Use AI to do the preparation: write a one-page product specification, score a shortlist against criteria, and draft the same request for quotation for every supplier. Then do the verification yourself: confirm the company's registration, see samples before bulk, and make sure the bank account name matches the registered company before any payment.
AI is helpful on the first half and dangerous on the second. A chatbot can invent a plausible supplier, a convincing website address or a registration number that looks right, so every name it gives you is a lead, not a fact. Scams in this field rarely look like scams. They look like a polite supplier with good photos, a price a little below the rest, and a request to send the deposit to a different account this time. Most of this tutorial is the routine that catches that.
Write the specification before you search
Suppliers answer what you ask. A search that begins "I need stainless steel bottles" returns a hundred suppliers and a hundred different products. Start with a specification sheet that any supplier can price from. Ask AI to turn your rough notes into one, and then correct it with the things only you know.
Turn my notes into a one-page product specification for suppliers.
Include: product name; material and grade; dimensions with tolerances;
colours; finish; packaging (inner, outer carton, labelling); required
certifications or tests (list them as "to be confirmed by me" if unsure);
quantity tiers (1,000 / 3,000 / 5,000); target price range per unit;
delivery terms; sample requirements; what I will NOT accept (for example
unmarked recycled material). Do not invent standards or certification
numbers. Where my notes are silent, write "Not specified" and list
questions I should answer before sending this.
Notes: 500 ml double-wall steel bottles, matt powder-coat in 3 colours,
screw lid with silicone seal, my logo laser-engraved, retail in kitchenware stores.
The "not specified" list is the most useful part. In this case the model will probably ask about the steel grade, food-contact testing, lid leak tolerance, powder-coat durability and carton drop test. Each of those is a place a supplier can cut corners if you do not specify it. Answer the ones you can, find out the rest from a trade body or testing lab, and leave nothing to be filled in by the supplier. For the food-contact or safety standards that apply to your product and market, check your regulator or a testing laboratory directly; do not take them from a chatbot.
Where to look for suppliers, and what AI can do with the results
AI is poor at finding suppliers by itself, and good at helping you work through the results from sources you can check. Ask the model for a search plan, then run it yourself.
- Trade fair exhibitor lists. Exhibitors have paid to be there and can be called. Paste a list and ask the model to group by product type.
- Marketplaces. Wide choice and filters, but the quality varies. Look at the programmes the marketplace offers for buyer protection and read the terms for yourself.
- Industry directories and trade associations. Smaller lists, often vetted to some degree.
- Competitors and similar products. Labels sometimes name the manufacturer or importer; a sample bought from a rival may lead back to a factory.
- Sourcing agents and referrals. A person who has visited the factory is worth more than a website. Treat agents with the same checks, because they also vary.
When you have a long list from these sources, ask the model to organise it: "Group these 40 suppliers by what they make, flag any that list products unrelated to mine, and flag any with no contact address or company name." That is sorting, which it does well. It is not vetting.

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Buy nowScore a shortlist on criteria you set in advance
Decide how you will choose before the replies arrive, otherwise the cheapest quote wins by default. A simple weighted scorecard works. Illustrative weights for a branded product:
| Criterion | Weight | How you score it |
|---|---|---|
| Verified as a real business | Pass or fail | Registration and address confirmed (below). A fail removes the supplier. |
| Sample quality against spec | 30 | Measured against each line of the specification |
| Landed cost | 25 | Unit price plus freight, duty and fees, per unit |
| Communication | 15 | Clear answers within two working days, no evasion |
| Lead time and reliability | 15 | Quoted lead time and what happens when late |
| Minimum order and flexibility | 10 | Fits your cash and your sales forecast |
| Certifications and audits | 5 | Documents you can check with the issuer |
The first row is a gate, not a score. A supplier that fails verification should never earn points for a low price. Paste the scorecard into the chatbot when replies arrive and ask it to fill it from the emails, writing "no evidence" where the supplier did not answer. Check each cell against the original email, because a model can read a polite promise as a commitment.
