Most importers don't. Tarifflo makes the upstream visible.
No survey, no questionnaire, no "please ask your supplier who their supplier is." We derive the tier 1 / 2 / 3 graph directly from US AMS, Mexican customs, and international bill-of-lading records.
When the consignee on the BoL is FedEx, DHL, or a NVOCC, your apparent supplier diversification looks better than reality. Our forwarder-detection layer cleans this up automatically.
Your tier-1 contracts say you have three suppliers. The graph shows all three pull from the same tier-2 fabricator in Vietnam. That's the risk that matters.
Every dollar of sourcing rolled up by country and HS code. Tells you immediately when 80% of a HS chapter ships through one port.
Global news event feeds piped through trade-relevance filters for the countries and companies in your supplier graph. New sanctions, port closures, civil unrest, regulatory shifts - surfaced where it matters.
A+ to F grade per supplier with breakdowns: activity, diversification, stability, recency, forwarder-cleanness, HS consistency, sanctions-clean, and forced-labor proximity. Bring objective data into vendor reviews.
We scan 4.2M OpenSanctions records (32,982 indexed entities, 91,894 names + aliases) on every supplier load. OFAC SDN, BIS Entity List, UFLPA Entity List, SAM Exclusions, EU/UK/UN, and 25+ allied jurisdictions are all in. Trigram fuzzy matching catches the variants exact-match misses.
Every CN supplier is geo-resolved and distance-scored against all 380 documented detention facilities from the ASPI Xinjiang Data Project. The penalty rolls into the supplier score - so a Xinjiang co-located supplier shows up red in your tier-1 view, not buried in a quarterly compliance report.
Built for compliance, sourcing, and operations leaders.
Auto-derive sub-suppliers and upstream vendors from bill-of-lading data - no manual mapping, no surveys.
See where every dollar of your sourcing actually originates, by country and HS code.
Distinguish real suppliers from freight forwarders so your supplier graph reflects reality.
A+ to F grades with breakdowns for activity, diversification, stability, and HS consistency.
Flagged the moment a new shipper appears in your importer's recent shipments - first BoL surfaced.
Global news events ingested in 15-minute increments and filtered to the countries and companies in your supplier graph, ranked by relevance.
What HS codes flow through which supplier, and how concentrated your sourcing is per chapter.
Notifications when any single supplier or country crosses your concentration threshold.
Auto-screen every tier-1 supplier against 4.2M OpenSanctions records (32,982 entities, 91,894 names) - OFAC, BIS, UFLPA, EU/UK/UN, and more.
All 380 documented XJDP detention facilities loaded; CN suppliers are distance-scored to the nearest one and the penalty flows into the supplier grade.
From compliance to procurement, the same graph answers different questions.
US Customs AMS import and export bills of lading, Mexican customs records (SAT), and additional international customs feeds - over 10 million linked shipment records. Refreshed daily.
Each tier-1 supplier is itself an importer in their own country. We trace whom they buy from in the same shipment-link graph. The depth is limited only by where the data goes - usually 3 tiers in, sometimes deeper for well-connected nodes.
Yes - the alternative-sourcing module surfaces alternative tier-1 suppliers shipping the same HS codes from countries you don't currently buy from. It's the diversification-finder.
We maintain a curated list of major NVOCCs and forwarders, plus a name-pattern detector for unlabeled forwarders. False-positive rate is under 2%; false-negatives mostly catch up within a refresh cycle.
Tier-1 mapping works for any importer in our shipment-link database (currently US and Mexican customs). Tier-2 and tier-3 derivation works wherever the upstream importer also appears in those datasets.
Bills of lading land in our pipeline within 24-72 hours of being filed. The supplier graph is refreshed daily. Sanctions data is rebuilt from the OpenSanctions FTM dump (4.2M+ records, 30+ programs) and the forced-labor layer is anchored to the ASPI Xinjiang Data Project v1.0 (380 documented facilities).
Every tier-1 supplier is auto-screened against 32,982 sanctioned companies + 91,894 names and aliases across OFAC SDN, BIS Entity List, UFLPA Entity List, SAM Exclusions, US Trade Consolidated Screening List, EU FSF, UK HMT, UN Security Council, Ukraine NSDC + war sanctions, Canada DFATD SEMA, Australia DFAT, Switzerland SECO, Japan METI, Taiwan SHTC, World Bank debarred firms, and more. Every CN supplier is distance-scored against all 380 ASPI XJDP detention facilities.