Transit times / Maple Lane Logistics Inc

Maple Lane Logistics Inc

68 ocean import shipments. Delayed 4.1 points less often than the dataset average of 43.8%.

68
Shipments
39.7%
Arrived late
27 shipments
12.8 days
Average delay, when late
median 1 days
30 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
41
60.3%
On time
16
23.5%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
11
16.2%
15+ days

By carrier

All 3 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    0%
    410 late
  2. Hapag Lloyd
    100%
    1d
    1616 late
  3. Zim
    100%
    30d
    1111 late

By route

All 4 lanes.

% delayed avg days late, when laten = shipments
  1. Pusan > Tacoma, Wa
    24.1%
    1d
    5413 late
  2. Qingdao > Seattle, Wa
    100%
    30d
    88 late
  3. Ning Bo > Tacoma, Wa
    100%
    1d
    33 late
  4. Ning Bo > Seattle, Wa
    100%
    30d
    33 late

By supplier

Top 12 of 17 suppliers; 5 shipments across the remaining 5 not shown.

% delayed avg days late, when laten = shipments
  1. Weifang Dahua Smart Home Furnishing
    0%
    170 late
  2. Qingdao Miracle International
    100%
    8.7d
    1515 late
  3. Shandong Carlsmy Houseware Co
    0%
    140 late
  4. Shanghai Pu Yang International
    100%
    1d
    44 late
  5. Cimc Wetrans Logistics Technology
    50%
    1d
    21 late
  6. Ningbo Get Win International
    100%
    30d
    22 late
  7. China Ocl Container Line Ltd
    50%
    30d
    21 late
  8. Maxwide Logistics Inc
    50%
    30d
    21 late
  9. Chs Container Shanghai Co Ltd
    0%
    20 late
  10. Qingdao Zhongfu International
    100%
    30d
    11 late
  11. Ningbo Whol Tac Supply Chain Co Ltd
    100%
    30d
    11 late
  12. Sino Majestic International
    100%
    30d
    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=11
2026-08-04
28.1%
n=57
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. Tacoma, Wa
    28.1%
    1d
    5716 late
  2. Seattle, Wa
    100%
    30d
    1111 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
    35.9%
    11.1d
    6423 late
  2. Norway
    100%
    30d
    22 late
  3. South Korea
    100%
    1d
    11 late
  4. Sudan
    100%
    30d
    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 →