Faire Wholesale for Small Brands: Listings and Messages With AI

Give ChatGPT or Claude your product facts, case pack, minimum order and suggested retail price, and ask for a listing written for a shop buyer rather than a shopper. Then use a saved set of reply templates to draft answers to retailer messages. You read and send every message yourself, and you check Faire's terms before automating anything.

The AI saves time on the repeated parts: rewriting forty descriptions, answering the same minimum-order question, nudging a retailer to reorder. It cannot set your prices, promise a delivery date or decide which retailers you want, and those are the places where a quick draft goes wrong.

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What a retailer needs from a listing that a shopper does not

A shopper imagines using the product. A retailer imagines it on a shelf, next to other things, sold to a customer whose taste they know. Their questions are different: will it sell through, what is my margin, what is the minimum, how long until it arrives, how does it display, does it break?

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Look at a few listings in your category on Faire as a buyer would, and note what each one tells a buyer before the description starts: price, suggested retail price, pack size, minimum and lead time. Your job is to fill every field a retailer weighs and to write the description so it answers the unspoken questions. Faire lays out the form and its limits; check the character limits in your brand dashboard when you paste in text.

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Prepare a facts sheet for each product before you open an AI tool. One row per product in a spreadsheet works:

• Name, size, weight, materials, colours, care instructions.
• Cost to make or buy, wholesale price, suggested retail price.
• Case pack (units per case), minimum order for this product.
• Lead time from order to dispatch, and whether it is made to order.
• Shelf life, if a food or cosmetic.
• What makes it easy to sell: giftable, seasonal, packaging that stands up, a story in one line.

The AI should write only from this sheet. If a fact is missing, the right output is a question, not an invention.

The worked example: a small linen homeware brand

An illustration. A two-person brand makes linen tea towels. Its best seller is a 50 by 70 centimetre towel in six colours. It sells for $18 on the brand's own website, costs $4.20 to make, and goes into cases of six. The owner is moving from a few local shops to Faire, which means writing wholesale copy for 14 products and setting prices that work for the retailer and for the brand.

The owner starts with the sums, since the copy only helps if the numbers hold. Set the wholesale price at $9, half of the $18 retail. The cost to make is $4.20, so the gross margin per towel is $4.80, about 53 percent of the wholesale price. A case of six brings $54. Say the opening minimum is $150: with six-towel cases, three cases gives $162, which clears the minimum, so the brand lists "minimum order $150" and the retailer will in practice order three cases.

Then add the marketplace's cut. As of November 2026, Faire's own how-it-works page gives a 15 percent commission on marketplace orders plus a $10 fee on a retailer's first order, and no commission on orders that come through a brand's Faire Direct link. The version of that page for brands based in some other markets lists 25 percent on opening orders and 15 percent on reorders, and both mention a small payment-processing fee that rises if you want paying faster. So run both rates, and confirm yours in your brand dashboard. At 15 percent, commission on a $9 towel is $1.35, leaving $3.45 of margin before packing and postage. At 25 percent it is $2.25, leaving $2.55. If packing and postage you absorb come to $1.10 a towel, the second case leaves $1.45, which is thin. That is the number to know before you promise free shipping.

Run the same sum on a whole opening order. Three cases is 18 towels and $162 wholesale, carrying $86.40 of gross margin. On the 15 percent structure the commission is $24.30 plus the $10 first-order fee, $34.30 in all; take off $19.80 of packing and postage and the brand keeps $32.30. At 25 percent the commission is $40.50 and the brand keeps $26.10. Reorders at 15 percent, and orders through your own Faire Direct link at nothing, are where the margin recovers, which is why the reorder messages later in this tutorial matter more than the first sale.

I sell wholesale on a marketplace. Here are the figures for one
product. Calculate, line by line: wholesale margin per unit, margin
after a marketplace commission of [X]% on the wholesale price, and
margin after $[Y] per unit for packing and postage that I absorb.
Do this for X = 0 (an order through my own Faire Direct link),
15 and 25. Show every multiplication.
Cost to make: $4.20. Wholesale: $9.00. Retail: $18.00.
Case of 6. Postage and packing absorbed: $1.10 per unit.

