Transit times / Wiwynn International Corp

Wiwynn International Corp

160 ocean import shipments. Delayed 14.3 points more often than the dataset average of 43.8%.

160
Shipments
58.1%
Arrived late
93 shipments
10 days
Average delay, when late
median 12 days
20 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.

4
2.5%
Early
63
39.4%
On time
15
9.4%
1–3 days
29
18.1%
4–7 days
7
4.4%
8–14 days
42
26.3%
15+ days

By carrier

All 11 carriers used.

% delayed avg days late, when laten = shipments
  1. Kuehne + Nagel
    81%
    15.7d
    5847 late
  2. KWEO
    12.2%
    2d
    496 late
  3. YESL
    81.8%
    4.7d
    3327 late
  4. PSEA
    71.4%
    3d
    75 late
  5. JTNG
    0%
    40 late
  6. AIWL
    100%
    6.7d
    33 late
  7. CHKM
    100%
    3.5d
    22 late
  8. SZIG
    0%
    10 late
  9. Shipco Transport
    100%
    3d
    11 late
  10. DMER
    100%
    2d
    11 late
  11. DFDS
    100%
    2d
    11 late

By route

Top 12 of 16 lanes; 4 shipments across the remaining 4 not shown.

% delayed avg days late, when laten = shipments
  1. Hong Kong > Long Beach, Ca
    9.5%
    15d
    424 late
  2. Shanghai > Los Angeles, Ca
    69.4%
    15d
    3625 late
  3. Yantian > Long Beach, Ca
    95.7%
    11.4d
    2322 late
  4. Kaohsiung > Los Angeles, Ca
    60%
    3.9d
    159 late
  5. Yantian > Los Angeles, Ca
    81.8%
    5.6d
    119 late
  6. Hai Phong > Long Beach, Ca
    100%
    10d
    77 late
  7. Shanghai > Long Beach, Ca
    33.3%
    3.5d
    62 late
  8. Laem Chabang > Long Beach, Ca
    100%
    4.4d
    55 late
  9. Singapore > Los Angeles, Ca
    100%
    5d
    55 late
  10. Hai Phong > Los Angeles, Ca
    0%
    40 late
  11. All Other Malaysia Ports > Los Angeles, Ca
    100%
    15d
    11 late
  12. Xiamen > Los Angeles, Ca
    100%
    2d
    11 late

By supplier

Top 12 of 42 suppliers; 45 shipments across the remaining 30 not shown.

% delayed avg days late, when laten = shipments
  1. Hoxin Precision Thailand Co Ltd
    69.4%
    15d
    3625 late
  2. Wiwynn Corp
    53.8%
    4.1d
    137 late
  3. Delta Electronics Int L Singapore
    100%
    18.9d
    1111 late
  4. Dongguan Chenming Electronic Co Ltd
    88.9%
    4.5d
    98 late
  5. Dongguan Chenming Electronic Co
    77.8%
    4.7d
    97 late
  6. Foxconn Interconnect Technology
    14.3%
    1d
    71 late
  7. Wiwynn Technology Service Malaysia
    100%
    6.7d
    66 late
  8. Western Digital Storage Technologie
    100%
    13.6d
    55 late
  9. Te Connectivity Hk Limited
    60%
    4.3d
    53 late
  10. Amphenol East Asia Ltd
    0%
    50 late
  11. Panda Logistics Ltd O/B
    0%
    50 late
  12. Thai Horng Technology Co Ltd
    100%
    4.5d
    44 late

By vessel

Vessel names are in the most recent data only — 160 of 160 shipments (100%) name one, across 29 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Hawk I
    100%
    15d
    2525 late
  2. Oocl London
    0%
    210 late
  3. Xin Fei Zhou
    0%
    180 late
  4. Cma Cgm Tarpon
    0%
    110 late
  5. Ym Utility
    100%
    5.9d
    1111 late
  6. Ym Width
    100%
    4.2d
    99 late
  7. Danube
    100%
    20d
    77 late
  8. Ym Ubiquity
    0%
    60 late
  9. Ever Loyal
    100%
    3d
    66 late
  10. Conti Contessa
    100%
    5d
    55 late
  11. Colorado
    100%
    17d
    44 late
  12. Zeal Lumos
    100%
    4d
    44 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.

100%
n=11
2026-07-27
24.1%
n=29
2026-07-28
100%
n=3
2026-07-29
100%
n=1
2026-07-30
95.2%
n=21
2026-07-31
100%
n=10
2026-08-02
10%
n=40
2026-08-04
100%
n=26
2026-08-05
0%
n=6
2026-08-06
100%
n=1
2026-08-07
100%
n=1
2026-08-08
100%
n=7
2026-08-09
33.3%
n=3
2026-08-10
100%
n=1
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. Long Beach, Ca
    49.4%
    9.9d
    8542 late
  2. Los Angeles, Ca
    68%
    10d
    7551 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. Thailand
    76.6%
    13d
    4736 late
  2. China
    82.1%
    9.5d
    3932 late
  3. Hong Kong S.A.R.
    16.1%
    12.6d
    315 late
  4. Taiwan
    35.7%
    4.3d
    2810 late
  5. Vietnam
    42.9%
    2.3d
    73 late
  6. Malaysia
    100%
    6.7d
    66 late
  7. Norway
    0%
    10 late
  8. Portugal
    100%
    2d
    11 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 →