Transit times / Bestline Supply Chain Usa Inc

Bestline Supply Chain Usa Inc

125 ocean import shipments. Delayed 36.6 points less often than the dataset average of 43.8%.

125
Shipments
7.2%
Arrived late
9 shipments
2 days
Average delay, when late
median 1 days
9 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
116
92.8%
On time
8
6.4%
1–3 days
0
0%
4–7 days
1
0.8%
8–14 days
0
0%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. COSCO
    0%
    790 late
  2. Zim
    28.6%
    1.1d
    288 late
  3. Evergreen
    0%
    80 late
  4. CMA CGM
    0%
    80 late
  5. HEDE Shipping
    0%
    10 late
  6. HMM
    100%
    9d
    11 late

By route

All 10 lanes.

% delayed avg days late, when laten = shipments
  1. Yantian > Long Beach, Ca
    0%
    890 late
  2. Shanghai > Los Angeles, Ca
    0%
    140 late
  3. Ning Bo > Newark, Nj
    100%
    1d
    77 late
  4. Yantian > Savannah, Ga.
    0%
    50 late
  5. Ning Bo > Los Angeles, Ca
    33.3%
    9d
    31 late
  6. Yantian > Norfolk, Va.
    0%
    20 late
  7. Xiamen > Long Beach, Ca
    0%
    20 late
  8. Nansha > Los Angeles, Ca
    0%
    10 late
  9. Kaohsiung > Los Angeles, Ca
    0%
    10 late
  10. Pusan > Newark, Nj
    100%
    2d
    11 late

By supplier

Top 12 of 14 suppliers; 2 shipments across the remaining 2 not shown.

% delayed avg days late, when laten = shipments
  1. Guangdong Manbin Logistics Supply C
    0%
    740 late
  2. Guangdong Sea Dreams Logistics
    53.8%
    1d
    137 late
  3. Guangdong Manbin Logistics Supply
    0%
    70 late
  4. Chinaarts Intertrans Shanghai
    0%
    70 late
  5. Ningbo Henton Supply Chain
    0%
    60 late
  6. Hanhaiyuntong Technology Logistics
    0%
    40 late
  7. Guangdong Sea Dreamslogistics
    0%
    40 late
  8. Fenghuolun Supply Chain Shenzhen Co
    0%
    30 late
  9. Deksu E Commerce Logistics Guangzho
    0%
    20 late
  10. Deksu E Commerce Logistics
    0%
    10 late
  11. Kingsun Shipping Co Ltd
    0%
    10 late
  12. Zhejiang Transeago
    100%
    2d
    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.

1.8%
n=109
2026-08-04
43.8%
n=16
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. Long Beach, Ca
    0%
    910 late
  2. Los Angeles, Ca
    5.3%
    9d
    191 late
  3. Newark, Nj
    100%
    1.1d
    88 late
  4. Savannah, Ga.
    0%
    50 late
  5. Norfolk, Va.
    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
    7.2%
    2d
    1118 late
  2. Grenada
    0%
    120 late
  3. Indonesia
    0%
    10 late
  4. Saint Helena
    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 →