Check the output with a calculator on one line. A model is usually right on arithmetic like this, and it is the setup that goes wrong, such as using retail in place of wholesale as the base. For a deeper look at tools for this job, see which AI tool suits wholesale pricing.

Turning a consumer description into a retailer description

Take the website's product text and ask for a new version aimed at a buyer. Give the audience, the length and the structure you want. A prompt for the tea towel:

You write wholesale listings for a small homeware brand. Audience:
the owner of an independent gift shop deciding whether to stock this.
Use ONLY the facts below. Do not invent materials, certifications,
awards or sales claims. If a fact is missing, list it under
"Questions for the brand".

Write: a title (under 60 characters), a first sentence that says
who it sells to and why, three short bullets on display and care,
and one line on case pack and lead time. Plain English, no
exclamation marks.

Facts:
[paste the product row]

An illustrative sample of what returns: "Linen tea towel, 50 x 70 cm, six colours. A gift-shelf staple for customers who buy for kitchens and housewarmings. Stone-washed linen softens with use. Folds flat for a basket or table display. Machine washable at 40 degrees. Sold in cases of six; ships within five working days." Read it as the owner. If the facts say "ships within ten working days" and the draft says five, the AI has smoothed a detail. Each time, compare dates, quantities and care instructions line by line against your facts sheet, and ask the AI to list every number it used so you can do that check quickly.

Notice what the sample leaves out: any claim that the towel "sells fast" or "is a best seller in shops". Unless you have your own numbers, the draft must not say so, and your prompt should forbid it. A buyer who repeats an invented claim to a customer, then finds it untrue, stops trusting the rest of your listing.

Varying the copy across a range without sounding repeated

Fourteen products described by the same prompt can start to sound the same, and buyers who scroll a brand's page notice. Keep a small style note in your project: the brand's tone, three phrases to use and three to avoid, and a rule that no two descriptions start with the same word. Ask the AI to read the whole batch back and flag repeated openers. Then rewrite two or three by hand, particularly the best seller and the newest product, where your own voice does the most work.

If you also sell on your own site and on another marketplace, keep one master facts sheet and three prompts, one per audience. The consumer version belongs to your store's product descriptions, the wholesale version to this tutorial. A shared place for the prompts, such as a shared prompt library, stops each version drifting.

Minimums, case packs and prices: decisions the AI cannot make

You decide the numbers; the AI can test them. Three questions help.

1. Does the first order cover its own cost? Add picking and packing time, packaging, postage you absorb and the commission. If the minimum order earns under about $25 of margin, you are doing a favour, not a trade.
2. Is the minimum low enough for a small shop to try you? A $150 opening order is a big step for a one-person shop. A lower minimum for a first order with a higher reorder minimum is a common approach; tiered minimum order quantities goes into the trade-offs.
3. Does the case pack fit how shops buy? Six towels in one colour is a lot for a tiny shop. Offer mixed-colour cases if your production allows it.

Ask the AI to model two or three variants as a small table: minimum, case pack, first-order margin, retailer's margin at your suggested retail price. Then choose. Never let a model pick for you on the grounds that "it recommended it"; it has no view of your cash flow or your capacity in a busy season.

Writing the brand profile and a first-order note

Retailers who browse a marketplace by category often open the brand page before the product page. A short brand story that answers "who makes this, how, and why should my customers care" is worth an hour of care. Give the AI five true facts and ask for two versions of about 90 words: one in your own voice, one more formal for buyers who prefer it. Pick the one that sounds like you, then change a sentence by hand. A story that reads as generated is worse than a plain one.

An illustrative set of facts for the linen brand: made in a two-person studio; linen from a named mill (fill in only if true); each towel washed before packing; six colours that change each spring; orders packed within five working days. A good draft keeps to these and adds nothing, such as a founding year, an award or a claim about sustainability that you cannot document. Environmental claims in particular need evidence; leave them out unless you have it.

Prepare a first-order note too: two sentences that go in the parcel or the message after dispatch. "Thank you for choosing us. The towels are packed flat; they look best folded in thirds in a basket. Message me if anything arrives wrong." The AI can offer ten variants in a minute, and you choose one. A small, human first-order note does more for reorders than another paragraph of listing copy.

