ON-TIME-IN-FULL PERFORMANCE

OTIF Pulse

Enter total orders, on-time orders, in-full orders, and orders that were both on-time and in-full to get your true OTIF percentage and see what's driving failures.

  • Uses your inputs in a transparent calculation
  • Instant result with practical next steps
  • No signup required

Planning guidance only. Validate important decisions with customer evidence and your delivery team.

How it works

1

Enter total, on-time, and in-full order counts

Add total orders in the period, how many were delivered on time, and how many were delivered in full.

2

Enter orders that met both conditions

Add the count of orders that were both on-time AND in-full — this is the genuine OTIF numerator, not just the two rates multiplied together.

3

Get your true OTIF percentage

The result shows OTIF alongside the individual on-time and in-full rates, and identifies whether late deliveries or incomplete orders are the bigger driver of your gap.

Frequently asked questions

What is the correct definition of OTIF?

OTIF is the percentage of orders that were both delivered on time AND delivered in full — the intersection of the two conditions on the same order, not the product of two independently measured rates. An order that was on time but missing items does not count as an OTIF success.

Why not just multiply the on-time rate by the in-full rate?

Multiplying the two rates assumes they are statistically independent, which is rarely true in practice — orders that are late are often also more likely to be incomplete, or vice versa. This tool asks for the actual count of orders meeting both conditions together for an accurate result.

What if I only track on-time and in-full rates separately today?

Estimate the joint count from your order-level data if possible — even a manual count from a sample of orders will be more accurate than assuming independence. This calculator surfaces exactly why that distinction matters.

Does OTIF Pulse pull data from my systems automatically?

No. It computes results only from the counts you enter — it does not connect to a live ERP, WMS, or TMS system.

What OTIF percentage is considered good?

Many supply chains target 95%+ OTIF as a strong benchmark, though acceptable thresholds vary by industry and customer expectations.

How We Compare

Feature MVPHub project44SAP Ariba
Instant true OTIF calculation (joint condition) Included Limited Limited
Live order-level OTIF tracking and alerts Not included Included Included
No signup required to try the calculation Included Not included Not included
Automated root-cause attribution by carrier/supplier Not included Included Limited

project44 and SAP Ariba track OTIF live at the order level with automated root-cause attribution. MVPHub gives a fast, transparent OTIF calculation from counts you already have, with no setup.

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