A small builders merchant needs trade-counter software that holds stock, trade accounts, price books, quotes and delivery notes in one place, handles units such as lengths and tonnes, and posts to accounts. AI adds value at the edges: reading emailed materials lists into quote lines, drafting statement reminders and answering stock questions from the data.
Do not expect AI to replace the system underneath. Quotes and statements are arithmetic and records, and a chat assistant is unreliable at both. The sensible split is to buy the record-keeping and use an assistant for the reading, writing and checking around it.
What the software has to do on a trade counter
Generic retail tills struggle in a yard. One vendor's guide notes that generic systems often cope poorly with selling timber by the length, trade pricing and credit accounts. Before looking at products, list the jobs your counter does in a day.
- Sell in the unit the customer thinks in. Cement by the bag, sand by the tonne, blocks per hundred, timber by length or by the metre.
- Price by customer. A price book with account prices, discount bands and job-specific agreements.
- Quote, then convert. A quote that becomes an order and an invoice without re-keying.
- Run credit accounts. Limits, statements, payment allocation and chasing.
- Know the stock. What is in the yard, what is on order, and what is allocated to a job.
- Deliver. Delivery notes, vehicle loads and proof of delivery.
- Post to accounts. Sales, purchases and payments reconcile with your accounting package.
Use the list as a scoring sheet: mark each item must-have, nice-to-have or irrelevant, and ask every vendor to demonstrate the must-haves on your own examples, not a demonstration script.
What the vendors' own pages say
I read the builders' merchant pages of five suppliers of this software. Their pages describe features but, in every case, publish no prices (each asks you to book a demo or request a quote), so treat the table as a starting list of questions.
| Vendor | What its page says | What it leaves out |
|---|---|---|
| CSY | EPOS for timber and builders' merchants: live stock levels, orders, deliveries and sales reports; sell-by-the-length pricing that tracks what is left; customer credit accounts that email statements and invoices automatically; integrated ecommerce | Prices; how it handles tonnes, bags and lengths in one quote; which accounts packages it posts to |
| AlphaLogix | Trade counter software that integrates with Sage 200 and Sage 50: quotes converting to sales, trade-account and cash customers with credit limits and terms shown at the till, customer-specific price lists and a price book with discount options, delivery notes and barcode scanning | Prices, units of measure; it suits a yard already on Sage |
| Klipboard (the trading name of Kerridge Commercial Systems) | Converts between metres, feet, cubic metres and lengths; over- and under-supply tolerances; timber tally; estimating for quotes; Klipboard AI inside its ERP workflows to find information faster; two ERP platforms, one for growing businesses and one for multi-branch merchants | Prices; detail on statements and ePOS |
| ECI (Spruce) | ERP for builders' merchants that can be adapted to different units of measure; quotes, orders, purchase orders and invoices in one system; quotes, statements and invoices shared with customers digitally; real-time invoicing at the counter | Prices; what its AI offer covers for merchants |
| Merchanter (Ten-25) | Cloud-based ERP for builders', timber and trade merchants covering sales, purchasing, stock and operations, with milling and processing, and ecommerce and finance integrations | Prices; detail on quotes and statements |
This is a list to put in front of vendors, not a ranking. The most telling question is "show me a quote that mixes bags, tonnes and lengths, converts units, applies this customer's account price and posts to our accounts". A vendor who can do that live is worth a second meeting.
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There are four places, and each leaves the record-keeping to the system.
- Reading emailed materials lists into quote lines. Customers still email lists: "20 bags of cement and some sand". An assistant can turn the message into a structured list your counter staff then enter or import.
- Drafting statement reminders. From an aged-debt report, it drafts polite reminders at 30, 60 and 90 days.
- Answering staff questions from data. "Which suppliers deliver on Fridays?" from a pasted supplier list.
- Reading supplier price lists. Turning a supplier PDF into a clean table before it is loaded.
The same pattern appears in reading emailed orders into a wholesaler's system, which goes deeper on the input side.
The main example: an emailed materials list becomes a quote
Take a small independent merchant (illustrative figures). A trade customer with an account emails at ten to five:
Hi, need for Thursday please: 20 bags cement, 2 tonne sharp sand,
100 7N blocks, and 12 lengths of 47x100 C16 at 4.8m. Delivery to site as usual. Thanks, [first name]
The counter assistant is given a structured prompt:
Turn this customer email into quote lines. Columns: item as written, interpreted product,
quantity, unit, assumptions, questions. Do not price anything.
Flag any ambiguity (for example bag size, sand type, block size, timber grade or treatment).
Email: [paste]
An illustrative result lists four lines and a set of questions: "cement: bag size not stated (assumed 25 kg)", "sharp sand: loose, bulk bag or bagged?", "blocks: 7N, but size not stated (assumed 440 x 215 x 100 mm)", "timber: treated or untreated; 12 lengths of 4.8 m is 57.6 m". The questions are the value. They are what a good counter person would ask, and they are raised before a wrong quote goes out.
