📈 Free Supply Chain Tool

OTIF Performance Calculator,
Measure Your Delivery Reliability

OTIF (On-Time In-Full) is the gold standard delivery KPI. Calculate your current OTIF score and identify where your delivery performance is breaking down.

⚡ Instant results
🔒 No login
📊 Industry benchmarks
🏭 GCC & Pakistan
📈
OTIF Performance Calculator

OTIF Performance Calculator

Enter your delivery data to calculate OTIF rate and separate On-Time and In-Full component scores.

Total orders dispatched in the period
Orders delivered on or before agreed date
Orders delivered with correct quantity
Orders that met both criteria
Rs
Average value per order (for impact calc)

OTIF Performance Results
OTIF Score
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On-Time & In-Full %
On-Time Rate
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Delivery timeliness %
In-Full Rate
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Order completeness %
Failed Orders
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Orders not meeting OTIF

OTIF Formula

OTIF (%) = (Orders On-Time AND In-Full / Total Orders) × 100
On-Time Rate = (On-Time Orders / Total Orders) × 100

World-class benchmark: OTIF 95%+ • Retail/FMCG: 98%+ • Pakistan SME average: 72-80%

Why OTIF Is the Gold Standard KPI

OTIF measures whether your customer received exactly what they ordered, when they expected it. Unlike separate on-time or fill-rate metrics, OTIF gives no partial credit. An order that arrives on time but short is an OTIF failure. An order that is complete but one day late is also an OTIF failure.

OTIF Benchmarks

World-class OTIF is 95%+ across most industries. Retail and FMCG supply chains target 98%+. Pakistan SMEs we assess typically score between 72-80% OTIF, with late delivery being the more common failure mode versus short shipment.

What is the difference between OTIF and fill rate?
Fill rate measures only whether the correct quantity was shipped. OTIF combines both the on-time dimension and the in-full dimension. A 95% on-time rate and 95% fill rate does not equal 95% OTIF, it equals approximately 90% OTIF because both conditions must be met simultaneously.
How do I improve my OTIF score?
First identify whether your failures are primarily on-time failures or in-full failures. On-time failures usually point to planning, production scheduling, or logistics issues. In-full failures usually point to inventory availability, picking accuracy, or order management issues. Address the dominant failure mode first.
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