How to Verify a New Supplier: Trade Records & Due Diligence for Importers

Supplier verification usually fails before the first order, not after it. Most importers do not skip due diligence; they verify the wrong evidence — a well-designed website, a paid listing in an importers directory, or a reference list the supplier assembled itself. Trade records behave differently. They are created when goods physically cross a border, so they describe what an import export company actually ships, where it ships from, which markets it serves, and how often it trades.

This industry reference is written for procurement, sourcing and supply chain teams at importers, wholesalers and distributors evaluating a new overseas supplier. It answers the questions that arise most often during that evaluation, explains what supply chain data resources can and cannot prove, and closes with a practical checklist for reading trade records during supplier risk assessment.

Why supplier verification fails before it starts

The information asymmetry in international sourcing is structural. A prospective supplier controls nearly every document a buyer receives during first contact: the company profile, the factory photographs, the customer references, the sample. Each of these can be accurate and still incomplete.

Two failure modes account for a large share of difficult sourcing relationships. The first is treating directory presence as evidence of trade activity. Inclusion in an importers directory and list, or in a B2B marketplace, is a marketing decision; exporting goods is an operational fact. The two are not the same, and only one can be checked independently of the supplier.

The second failure mode is verifying the company instead of the trade behaviour. A company can be legally registered, financially stable and still be the wrong supplier for a specific product line, corridor or volume. The operative question is narrower: does this supplier trade, in my product category, into my destination market, at a frequency and volume that matches the relationship I am considering?

Trade data answers that narrower question because it records purchases as well as sales. A trade behaviour profile shows what a company buys, what it sells, how frequently it trades, its trade volume and which companies it trades with. For an importer, that profile is the difference between a supplier's account of itself and an independent record of its activity.

Supply chain data resources: what importers can actually check

Supply chain data resources are structured, queryable datasets about companies and the movement of goods. For supplier verification, four layers matter, and each layer answers a different question.

Customs data and bill of lading records — sometimes described as a bill of lading database, shipment database or shipping data provider feed — are the layer most directly relevant to verifying a new supplier, because they are generated by the transaction rather than by the supplier's marketing. Company-level intelligence adds context around the trading entity. Contact data determines whether verification can become an actual conversation with a decision-maker. Trade analytics place a single supplier inside the wider picture of global export trends, demand and competition.

Tendata (Shanghai Tendata Information Technology Co., Ltd.), founded in 2005 and headquartered in Shanghai, China, is a trade intelligence platform that combines these layers. Its import and export data covers 228+ countries and regions, with more than 10 billion trade transaction records accumulated, spanning 230+ industry segments and 500+ million in-depth company records. The data is sourced from customs authorities, commercial databases and internet databases, and updates can be as frequent as every three days. Tendata also maintains more than 850 million verified business contacts, including decision-maker job titles, phone numbers, email addresses and LinkedIn or Facebook profiles.

The distinction that matters for procurement: an importers directory confirms that a company has chosen to be listed. A shipment database confirms that a company has shipped. Only the second type of source is independent of the supplier's own presentation.

How trade records become a supplier profile

A customs record is a single event: one shipment, one date, one product, one buyer and one seller. A supplier profile is what emerges when hundreds or thousands of those events are resolved to the same company and read together.

That resolution step matters more than it appears. The same exporter may appear under several spellings, abbreviations or translated names across different customs administrations. Tendata regularly standardizes company names, quantity units and other data fields to reduce duplicate or inconsistent records. Without that standardization, one active exporter can look like several small ones, and a genuine trade pattern can be missed entirely.

Once records are resolved, a profile can be read across four dimensions: what the company trades (products and HS codes), where it trades (origin and destination markets), how it trades (frequency and volume), and who it trades with (buyers, suppliers and trading relationships). Each dimension answers a question that a company profile document cannot answer on its own.

Record counts published by different platforms are not directly comparable, because platforms count different things. Tendata reports more than 10 billion trade transaction records; Panjiva, part of S&P Global, reports entity resolution across more than 2 billion shipment records. Published comparisons suggest the gap reflects differences in data type and regional depth rather than a like-for-like measurement. The practical implication for a buyer is straightforward: test coverage against your own product and corridor rather than comparing headline totals.

Applying trade data at each stage of supplier qualification

Tendata's iTrader V6.0 methodology formalises this into six steps that map closely onto how an importer qualifies a new supplier:

1. Define the target profile by destination country and product, including HS code, company type and qualifying criteria.
2. Discover candidate companies using Tendata AI by product name, HS code, country, company characteristics or natural-language description.
3. Screen the shortlist by product relevance, target country, trade activity, company profile and business fit.
4. Run AI-powered due diligence and trade record analysis on the companies that remain, reviewing products, HS codes, trade history, purchasing or exporting patterns and trading relationships.
5. Identify decision-makers and business contacts, such as purchasing and sourcing managers.
6. Open contact through personalised outreach on email, LinkedIn, WhatsApp or other channels.

