Transit times / Dm Innovate Inc

Dm Innovate Inc

466 ocean import shipments. Delayed 18.9 points more often than the dataset average of 43.8%.

466
Shipments
62.7%
Arrived late
292 shipments
4.1 days
Average delay, when late
median 3 days
17 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.

48
10.3%
Early
126
27%
On time
173
37.1%
1–3 days
73
15.7%
4–7 days
42
9%
8–14 days
4
0.9%
15+ days

By carrier

Top 12 of 15 carriers; 15 shipments across the remaining 3 not shown.

% delayed avg days late, when laten = shipments
  1. MSC
    69.9%
    4.2d
    11379 late
  2. Evergreen
    53.8%
    1.3d
    10657 late
  3. Maersk
    19%
    1.5d
    428 late
  4. ONE
    32.4%
    1.1d
    3712 late
  5. OOCL
    100%
    6.9d
    3030 late
  6. Wan Hai Lines
    100%
    3.9d
    2929 late
  7. COSCO
    80.8%
    5.1d
    2621 late
  8. HMM
    96.2%
    8.4d
    2625 late
  9. Zim
    81.3%
    1.5d
    1613 late
  10. CMA CGM
    88.9%
    5.3d
    98 late
  11. Hapag Lloyd
    100%
    7.8d
    99 late
  12. SM Line
    0%
    80 late

By route

Top 12 of 49 lanes; 119 shipments across the remaining 37 not shown.

% delayed avg days late, when laten = shipments
  1. Ning Bo > Newark, Nj
    50%
    7d
    6633 late
  2. Ning Bo > Long Beach, Ca
    91.8%
    4.6d
    6156 late
  3. Ning Bo > Los Angeles, Ca
    38.5%
    5.5d
    5220 late
  4. Yantian > Newark, Nj
    75.8%
    3d
    3325 late
  5. Xiamen > Newark, Nj
    60.9%
    4.3d
    2314 late
  6. Pusan > Newark, Nj
    54.5%
    2.8d
    2212 late
  7. Ning Bo > Savannah, Ga.
    100%
    3.2d
    1818 late
  8. Yantian > Savannah, Ga.
    52.9%
    3d
    179 late
  9. Yantian > Long Beach, Ca
    50%
    2.3d
    168 late
  10. Xiamen > Los Angeles, Ca
    66.7%
    2d
    1510 late
  11. Qingdao > Newark, Nj
    53.8%
    2.1d
    137 late
  12. Pusan > Long Beach, Ca
    81.8%
    3d
    119 late

By supplier

Top 12 of 26 suppliers; 26 shipments across the remaining 14 not shown.

% delayed avg days late, when laten = shipments
  1. Zhejiang Donglixin Supply Chain Man
    75.9%
    5.6d
    162123 late
  2. Zhejiang Donglixin Supply Chain
    50.4%
    1.5d
    11759 late
  3. U S United Logistics Ningbo Inc
    96.1%
    3.7d
    5149 late
  4. Ningbo Wahfay Group Co Ltd
    21.1%
    1.5d
    388 late
  5. Zhejiang Donglixin Supply
    35%
    1d
    207 late
  6. U S United Logistics Ningbo Incor
    100%
    4.6d
    1414 late
  7. Ubi Logistics China Limited
    100%
    7.8d
    99 late
  8. Concord Tianjin International Freig
    0%
    70 late
  9. Ningbo Port Southeast Logistics
    33.3%
    1.5d
    62 late
  10. Cas International Co Ltd
    0%
    60 late
  11. Dongguan Boss International Logisti
    60%
    2d
    53 late
  12. Maxwide Logistics Inc
    20%
    5d
    51 late

By vessel

Vessel names are in the most recent data only — 466 of 466 shipments (100%) name one, across 78 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Msc San Francisco
    100%
    5.2d
    3838 late
  2. Ever Fast
    53.1%
    1d
    3217 late
  3. Msc Mumbai Viii
    13.8%
    1d
    294 late
  4. Oocl Tulip
    72%
    5.4d
    2518 late
  5. Msc Milan
    100%
    3d
    2121 late
  6. Oocl France
    100%
    7.3d
    1616 late
  7. Ym Tiptop
    100%
    2.3d
    1515 late
  8. One Singapore
    100%
    2d
    1313 late
  9. Hmm Aquamarine
    30.8%
    17d
    134 late
  10. Nyk Rumina
    92.3%
    2d
    1312 late
  11. Zim Mount Blanc
    76.9%
    2.7d
    1310 late
  12. Maersk Kinloss
    0%
    130 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.

78.7%
n=47
2026-07-27
64.1%
n=39
2026-07-28
83.3%
n=12
2026-07-29
60.6%
n=33
2026-07-30
82.4%
n=17
2026-07-31
90.5%
n=42
2026-08-01
17.6%
n=17
2026-08-02
78.6%
n=14
2026-08-03
47.1%
n=17
2026-08-04
43.4%
n=53
2026-08-05
42.9%
n=28
2026-08-06
96.1%
n=76
2026-08-07
33.3%
n=6
2026-08-08
17.6%
n=17
2026-08-09
15%
n=20
2026-08-10
35.7%
n=28
2026-08-11

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. Newark, Nj
    58.7%
    4.7d
    172101 late
  2. Long Beach, Ca
    80.2%
    3.9d
    10685 late
  3. Los Angeles, Ca
    38.7%
    4.3d
    9336 late
  4. Savannah, Ga.
    70.6%
    3.3d
    6848 late
  5. Houston, Texas
    81.8%
    2.7d
    119 late
  6. Tampa, Fla.
    100%
    2.9d
    77 late
  7. Oakland, Ca
    85.7%
    5.5d
    76 late
  8. Miami, Florida
    0%
    10 late
  9. Tacoma, Wa
    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
    65.2%
    4.2d
    440287 late
  2. Vietnam
    7.1%
    1d
    141 late
  3. Grenada
    50%
    1d
    63 late
  4. South Korea
    20%
    6d
    51 late
  5. Cambodia
    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 →