The RFQ: one document, same questions to everyone
A request for quotation turns a loose enquiry into something you can compare. It should include the specification, the quantity tiers, the delivery terms you want quoted, and the questions you need answered. The terms are usually written with Incoterms, a set of shorthand rules published by the International Chamber of Commerce that say who pays for and carries the risk of each stage of transport. For example, FOB (free on board) means the supplier delivers the goods onto the ship at the named port and you take over from there; EXW (ex works) means you collect from the supplier's door. FOB is meant for sea and inland waterway shipments, so ask which rule fits if the goods will travel by air. The edition in force is Incoterms 2020; name the edition in the quote. Ask for quotes on the basis you want, and ask the supplier to state what is and is not included.
Write a request for quotation email to send to 5 suppliers.
Product: attached specification (500 ml steel bottle). Ask for:
1) unit price at 1,000 / 3,000 / 5,000 pieces, quoted FOB;
2) the exact legal company name, registered address and registration
number;
3) minimum order and whether it can be split by colour;
4) sample price, sample lead time and who pays courier;
5) production lead time after sample approval;
6) payment terms offered and the account name for payment;
7) certificates held for food contact and where they were issued;
8) three recent buyers who will answer a short reference question
(or say if not permitted).
Tone: polite, brief, no flattery. Ask for a reply in 5 working days.
Use [first name] and [your name] placeholders. Under 220 words.
The sixth and second questions are the ones that matter for scam prevention, because they get a legal name and a bank account name on the record before you are emotionally invested. A genuine supplier will answer both. A scammer will dodge, give a different name from the one on their website, or tell you to discuss payment later.
Before and after: tightening a weak enquiry
Before: "Hi, I am interested in your bottles, please send price and catalogue. Thanks."
After: "Hello [first name], we are an importer of kitchenware and would like a quotation for the attached specification at 1,000, 3,000 and 5,000 pieces, FOB. Please state your registered company name and number, and the name on the account you would use for payment. We would like two samples before any order and can pay for them. Please reply by [date]."
The second asks for answers that cannot be dodged and shows that you know what you are doing. Experienced suppliers respond more seriously, and the unserious ones drop out.
Verify each supplier before you talk about price
This is the part AI cannot do for you, and the part that stops losses. Work through the following in order, and stop at the first failure. Keep a one-page record for each supplier.
- Registered company. Take the name and number they give you and look it up in the official company registry of the place where they say they are based. Check that the name, address, status (active, not dissolved) and the nature of business match what they told you. A registry search is often free or low-cost. A supplier that is a "trading company" rather than a factory is not a problem on its own, but it should say so.
- Address and premises. Compare the address to a map and satellite image. Ask for a live video tour of the factory floor with a task you choose ("show me the line making my kind of product, and hold up today's date written on paper"). Pre-recorded videos prove nothing.
- Website and email. Check how long the domain has existed, and be wary of one registered recently with claims of a long history. Be sure the email comes from the company's own domain, not a free address, and read it letter by letter for look-alike spellings.
- Photographs and documents. Run a reverse image search on factory and product photos; stolen images show up elsewhere under other names. Ask for certificates and check them with the issuing body, not through a link supplied by the supplier.
- References. Call at least one existing buyer, using contact details you found yourself.
- Samples. Pay for them, ask for production-run samples where you can rather than a hand-picked best, and measure them against the specification line by line.
- Bank name match. The name on the account in the proforma invoice must match the registered company name exactly. A personal account, another company's account or a bank in an unrelated place is a stop.
You can use AI to compare documents. Paste the registry extract, the supplier's invoice and the email signature (with any personal data removed) and ask: "List every difference in company name, address, registration number and bank account name across these three texts." It will catch a transposed digit or a "Ltd" that became "Co" faster than a tired eye does. You still have to look up the registry yourself, because a model cannot query it for you with certainty.
Reading the replies: what the model can and cannot tell you
After a week you will have a pile of replies of mixed quality. Paste them in, with supplier names replaced by A to E, and ask for a table of what each one answered and what it skipped.
Below are five supplier replies to my RFQ (A to E). For each, fill:
Legal name given | Registration number given | Account name given |
Price at 1,000/3,000/5,000 | Sample lead time | Production lead time |
Answered all 8 questions? | Questions skipped | Anything inconsistent with
the supplier's other emails. Write "not given" where missing. Do not
infer or fill gaps. Then list any supplier whose reply used wording that
suggests a trading company rather than a factory.