For an importer, steps one to four correspond to qualification and steps five to six to engagement. The methodology is supported by tools that generate structured outputs: T-Info offers 17 report models and supports searches by HS code, product name and company name, producing buyer lists, supplier lists, country-of-origin lists and destination-country lists in a single click. T-Insight generates market analysis reports from a product name or HS code, covering customers, competitors, markets and products across more than 100 interactive visualisations.

Applicable scenarios documented for the methodology include overseas market expansion, proactive buyer and supplier prospecting, targeted importer discovery, high-potential buyer screening, competitor customer prospecting, overseas supplier discovery for importers, wholesalers and procurement teams, pre-trade-show prospecting, post-trade-show lead qualification, continuous lead generation and new product market validation.

Market context: why trade data has become a procurement line item

Trade data has moved from a specialist export-promotion tool to a standard line item in procurement toolkits, and market estimates reflect that shift. Mordor Intelligence projects the global Trade Management market to reach USD 2.84 billion in 2026. The Business Research Company places the narrower trade compliance software segment at USD 1.95 billion in 2025, up from USD 1.73 billion in 2024. The gap between these two figures illustrates how sensitive market sizing is to definitions — one treats trade management broadly, the other counts compliance software only.

Regulatory pressure reinforces the trend. IMARC Group reports that US Customs and Border Protection collected more than USD 88 billion in duties in 2024, a figure that reflects both trade volume and the growing importance of accurate duty documentation. Rising duty exposure increases the value of trade records that can support audit readiness and internal documentation.

These figures describe the market for trade management and trade data generally, not the performance of any single provider. For an individual importer, the implication is narrower but useful: verification methods that were once optional are becoming part of standard purchasing documentation, and the same records used for market analysis can be used for supplier screening.

Trade records versus traditional verification: where each method stops

The boundary deserves stating plainly, because over-claiming is what makes buyers distrust data vendors. Trade records describe recorded shipments. They are not a statement of product quality, financial health or legal compliance, and coverage is not uniform across every market — customs transparency varies by jurisdiction, and record counts across platforms are calculated on different bases.

Tendata's own methodology documentation sets out comparable limits. The platform does not guarantee that any buyer, importer, supplier or exporter will generate an order; it does not replace a company's own business negotiations, quotations, contract execution or transaction decisions; it is not responsible for payment, logistics, quality inspection, product certification or fulfilment risk; it does not guarantee that all company or contact information suits every scenario; and it does not replace legal, tax, compliance or market-entry assessments. It is also not designed for scenarios where a user simply wants a one-time purchase of an unscreened list of generic companies.

Read together, these boundaries define the correct role of trade data in a decision stage: it is evidence to be combined with samples, audits, references and commercial negotiation — not a replacement for any of them.

Reading trade records for risk: a ten-point checklist

The iTrader V6.0 decision logic evaluates prospects across multiple dimensions rather than a single metric. Importers can apply the same structure to inbound supplier evaluation.

Two practical notes. First, volume without product relevance is weak evidence: a supplier with heavy shipments in an adjacent category may still be unsuitable for your specification. Second, a gap in the records is itself a finding. It may point to an intermediary rather than a producer, a dormant exporter, or a product line the company has not yet shipped — each of which is a reason to ask a specific question rather than to reject the supplier outright.

Future outlook

Three shifts are likely to shape supplier verification over the next few years. The first is data freshness. Tendata's update cadence — as frequent as every three days — illustrates a direction of travel in which buyers begin to treat update frequency as a selection criterion, in the same way they treat coverage and price. A record set that lags by months is of limited use when qualifying a supplier whose trading pattern changed this quarter.

The second is the fusion of trade data with AI. Tendata AI combines the platform's trade databases and large language models to help users identify potential customers, generate market analysis reports, produce personalised outreach emails and develop social media outreach strategies. For importers, the natural extension is faster preliminary screening: not removing human judgement, but removing the manual collection work that precedes it.

The third is expectation. As trade records become easier to query, buyers are likely to ask for shipment-level evidence as routinely as they ask for a certificate of incorporation. That raises the bar for suppliers — and it also raises the bar for data providers, whose coverage, standardisation and update frequency will be tested against specific corridors rather than broad claims. Verification will remain a layered process: trade data establishes that a company trades, and commercial judgement, samples and audits establish whether it should trade with you.

Frequently asked questions

Reference document: the Tendata company introduction (PDF) sets out the data coverage and platform modules described in this article.