The Missing Day
A global third-party logistics provider used Intelligent Logistics to measure transit time independently of carrier self-reporting — and found a specific lane and service level that had been quietly running a day longer than the rest of the network all along.
Measuring Transit Time the Network Actually Delivers
Every carrier reported on-time performance that looked fine. Customer service still heard from clients whose shipments felt late — with no way to tell whether that was a real pattern or a handful of unlucky packages.
As a global 3PL moving volume across a large, multi-carrier network, the customer had no consistent, shipper-side way to measure how long a shipment actually spent in transit — only what each carrier reported about its own performance. That made it impossible to tell whether a lane was genuinely underperforming or whether isolated complaints were just noise. Using Days in Transit, the team began calculating actual transit duration from initiation through delivery for every shipment, independent of what any single carrier claimed.
Finding the Lane the Aggregate View Was Hiding
Network-wide, nothing looked wrong. Broken out by lane and service level, one combination told a different story.
Transit Time Analysis let the team break transit duration down by carrier, service level, and lane rather than relying on a single network-wide average. That granularity surfaced a specific carrier and service-level combination, on a specific lane, that was consistently running roughly a day longer than the rest of the network — a gap the carrier's own reporting never flagged, because its aggregate on-time metrics stayed within normal range even while this one combination lagged behind.
With the pattern identified and isolated to a specific lane, the team had a concrete, data-backed basis for a carrier conversation about that combination specifically — and, in the meantime, could set delivery expectations with downstream customers on that lane that matched what the data actually showed, rather than continuing to promise a timeline the network wasn't consistently meeting.
A carrier's on-time rate can look fine in aggregate while one lane quietly runs a day behind — the difference only shows up once you measure transit time yourself, at the level of detail where the problem actually lives.