A filled-in facts row for one product

Here is how one row of the facts sheet looks when it is ready to paste, with illustrative values:

Name: Stone-washed linen tea towel
Size: 50 x 70 cm | Weight: 90 g | Colours: oat, sage, clay, ink, rust, white
Materials: 100% linen | Care: machine wash 40 degrees, line dry
Cost to make: $4.20 | Wholesale: $9.00 | Suggested retail: $18.00
Case pack: 6 (single colour) | Minimum for this product: 1 case
Lead time: ships within 5 working days | Made to order: no
Selling angle: gift for kitchens and housewarmings; folds flat for display
Approved claims: "100% linen". Nothing else.

Notice the last line. The AI is told which claims it may use and nothing else, which solves most accuracy problems before they start. Ten minutes per product, once, saves repeated edits later and gives you data to reuse for catalogues, line sheets and trade-show forms.

Drafting replies to retailer messages

Faire has a Messages tab where retailers write to brands, and retailers use it for questions before and after ordering. Most messages fall into a dozen types, which is why a template library works. Build one for each, and let the AI adapt the template to the specific message.

Keep the library in a project (ChatGPT Projects and Claude Projects both work; OpenAI has scheduled custom GPTs to retire on 11 December 2026) and put your policies in the project files: minimums, shipping rules, returns, sample policy, closing dates. The AI then answers from your policy text, not from habit.

A reply, drafted and then fixed

An illustrative incoming message: "Hi, love the tea towels. We are a tiny shop with one till. Is there any chance of a lower minimum for a first order? Also, are the colours the same in person as in the photos?" The prompt:

Draft a reply from [brand] to this retailer message. Use the policy
below only. Warm, short, under 90 words, no exclamation marks, sign
off with [your name]. If the policy does not answer something, say
we will check and come back, and list it for me separately.

Policy: opening minimum $150. First orders under the minimum are
not accepted. Reorder minimum $100. Photos are taken in daylight;
colours may vary slightly between dye batches.

Message: [paste]

An illustrative draft: "Hello [first name], thank you, and welcome. Our opening minimum is $150, which is three cases of six, and it drops to $100 for reorders. I'm sorry I can't go lower on a first order. The colours match the photos closely; they are shot in daylight, and dye batches can vary a touch. If it helps, I can suggest a mixed set of three colours to start. [your name]." Now fix it. The draft invents "I can suggest a mixed set", which the brand can only offer if mixed cases are real. Cut the sentence or confirm it first. The rest follows the policy, and the AI listed nothing separately because the policy covered both questions.

Automation, Faire's terms and keeping the human in the loop

Whether you may auto-send replies, use bots on a marketplace messaging channel, or take a conversation off the platform depends on the marketplace's own rules. Faire's help centre carries a separate terms of service for brands, and terms change, so read the current sections on messaging, automated tools and dealing with retailers outside Faire before you build anything; this tutorial does not summarise them. If a rule is unclear, ask Faire's support in writing and keep the answer.

My suggestion regardless of the rules: draft with AI, then read and send each message yourself. A retailer message is a small piece of business. A wrong promise about price, stock or a delivery date is a dispute waiting, and a message sent in the wrong tone to a good buyer is hard to recall. The time saved by drafting is already most of the saving; the extra minute to read it is cheap insurance. Never paste a retailer's contact details, an order's full address or payment information into a chat tool, as the draft does not need them.

Faire Direct, the link you send to retailers you bring to the platform yourself, is "completely commission-free" on Faire's own page. Faire also offers eligible retailers payment terms of up to 60 days, which a small shop may value more than a discount. If you have an existing shop customer, inviting them through that link instead of sending an off-platform invoice is worth weighing. For how it compares with another wholesale marketplace, Faire against Ankorstore for a small brand sets out the differences.