Illustrative result: supplier C answers six of eight questions, skips the account name and references, and signs with a different company name than the one in the registration number line. That is three reasons to put C at the bottom before any money is discussed. Supplier E gives all eight answers but quotes 30 per cent below the others. That is a reason to ask a pointed question: what material and grade does that price assume? A good supplier explains; a poor one changes the subject. The model's table makes these patterns visible. It cannot say whether a supplier is telling the truth.
The first call, and what to listen for
With two or three suppliers left, schedule a video call each. Prepare a short list of questions with AI, then run the call yourself. Ask the supplier to walk you through the process for your product from raw material to packed carton, to name which steps are done in-house and which are subcontracted, and to show the quality checks and the testing equipment. Ask what they did the last time a batch failed inspection. Specific, unhurried answers with small admissions ("we had a problem with the lid thread last year, and this is what we changed") are more convincing than a polished sales pitch. Afterwards, write your impressions down within an hour and ask the model to turn them into a short note for the supplier file, leaving out anything you did not actually observe.
Red flags that deserve a stop, not a discount
- A price well below every other quote for the same specification.
- Pressure to pay now because the price or stock "expires".
- Reluctance to do a live video call, or a call that keeps failing.
- Different company names on the website, the invoice and the bank account.
- A request to move the conversation to a private chat app before any documents are shared.
- An account in a personal name, or a request to pay by gift cards, cryptocurrency or a money transfer service.
- A late change of bank details, especially "our usual account is being audited".
- No physical address, or an address that turns out to be a residential building or shared office.
- Photos with the wrong product in the wrong setting, or logos from different companies.
- A deposit demanded before any sample has been seen.
None of these proves fraud, and several appear in honest small businesses. Together they should change the next step from "negotiate" to "verify". For the email side of this, training staff to spot AI-written phishing emails and deepfake voice and video scams aimed at businesses cover how convincing fakes can be, which is why you insist on independent contact details.
Comparing the quotes: a landed-cost sum
A quotation is not a cost. Convert each into a landed cost per unit before comparing. Illustrative figures for 3,000 bottles from two shortlisted suppliers:
| Supplier A | Supplier B | |
|---|---|---|
| Unit price FOB | $3.90 | $3.40 |
| Freight and insurance per unit | $0.55 | $0.55 |
| Import duty (say 5% of goods value) | $0.20 | $0.17 |
| Inspection per unit (one pre-shipment check at $360 for the order) | $0.12 | $0.12 |
| Allowance for rejects (1% against 4% from sample variation) | $0.04 | $0.14 |
| Landed cost per unit | $4.81 | $4.38 |
Supplier B looks $0.50 cheaper per unit on the FOB price and $0.43 cheaper landed, on a bigger reject allowance. That is $1,290 less across 3,000 units. But if B also scores lower on sample quality and refuses a video tour, the saving is not worth a gamble on $13,000 or more of stock. The duty rate and reject allowance are yours to set from your customs classification and your sample results; the model should not be asked for them. Comparing supplier quotes side by side with AI goes further on laying quotes out.
Order small, pay in stages, inspect before the balance
A first order is a test of the relationship as well as the product. Keep it small enough that you can survive losing it. Common structures, which you negotiate rather than assume, include paying for samples separately, paying part of the order up front, and paying the rest only after an inspection report shows the goods match your specification. A split such as 30 per cent at order and 70 per cent after inspection and before release is one structure you might propose, not a rule. Use a payment route with some protection where one is available, and keep the contract, the proforma invoice and the specification as the same version of the facts. Inspection firms usually price by the inspector-day (one lists an all-inclusive $268 per man-day on its own service page as of November 2026), so a pre-shipment check on a small order costs a few hundred dollars, which is cheap beside the order itself.
When purchase orders and supplier emails start to pile up, automating purchase orders and supplier emails keeps the records tidy, and matching supplier invoices to purchase orders flags any invoice whose details differ from the order.
A near miss: the changed bank details email
An illustrative case. An importer has paid a supplier twice without trouble. A message arrives, from an address that is one letter off the supplier's domain, saying the usual bank is under review and asking for the next payment to a different account. It carries the same signature and refers to the right purchase order, because the sender had read earlier emails. The importer's rule saved them: any change of bank details is confirmed by phone, using the number on the original contract. The supplier knew nothing about the message.
