A website and a slick catalogue prove nothing. A shipment history proves a lot. Here is the check to run before money moves.
Search their name in export records for their country. No record over a multi-year window is a serious question, not a disqualifier — but ask it.
Confirm the HS codes on their shipments match what they are quoting you, not an adjacent category.
A supplier quoting a container load should have a history of shipping container loads.
Regular monthly movements indicate a working operation. Two shipments eighteen months ago does not.
A supplier already exporting to your region has met comparable standards and documentation requirements.
If their quote sits far below every declared value in the record, understand exactly why before proceeding.
It will not tell you about quality disputes, financial health or whether they will answer the phone in six months. It establishes that a real trading business exists and operates at the scale claimed — which is the floor, not the ceiling, of due diligence. Start with export data.
Verification fails not because it is hard but because it is unstructured — people check whatever occurs to them and stop when they feel reassured. A fixed sequence removes that, and it takes an afternoon rather than a week. Confirm the trading history exists. Confirm it matches the product. Confirm it matches the scale. Confirm it is current. Confirm the destination spread is consistent with the market you are buying for. Then, and only then, look at the commercial proposal.
| Step | What good looks like | What should stop you |
|---|---|---|
| History exists | Several years of consignments | Nothing, or a single shipment |
| Product matches | Your line is core to their mix | Your line is incidental or absent |
| Scale matches | Typical consignment near your order | Your order dwarfs anything they have shipped |
| Currently active | Shipments in the last complete period | A long unexplained gap |
| Destination spread | Several markets, including regulated ones | One destination only |
| Price plausible | Declared values inside the band | Far below the band with no explanation |
A manufacturer typically imports inputs under related chapters and exports finished goods with steady volumes; a merchant exports across unrelated chapters with no matching input trail. Both can be good counterparties. But they have different cost structures, different ability to commit capacity, and different exposure if a shipment goes wrong — so knowing which you are dealing with before you agree terms is not pedantry, it is the basis on which the terms should be set.
Verification reduces risk; it does not eliminate it. The structure of the first transaction should assume that something you could not see is true. A trial order sized to their normal consignment, an inspection before shipment, payment terms that release money against documents or inspection rather than against a proforma, and a written record of what was agreed — none of these are unusual requests, and a supplier who resists all of them has told you something useful.
Everything above comes from the record and needs nothing from the counterparty. Doing it first means the conversation is about capability rather than about credibility.
Everything above is a framework, and a framework is only worth what it survives contact with. The useful discipline is to test each assumption against what consignments actually did, because customs data is one of the few commercial sources where the underlying event — goods crossing a border — physically happened and was documented under legal obligation at the time.
Fix the tariff line before anything else. Every filter, every duty figure and every comparison downstream depends on it.
Learn more ›A single period is a snapshot. Three years separate a trend from seasonality, and let you discount the incomplete recent periods.
Learn more ›Frequency and consistency beat size. A steady mid-scale counterparty is usually a better prospect than an occasional large one.
Learn more ›Declared unit values tell you the range you are entering before you quote into it.
Learn more ›Two failure modes account for most wrong conclusions drawn from trade data, and both are easy to avoid once named. The first is reading the incomplete tail of a series as a decline — authorities publish on a lag and revise afterwards, so the last one or two periods will fill in after you look. The second is reading a value movement as a demand movement, when declared value can move because volume moved, because unit price moved, or because the product mix inside a tariff line changed.
Customs data covers goods that crossed a border. It does not cover services, domestic trade, margin, contract terms or intent. Treat it as a dated, quantified observation to corroborate — not as a conclusion that arrives finished.
The difference between teams that get value out of trade data and teams that ran one interesting project is almost never analytical sophistication. It is whether the work became a routine. A saved query reviewed weekly, a short written note against each counterparty you assessed, and a standing habit of checking the period stamp before quoting a figure will out-perform an elaborate one-off study within a quarter, because markets move and a study does not.
The second habit worth building is writing down not just what you concluded but why and when. Records get revised, prices move, and counterparties change behaviour. Six months later nobody remembers whether a supplier was rejected on volume, on price band or on timing, and without that note the assessment simply gets repeated from scratch. A one-line rationale is what converts a list into institutional knowledge, and it costs seconds at the point where the thinking has already been done.
Finally, be explicit with colleagues about the confidence attached to any figure you circulate. A declared value from a complete period, controlled for origin and unit, is strong evidence. The same figure pulled from an incomplete recent period, averaged across a whole chapter, is barely evidence at all — and the two look identical once they are in a slide. Saying which one you have is what keeps trade data credible inside an organisation over time.
Unbroken shipping history across several years and several destinations. It is difficult to manufacture retrospectively and correlates well with an operation that can deliver.
Within the last complete reporting period. Remember that the most recent one or two periods are still filling in, so an apparent stop is often lag rather than inactivity.
It is the strongest form of verification and not always feasible early. A third-party inspection of a production run plus a trial order gets you a long way at a fraction of the cost.
Then you are their first or nearly first export customer, which is not disqualifying but is a different risk. Size the first order accordingly and expect to carry more of the process.
Markets refresh on their customs authority's own release cycle — monthly for most, 45 to 60 days for a few. The most recent one or two periods are always still filling in, so exclude them when you are reading a trend rather than treating the gap as a decline.
Yes. Give us the HS code or a product description and the market you care about, and we will return a sample of live customs records filed against it.
Keep reading
The next questions this one usually raises are covered in Finding suppliers in an unfamiliar market, Sanctions screening and trade compliance and Letters of credit, explained. Each picks up where this article stops, and together they cover the sequence a consignment actually goes through — classification and duty before anything moves, documentation and payment while it moves, and verification of the counterparty before any of it is committed to. Reading them in that order is usually more useful than reading them by topic.