GREAT STAR LOGISTICS

DOT 3675441MC 1276184ActiveInterstatePOMPANO BEACH, FL

COMPANY

Authority since

2021-07-30

MCS-150

2021-07-24

Fleet

0 units · — trailers · 0 drivers

ADDRESS

Physical

555 SW 12TH AVE
POMPANO BEACH, FL 33069

Mailing

162 SW PETER COYLE CT
LAKE CITY, FL 32025

CONTACT

Phone

9549570789

GREATSTARLOGISTICS01@GMAIL.COM

OFFICERS

Primary Officer

THOMAS SAMUEL RICKS JR.

Title

OWNER

OPERATION & CARGO

Operation classification

—

Specialty

Refrigerated / Produce

Cargo types

General FreightMetal: Sheets, Coils, RollsLogs, Poles, Beams, LumberBuilding MaterialsMachinery, Large ObjectsFresh ProduceMeatGarbage, Refuse, TrashRefrigerated FoodPaper ProductsUtilityFarm SuppliesConstructionOther

Self-reported by the company on its latest MCS-150 filing (FMCSA census). Reflects what the carrier is authorized and equipped to haul, not actual recent loads.

AUTHORITY

62 mo

Active authority

INSURANCE

None

No coverage on file

RISK GRADE

Moderate Risk

1 risk factors · 0 strengths

OOS RATE

0.0%

0 / 0 inspections

Fleet vs Reality

last 12 months · power-unit VINs from roadside inspections

Checking local VIN index…

Moderate Risk

25/100 risk points1 risk factor · 0 strengths · 2 data pointslow confidence

Weighted heuristic: crashes are decayed by recency and normalized per 100 power units, out-of-service and violation rates use a rolling 24-month window, plus FMCSA BASIC alerts and the CarrierIntel Safety Score (which also decays when compliance has not been verified by a recent inspection). Not the official FMCSA SMS score.

SAFETY PERFORMANCE

Crash Record

0 crashes · 0 fatal · 0 with injuries · 0 tow-away

Clean Inspection Rate

No inspection data

Out-of-Service Rate

—

COMPLIANCE & AUTHORITY

Operating Authority

Active operating authority on file

Authority Events

2 historical event(s) on file

MCS-150 Filing

Last filed 2021-07-24

INSURANCE

Active Coverage

No active insurance policies on file

SUMMARY

No active insurance on file

No inspections in the last 24 months — grade based on limited data