McKinsey research into mid-mile and last-mile handovers found that waste created at blind handoffs between shippers, dispatchers, third-party logistics providers, and carriers accounts for between 6% and 13% of carrier revenue, with dwell time named as a leading driver.
Most OTIF recovery programmes target transport. The evidence points somewhere else. What follows is what OTIF measures, why the completeness half of the metric fails more often than the timing half, and the five steps that shorten the path a unit takes between arrival and departure.
What OTIF measures
OTIF stands for On Time In Full. It records whether a delivery arrived inside its agreed window and contained everything that was ordered. Both conditions must hold. An order that arrives on the correct day missing two lines fails the metric completely.
Most operations target performance between 95% and 98%, and a score below 90% generally indicates a recurring execution problem rather than isolated incidents.
MIXMOVE frames OTIF as a measure of how much of the delivery promise survived contact with the network. Every handling step between commitment and delivery is an opportunity for the promise to degrade, and the metric records only the final state.
Where the metric came from
OTIF entered general use through large retail compliance programmes, which set supplier scorecards with financial penalties attached. Other buyers adopted the model, and the metric moved from retail into manufacturing and distribution.
The consequence is that OTIF is now a commercial instrument rather than an operational one. A missed score produces chargebacks, contract review, and lost tender position, which is why it sits on finance reports as well as operations dashboards.
Why OTIF pressure has intensified
Delivery windows have narrowed, which removes the recovery time that used to absorb minor disruption.
Order profiles have fragmented. More lines, smaller quantities, and more destinations per inbound trailer all raise the number of places completeness can fail.
Cost pressure has removed the buffer that used to protect the score. Deloitte found that 66% of retail executives surveyed plan to restructure their supply chains if input costs rise, and that 30% already use AI for supply chain visibility, rising to an expected 41% within a year.
Why OTIF fails in full before it fails on time
Timing failure is visible. A vehicle is late and everyone knows it.
Completeness failure is silent until delivery. A line is short-picked, a pallet is mis-sorted, a unit is left on the dock, and nothing in the transport record indicates a problem. The vehicle departs on schedule and fails the metric on arrival.
This is where the systems gap sits. Transport management systems plan the movement and confirm the departure. Warehouse management systems govern stored inventory but treat flow-through freight as an exception. Visibility platforms report position and cannot change what is on the vehicle.
None of them own the moment the load is assembled, which is where completeness is decided. That is the same interface McKinsey identifies as the source of handover waste.
The five steps that shorten the critical path
Confirm the commitment before the freight arrives. Every inbound unit needs a known onward commitment, including destination, departure, and delivery window, before it is unloaded. Without it, sortation is guesswork.
Identify at item level, not consignment level. Completeness fails at line level. A system that confirms a pallet arrived cannot confirm the order is whole.
Remove the storage step where the commitment already exists. Freight with a confirmed onward departure gains nothing from putaway. Every putaway and retrieval cycle adds handling time and two more opportunities for error.
Surface exceptions while the freight is still on the dock. A short line discovered at the dock can be substituted, split, or reallocated. The same line discovered at delivery is an OTIF failure that has already happened.
Measure dwell as a leading indicator. Dwell is the earliest visible signal that sequence has broken. It moves before the OTIF score does, which makes it the metric worth managing.
The three layers that determine OTIF
Execution. Physical receipt, identification, sortation, and load confirmation.
Orchestration. Matching each unit to its onward commitment and delivering the sortation instruction to the point of work.
Intelligence. The record of what actually moved, used for service measurement, chargeback defence, and root cause analysis.
Most operations have the first and third. The missing layer is the second, which is the only one that can protect the commitment while the freight is still recoverable.
What the evidence shows
McKinsey attributes between 6% and 13% of carrier revenue to waste at handover points, with dwell time named as a leading driver.
Deloitte reports that 59% of executives surveyed anticipate positive return on investment from supply chain AI initiatives within 12 months.
Across MIXMOVE deployments, hub operations have recorded up to 80% fewer errors, up to 130% higher warehouse hub throughput, up to 50% less warehouse space, and up to 58% labour cost savings. Dwell time reductions of 40% and fill rate improvements of 10% to 20% have been recorded in hub operations. The platform is in use across 35+ distribution companies in 20+ countries.
At 3M, a decade of collaboration produced a 90% truck fill rate, a 35% reduction in transport costs, and a 50% reduction in CO₂ emissions.
“By using the MIXMOVE software, 3M managed to reduce transport costs by 35% and CO₂ emissions by 50%.”
— Patrick Van De Vyver, Former Head of EMEA Logistics Operations, 3M
How MIXMOVE HUB OS protects the delivery commitment
MIXMOVE HUB OS identifies inbound freight at item level on arrival and matches it against live outbound commitments before unloading decisions are made. Freight with a confirmed onward departure flows straight through, which removes two handling cycles from the critical path.
Where a line is short or an inbound unit is missing, the gap surfaces at the dock rather than at delivery, while substitution, splitting, or reallocation is still possible. The error is caught inside the window rather than recorded after it.
Sortation instructions surface at the point of work, so the load assembled physically matches the load committed commercially.
MIXMOVE HUB OS operates alongside an existing TMS, WMS, or ERP as an orchestration layer, or as a standalone platform where no system currently governs the dock.
MIXMOVE DI structures the resulting execution record for network-level analysis, including service performance by lane, customer, and site, and Scope 3 transport reporting built to ISO 14083 methodology.
OTIF is decided before the vehicle leaves. Storage is the step that hides the failure until it is too late to fix. Operations that assemble against a confirmed commitment stop discovering shortfalls at the customer’s door.
Book a MIXMOVE HUB OS walkthrough to see how a short line is caught at the dock instead of at delivery.
Frequently asked questions
What does OTIF mean?
On Time In Full. It measures whether a delivery arrived within its agreed window and contained the complete order. Both conditions must be met for the delivery to count.
What is a good OTIF benchmark?
Most operations target between 95% and 98%, depending on complexity. Performance below 90% usually indicates a recurring execution problem rather than isolated incidents.
What causes most OTIF failures?
Completeness failures are the more common and the harder to detect, because they are invisible in the transport record until the delivery arrives. They originate where the load is assembled rather than on the road.
How does cross-docking improve OTIF performance?
It removes putaway and retrieval from the critical path, which shortens lead time and eliminates two handling cycles where errors are introduced. The gain depends on knowing the onward commitment before the freight is unloaded.
