Tier 2 · Supply Chain Terms

OTIF (On-Time In-Full)

OTIF (On-Time In-Full) is a supply chain performance metric that measures the percentage of orders delivered to the customer on the agreed date (on-time) with the complete quantity ordered (in-full), used as the primary compliance standard by major retailers and a key indicator of supply chain reliability.

Why It Matters

OTIF is not just a KPI. It is a financial exposure. Major retailers (Walmart, Target, Kroger, Costco) impose penalty chargebacks for OTIF failures, typically 3-5% of order value per incident. For a large CPG company shipping thousands of orders per week, a 2% decline in OTIF can translate to $5M+ in annual penalties. OTIF improvement is one of the highest-value outcomes because the penalty for failure is directly quantifiable.

The FourKites Perspective

FourKites inverts OTIF from reactive reporting to proactive prevention. The Order Twin models every order from PO creation through delivery, linking commercial data to physical movement. When a shipment's live ETA shifts past the required delivery date, the system flags the order as at-risk before the failure occurs. Tracy contacts the carrier autonomously. Cassie notifies the customer proactively. Across the FourKites network, the median OTIF for CPG shippers to major retailers is 93.4%. Top-quartile performers achieve 96.8%+.

Frequently Asked Questions

What is otif on-time in-full?

OTIF (On-Time In-Full) is a supply chain performance metric that measures the percentage of orders delivered to the customer on the agreed date (on-time) with the complete quantity ordered (in-full), used as the primary compliance standard by major retailers and a key indicator of supply chain reliability.

How does AI change otif on-time in-full management?

AI transforms otif on-time in-full from a reactive metric measured after the fact into a proactive capability predicted and optimized in real time. AI agents monitor data continuously, detect anomalies before they become problems, and take autonomous action using network intelligence from the FourKites Graph, which aggregates cross-company patterns from 882 enterprise shippers.

How does FourKites handle otif on-time in-full?

FourKites inverts OTIF from reactive reporting to proactive prevention. The Order Twin models every order from PO creation through delivery, linking commercial data to physical movement. When a shipment's live ETA shifts past the required delivery date, the system flags the order as at-risk before the failure occurs. Tracy contacts the carrier autonomously. Cassie notifies the customer proactively. Across the FourKites network, the median OTIF for CPG shippers to major retailers is 93.4%. Top-quartile performers achieve 96.8%+.

See how this concept powers autonomous operations.