Transit times / Wmsc Logistics Services Llc

Wmsc Logistics Services Llc

56 ocean import shipments. Delayed 24.2 points less often than the dataset average of 43.8%.

56
Shipments
19.6%
Arrived late
11 shipments
1.4 days
Average delay, when late
median 1 days
3 days
Worst single delay

How late, when late

Every shipment placed in a band. Early and on-time are shown too, so the delayed share is read against the whole, not on its own.

0
0%
Early
45
80.4%
On time
11
19.6%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 5 carriers used.

% delayed avg days late, when laten = shipments
  1. Evergreen
    0%
    390 late
  2. CMA CGM
    72.7%
    1d
    118 late
  3. Maersk
    33.3%
    1d
    31 late
  4. ONE
    100%
    3d
    22 late
  5. Zim
    0%
    10 late

By route

All 9 lanes.

% delayed avg days late, when laten = shipments
  1. Yantian > Los Angeles, Ca
    28%
    1d
    257 late
  2. Yantian > Oakland, Ca
    0%
    190 late
  3. Jawaharlal Nehru > Newark, Nj
    33.3%
    1d
    31 late
  4. Yantian > Savannah, Ga.
    0%
    20 late
  5. Shanghai > Los Angeles, Ca
    0%
    20 late
  6. Ning Bo > Savannah, Ga.
    100%
    3d
    22 late
  7. Ning Bo > Los Angeles, Ca
    0%
    10 late
  8. Qingdao > Oakland, Ca
    100%
    1d
    11 late
  9. Yantian > Long Beach, Ca
    0%
    10 late

By supplier

All 3 suppliers.

% delayed avg days late, when laten = shipments
  1. Cardinal Maritime Shanghai Ltd
    15.7%
    1.5d
    518 late
  2. Maersk Logistics Services India Pr
    33.3%
    1d
    31 late
  3. Cardinal Global Logistics Vietnam
    100%
    1d
    22 late

Delay rate by arrival date

Share of each day’s arrivals that came in late. A single late vessel puts the same delay on every container it carried, so a tall isolated bar is usually one sailing rather than a bad week — the count under each bar is the check on that.

27.8%
n=36
2026-08-04
5%
n=20
2026-08-05

By destination port

Where the delay actually lands — a congested discharge port shows up here rather than under the carrier.

% delayed avg days late, when laten = shipments
  1. Los Angeles, Ca
    25%
    1d
    287 late
  2. Oakland, Ca
    5%
    1d
    201 late
  3. Savannah, Ga.
    50%
    3d
    42 late
  4. Newark, Nj
    33.3%
    1d
    31 late
  5. Long Beach, Ca
    0%
    10 late

By supplier country

Origin-side effects: a country whose shipments are consistently late points at booking or documentation, not at the ocean leg.

% delayed avg days late, when laten = shipments
  1. China
    16%
    1.5d
    508 late
  2. India
    33.3%
    1d
    31 late
  3. Vietnam
    100%
    1d
    22 late
  4. Norway
    0%
    10 late

Reading this

Delay is measured against each shipment’s own estimated arrival on the same manifest record, so it reflects what was promised for that shipment. Average days late is taken over delayed shipments only.

A delay is usually a property of one sailing: every container off a late ship arrives the same day. It is not only that — an estimated arrival is set per bill of lading at booking, so two containers on the same ship can carry different delays. Across the shipments that name a vessel, two thirds of same-ship, same-day groups share a single delay value and a third do not.

Watch the counts. A carrier or lane with a handful of shipments can show a dramatic rate off one or two late arrivals — the n beside every bar is there so a small sample is never mistaken for a pattern.

Track a shipment live →