The lesson is that checks are not just for new suppliers. Put the bank-name match and the phone confirmation into your payment procedure, and have one person other than the buyer approve each payment. For a wider look at fraudulent invoices, see how to catch duplicate invoices and payment fraud with AI.
A one-page supplier file to keep for each order
- Supplier's legal name, registration number, registry link and date checked.
- Address checked on a map, with the video tour date.
- Domain and email checks done, and by whom.
- Certificates seen and confirmed with the issuer (name and date).
- Reference called, and the answers.
- Sample received, measured against the specification, with photos.
- Quote, terms and the RFQ version they responded to.
- Bank account name matched to company name, with the date and who checked.
- Inspection report, payment record and any complaint or return.
AI can draft this template and fill the notes from your emails. Keep the actual checks in your hands. If you would rather build the routine with someone, that is what my AI implementation consultation covers: finding where the repeating work in supplier selection sits and making the safe parts quicker.
Questions importers ask about AI and supplier scams
Can a chatbot give me a list of reliable suppliers?
It can suggest where to look and what to ask, but it cannot vouch for any business, and it may name companies or web addresses that do not exist. Treat every name it returns as a lead to verify, never as a recommendation. The verification steps in this tutorial apply to every supplier, however you found them.
What is an RFQ and why send one?
An RFQ, or request for quotation, is a written request that gives each supplier the same specification and asks for price, minimum order, lead time and terms. Sending the same document to several suppliers makes their answers comparable, and a supplier who answers vaguely or ignores your specification has told you something.
How do I check a supplier's bank details are genuine?
The name on the bank account must match the registered company name on the invoice and the contract. If a supplier asks for payment to a personal account, a different company or a bank in an unrelated place, stop. Confirm any change of bank details by calling a number you found independently, not one in the email.
Should I pay a deposit before getting samples?
Avoid it for a first order. Pay for samples separately and small, check them against your specification, and only then discuss a deposit. When you do, tie later payments to inspection results rather than to promises.
Further reads
- Ecommerce Fraud Detection for Small Stores: A Review Queue With AI — Fraud checks on the selling side, for stores that import.
- AI Supplier Management: Track Prices, Lead Times, and Risk — Track prices, lead times and risk once suppliers are chosen.
- Fashion Production Timeline: Plan Sampling to Delivery With AI — Plan samples to delivery once a clothing supplier is chosen.
- A Simple AI Risk Register for Small Businesses (With Template) — Record supplier risks in a simple register.
- Can AI Fill In Forms and Supplier Portals for You? — What AI can and cannot do with supplier portals and forms.
- AI Hallucinations Explained for Business Owners: Causes and Fixes — Why a chatbot can invent a plausible supplier.
- Supply Chain AI Software: What a Small Importer Needs First — A buying checklist for small importers covering data, lead times, supplier emails and stock sync, with one worked reorder to test any vendor against.
- AI for Coffee Roasters: Batch Logs, Wholesale Orders, Labels — A worked week for a small roastery: a roast log, a wholesale order email and label copy, with the checks that keep weights and allergens right.
- AI for Customs Brokers: Draft Client Updates and Entry Checks — Draft shipment status emails from your file notes and run a consistency pass on invoices and packing lists, with the licensed broker still signing the entry.
- Alibaba Sourcing With AI: Vet Suppliers and Plan a Sample Order — A supplier scorecard, a red-flag check for messages and a sample-order plan, with the document checks left to a person.
- Commercial Invoice vs Packing List: Cross-Check Both With AI — A pre-shipment check where AI compares the commercial invoice and packing list line by line and returns a mismatch report you verify before documents go out.
- Importer Product Compliance Checklist: AI Flags Missing Documents — The supplier documents an importer should hold for CE or UKCA products, with prompts that summarise them and flag what is missing.
- Landed Cost Calculator in Excel: Test Tariff Changes With AI — One worked importer example: build the sheet, then test a duty rise and see the price you need to hold your margin.
- Can ChatGPT Find the Right HS Code? How to Check Before You File — How to use ChatGPT for a first-draft HS code, a ten-product test you can run on your own goods, three worked products and the checks before filing.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: standard international-trade practice (RFQ contents, Incoterms as named by the International Chamber of Commerce, sample approval, staged payment, third-party inspection); the reader's own company-registry and bank checks. No supplier or marketplace is recommended.