Transit times / Giga Cloud Logistics Inc

Giga Cloud Logistics Inc

51 ocean import shipments. Delayed 52.3 points more often than the dataset average of 43.8%.

51
Shipments
96.1%
Arrived late
49 shipments
5.5 days
Average delay, when late
median 1 days
13 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.

2
3.9%
Early
0
0%
On time
28
54.9%
1–3 days
0
0%
4–7 days
21
41.2%
8–14 days
0
0%
15+ days

By carrier

All 3 carriers used.

% delayed avg days late, when laten = shipments
  1. CMA CGM
    100%
    5d
    3939 late
  2. HMM
    100%
    7.6d
    1010 late
  3. MSC
    0%
    20 late

By route

All 7 lanes.

% delayed avg days late, when laten = shipments
  1. Yantian > Los Angeles, Ca
    100%
    1d
    2626 late
  2. Tianjin > Savannah, Ga.
    100%
    13d
    1313 late
  3. Ning Bo > Los Angeles, Ca
    100%
    9d
    44 late
  4. Ning Bo > Newark, Nj
    0%
    20 late
  5. Xiamen > Los Angeles, Ca
    100%
    2d
    22 late
  6. Yantian > Savannah, Ga.
    100%
    9d
    22 late
  7. Qingdao > Los Angeles, Ca
    100%
    9d
    22 late

By supplier

Top 12 of 40 suppliers; 28 shipments across the remaining 28 not shown.

% delayed avg days late, when laten = shipments
  1. Lang Fang Aibike Network
    100%
    13d
    33 late
  2. Huizhou Huayuan Intelligent
    100%
    1d
    33 late
  3. Shenzhen Yuefeng Zhiqi
    100%
    13d
    22 late
  4. Langfang Katino Supply Chain
    100%
    13d
    22 late
  5. Ningbo Ouxin Sports
    100%
    13d
    22 late
  6. Dongguan Jiateng Furniture Co Ltd
    100%
    1d
    22 late
  7. Huizhou Huayuan Intelligent Home
    100%
    1d
    22 late
  8. Faketu Furniture Co Ltd
    100%
    1d
    22 late
  9. Dongguan Dc Furniture Co Ltd
    100%
    5d
    22 late
  10. Shenzhen Juxing Furniture Supply
    100%
    13d
    11 late
  11. Langfang Kailide Trade Co Ltd
    100%
    13d
    11 late
  12. Nanchang Montary
    100%
    13d
    11 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=32
2026-08-04
89.5%
n=19
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
    100%
    2.5d
    3434 late
  2. Savannah, Ga.
    100%
    12.5d
    1515 late
  3. Newark, Nj
    0%
    20 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
    95.9%
    5.7d
    4947 late
  2. Taiwan
    100%
    2d
    11 late
  3. Switzerland
    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 →