A made-up claim that nearly went live

An illustration of why the facts sheet rule matters. A brand asked an assistant to write listings for a hot sauce range, and the draft said "small batch, no preservatives". The recipe relies on vinegar and salt, which themselves act as preservatives, and the brand had never claimed "no preservatives" on its label. A retailer who repeated the claim to customers would have created a labelling problem for the brand. The owner caught it because the facts sheet had no such line and the prompt required a list of every claim in the draft. The fix was to cut the claim and add "Claims" as a column in the sheet, so only approved wording appears.

For food, cosmetics, children's products and anything with a safety or labelling rule, treat every claim in generated copy as unproven until you match it to the label or a test. That applies to country-of-origin and "handmade" statements too.

Following up with retailers without nagging

The profitable messages are the reorders. A small shop that sold out of a product will often reorder if reminded at the right moment. Set a simple rhythm: a thank-you at first order, a short check-in about three weeks after delivery asking how the product is selling, and a seasonal note before the main buying period for your category. Ask the AI to write each from the same template, adding one specific line per retailer from your notes, such as "you chose the three neutral colours".

Keep a small sheet: retailer, first order date, products bought, last message date, next planned message. Never message the same retailer twice in a week without a reason. A good test: would you send this if you had to write it by hand? If the answer is no, the message does not need to exist.

Checking whether the listings and replies are working

Look at four things every month. First, if your dashboard reports them, how many retailers viewed or favourited your products against how many ordered. Second, which products draw questions in messages; a question repeated three times means the listing leaves a gap. Add the answer to the description. Third, how fast you reply; a same-day answer matters to a buyer comparing brands. Fourth, your reorder rate by retailer. Test one change at a time, such as a new first line or a lower first-order minimum, and leave it long enough to see an effect. If you want help building the facts sheet and the reply library around your range, a 1:1 call is one way to do it.

Questions from brands new to Faire

Should my Faire listing copy match my website?

No. A shopper wants to know how a product feels; a retailer wants to know whether it will sell on their shelf. Keep the facts identical, but rewrite for the buyer: case pack, minimums, lead time, suggested retail price, margin, materials and what makes it easy to display.

Can I let AI answer retailer messages automatically?

I would not start there. Faire's brand terms of service and help centre decide what automation is allowed, and they change, so read the current version first. Draft with AI, read every reply, and send it yourself. A wrong promise about price or delivery costs more than the minutes saved.

How do I set a wholesale price from my retail price?

A common rule of thumb is wholesale at about half of retail, so the retailer can double it. Check that the wholesale price still covers your cost, packing, shipping you absorb and the marketplace commission, and keep enough margin to cope with discounts. If it does not, the retail price is too low.

What minimum order should a small brand set?

Set the minimum so that a first order covers your picking, packing and postage with margin to spare, and so that it is low enough for a small shop to try you. One simple starting point is a minimum equal to two or three case packs. Test it for a few weeks and adjust.

Further reads

• How to Use AI for Etsy Titles, Tags and Descriptions — Adapt listing copy for another marketplace.
• B2B Email Automation Services: Agency, Tool or DIY With AI? — Decide how to automate B2B follow-up emails.
• How to Use AI in a Bakery Business: Wholesale and Standing Orders — See how another small maker handles standing wholesale orders.
• AI for Coffee Roasters: Batch Logs, Wholesale Orders, Labels — Handle batch logs and wholesale orders as a small roaster.
• Taking a Local Shop Online With AI: Product Listings in a Weekend — Take product listings online in a weekend.
• Best AI Tools for B2B Marketing at a Small Manufacturer or Distributor — Pick AI tools for B2B marketing as a maker.
• EDI for Small Business: Do You Need It to Sell to Big Retailers? — A decision rule for retailer-mandated EDI, web portals and service providers, and the jobs AI can do around it without replacing it.
• Line Sheet Template: Turn a Product Export Into a Wholesale PDF With AI — Export your products, let AI add wholesale prices, MOQs and case packs in a sheet, then check the maths and produce a PDF buyers trust.
• AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.

Sources: Faire's how-it-works pages in two regional versions (checked 5 November 2026), Faire's help centre on the Messages tab and order issue reports (archived copy, October 2026) and OpenAI's custom GPT retirement FAQ; all prices, margins and message wording in the examples are illustrative, and the reader should check Faire's current fee and terms pages.