due
A delivery passes only if it clears both tests. On time means delivered on or before the promised date. In full means the quantity delivered matches the quantity ordered. Late and complete fails. On time and short fails.
Worked Example
A week with 200 order lines due:
- Shipped short10
- Delivered late8
- Both short and late2
- Lines that failed (10 + 8 − 2)16
184 ÷ 200 = 92% OTIF (by line)
Same Orders, Three Numbers
98%, 92.5%, or 68%. Same deliveries. Only the counting changed.
Six months of real order data from a regional food manufacturer: about 1,500 orders and 13,000 order lines. Same definition of late, same definition of short. The only thing that changes from one calculation to the next is what gets counted.
Definitions used for all three
- On time
- Delivered on or before the promised delivery date. No grace window.
- In full
- Quantity shipped is at least the quantity originally ordered.
- Scored
- Only lines where something shipped. More on that in decision 02 below.
By units
Add up every unit ordered. Subtract the units shipped short and the units that arrived late. Divide what is left by the total.
- 17.91M units ordered
- − 0.13M shipped short
- − 0.24M delivered late
- = 17.54M on time and in full
17.54M ÷ 17.91M
97.9%
- Shows
- How much product reached customers. Big lines dominate the result.
- Use it for
- Volume and fill-rate conversations. Production and inventory planning.
- Watch for
- One large line can swing a whole month, and a single order entry mistake can look like a warehouse failure.
By order lines
Each product on each order is one line. A line passes if it was on time and in full. Count the lines that passed.
- 13,020 lines due
- − 690 shipped short
- − 325 delivered late
- + 35 counted twice (short and late)
- = 12,040 lines passed
12,040 ÷ 13,020
92.5%
- Shows
- How often things go wrong. Every line counts once, whether it is 5 units or 5,000.
- Use it for
- Running the operation. Tracking recurring misses by product, customer, or shift.
- Watch for
- A small miss and a huge miss count the same, so it can hide the one that hurt most.
By whole orders
An order passes only if every line on it passed. One short line fails the whole order.
- 1,500 orders due
- − 480 with at least one failed line
- = 1,020 orders fully on time and in full
1,020 ÷ 1,500
68%
- Shows
- How often a customer got exactly what they asked for. The view closest to the customer's experience.
- Use it for
- Customer conversations and scorecards. Service-level commitments.
- Watch for
- The harshest view. Orders with more lines fail more often, even when the operation is performing well.
It does not have to be one number for the whole company. The warehouse, operations, and customer service may each be best served by a different calculation. What matters is that each owner knows which one they are using, and why it fits their part of the business.
The Definitions Inside the Formula
Five decisions hidden in every OTIF number
Every OTIF report makes these choices, usually without anyone deciding them on purpose. They end up wherever the person who wrote the formula left them.
- 01
Units, lines, or whole orders
The biggest decision, and the one most reports never state. Choose on purpose, and label it on every chart.
- 02
Lines that shipped nothing
Some formulas only score a line if something shipped, so a line shorted to zero drops out instead of failing. Decide whether a cancelled line and a zero-shipped line are the same thing. They usually are not.
- 03
What counts as on time
On the promised date, or within a day? Late deliveries are often only a day late, so the grace window can move the number more than people expect. Either answer is defensible.
- 04
Original or amended quantity
When an order is cut after it is placed, do you score against what the customer first asked for or what the order says now? The more often orders change, the more this matters.
- 05
Whether over-shipping is in full
Many formulas count shipping extra as in full. Some customers do not, because too much product is its own problem at the receiving dock.
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