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Tarifflo/Companies/SUPREME COMMODITIESSnapshot · Q1 2026 (Jan – Mar)
Importer profile· US

SUPREME COMMODITIES

Supreme Commodities Q1 2026 supplier risk profile: 50 shipments, C-grade compliance score.

Supplier score
64C
/ 100
Q1 shipments
50
Tier-1 suppliers
0
Source countries
0
Top country
-
Q1 2026 overview

What this importer's trade footprint looks like

Supreme Commodities processed 50 shipments in Q1 2026. The company's supplier network data is currently unavailable, preventing identification of top sourcing countries or product categories. Without supplier and HS code visibility, the full scope of their sourcing footprint cannot be assessed at this time.

Compliance

Sanctions watchlist & forced-labor exposure

Sanctions screen
No matches in 4.2M-record corpus

Trigram screen against OFAC SDN, BIS Entity List, UFLPA Entity List, SAM Exclusions, EU FSF, UK HMT, UN SC, and 25+ allied jurisdictions.

UFLPA forced-labor proximity
No suppliers in proximity to documented sites

Distance-screened against all 380 facilities in the ASPI Xinjiang Data Project. Proximity score: 100 / 100.

Supreme Commodities registered zero sanctions watchlist matches in Q1 2026. No suppliers show forced-labor proximity exposure under UFLPA frameworks.

Risk score

Composite breakdown · 64 / 100

Activity
70
Diversification
0
Stability
0
Recency
98
Forwarder-clean
100
HS consistency
100
Forced-labor proximity
100
Sanctions clean
100
Tier 1

Top suppliers

0 distinct tier-1 suppliers in Q1 2026

Geography

Country mix

Share of Q1 2026 inbound shipments by source country

Locked

Tier 2 / Tier 3 supplier graph

0 tier-2 + 0 tier-3 nodes mapped - sign up to see them.

Tier-2 supplier #1 · CN
Tier-3 supplier #2 · CN
Tier-2 supplier #3 · CN
Tier-3 supplier #4 · CN
Tier-2 supplier #5 · CN
Tier-3 supplier #6 · CN
Tier-2 supplier #7 · CN
Tier-3 supplier #8 · CN
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Methodology. Snapshot built from US Customs AMS import and export bill-of-lading records arrived between Q1 2026 (Jan – Mar). Supplier risk score is a composite of activity, diversification, stability, recency, forwarder-cleanness, HS consistency, sanctions screen, and forced-labor proximity. Sanctions screen runs trigram similarity against the OpenSanctions FTM corpus (4.2M+ records, 32,982 sanctioned entities, 91,894 names + aliases). Forced-labor proximity is a haversine distance from each CN supplier's resolved coordinate to the nearest of 380 documented facilities in the ASPI Xinjiang Data Project. This page shows the Q1 2026 (Jan – Mar) snapshot only - sign up for live updates.
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