The member of staff then answers the questions with a quick call or reply, and the lines go into the merchant system, which applies the account price book. Here is how the figures might come out:
| Line | Quantity | Unit price | Line total |
|---|---|---|---|
| Cement, 25 kg bag | 20 | $6.80 | $136.00 |
| Sharp sand, bulk (per tonne) | 2 | $48.00 | $96.00 |
| Concrete block 7N | 100 | $1.95 | $195.00 |
| Timber 47x100 C16, per metre | 57.6 m | $2.10 | $120.96 |
| Subtotal | $547.96 | ||
| Account discount 8% | -$43.84 | ||
| Delivery | $35.00 | ||
| Quote total | $539.12 |
Check it: 12 lengths x 4.8 m = 57.6 m, and 57.6 x $2.10 = $120.96. The subtotal is 136.00 + 96.00 + 195.00 + 120.96 = $547.96; 8% of that is $43.84 (rounded), leaving $504.12, and adding $35.00 delivery gives $539.12. Notice that the software, not the assistant, should produce this table. If you ask a chat assistant to price it, you will occasionally get a slip in the totals, and the customer will find it.
Statements and chasing: a prompt with a sample result
Credit control is where small merchants lose cash quietly. The software produces the aged-debt report; the assistant writes the first reminder in a tone that keeps the customer. A prompt:
Write a short reminder email. Customer: [first name], trade account.
Invoices 30 days overdue: INV-2210 $612.40, INV-2241 $188.00. Statement attached.
Ask them to confirm payment date or tell us if there is a query.
Friendly, firm, under 90 words. Sign off as [your name]. Do not mention stopping supplies.
The illustrative result is a three-sentence note listing both invoices and the total of $800.40 (check: 612.40 + 188.00), with a request for a date. What you fix: if the assistant adds a late-payment fee or threatens a credit hold, delete it, since those belong in your terms and your decision. For the credit-control side in depth, see credit control software for small distributors.
A supplier price file, cleaned before it is loaded
Merchants receive price updates as PDFs and spreadsheets in a different layout from every supplier. Loading them by hand is slow, and mistakes here flow into every quote. An assistant is good at the tidy-up, provided the loading and the checking stay with a person.
Say a supplier's list arrives with rows such as "Cement 25kg bag, 56 per pallet, 6.95 trade" and "Treated C16 47 x 100 per m 2.35". The prompt: "Turn this into a table with columns SKU, description, unit, pack size, new cost. Keep every value exactly as written. Flag any row where the unit is unclear or the old and new cost differ by more than 8%." An illustrative result handles most rows and flags three: a cost that jumped 14%, a row with no unit, and a duplicate SKU. Those flags are the reason to use it. Before this goes into the system, compare the old and new cost columns in a sheet, and have a person approve every flagged row.
The effect on margin is easy to estimate. If cement rises from $6.50 to $6.95, that is 45 cents a bag, and at 400 bags a month about $180 of cost you must either pass on or absorb. The price-book update is where the decision is made, which is why it belongs in the software and with a manager. The tutorial on choosing an AI tool for pricing wholesale goods covers margin rules by SKU count.
Quotes that go quiet
A merchant issues many quotes that never turn into orders, and nobody chases them. The software holds the quote date and value; the assistant drafts a short follow-up from a list. Take ten quotes over $300, more than five days old, with no order. A prompt such as "write a two-sentence follow-up asking if they would like to proceed or adjust quantities; mention the quote number and total; use [first name]" produces ten short messages in a minute. A person sends them, ideally with a phone call for the biggest two.
A realistic mistake: the assistant writes "as discussed" when no conversation took place, or repeats an expired price. Make the expiry date a field in the prompt, and delete any line that implies something not in the quote.
Stock questions from the yard and the road
Drivers and counter staff ask the same questions repeatedly: is it in, which depot, when is the next delivery. If your software has a stock query screen, use it. Where it does not, a small assistant workflow works on a daily stock export. Staff paste the question and the day's file, and the assistant answers only from the file, saying "not in the file" when it cannot find it. That restriction matters, because an assistant that guesses a stock level is worse than none. The pattern is set out in AI agents for distributors: answer stock and delivery queries safely.
A filled-in rule sheet for the assistant
- Answer only from the stock file pasted in this chat; if the product is not there, say so.
- Give quantity on hand, quantity allocated and available. Never round up.
- Do not quote prices or delivery dates; tell the user to check the system.
- If two products match, list both and ask which.
- Remind the user the file is from [time], and stock may have moved since.
Five lines like these turn a general assistant into a safer helper. They also show the limit of the approach: it is a reading aid for a morning file, not a replacement for live stock.
Privacy and records in a yard
Quotes contain customer names, site addresses and prices; statements contain what customers owe. Treat them as confidential. Before pasting anything into an assistant, remove names and account numbers where you can, use a business plan whose terms say content is not used for training by default, and keep the assistant's output as a draft, not a record. If your customers include individuals as well as companies, personal data rules apply to their details, and a qualified adviser can confirm what you need in your terms and privacy notice. Records of what was quoted and agreed live in the merchant software, not in a chat history.
Delivery notes and "where is my order" calls
Deliveries generate a steady stream of calls: when is it coming, which day, which time. The system of record knows the run sheet. An assistant can turn a day's run into a short customer message per drop, such as "Your delivery of 100 blocks and 20 bags of cement is on the van leaving at 7.30 and should reach site between 9 and 11; please make sure someone can accept it". Keep the time windows as fields from the run sheet, not guesses. A wrong promise here costs more than the minute saved, so a dispatcher reads the batch before it goes out.
A sensible test is a single morning: generate messages for one run of eight drops, check each against the sheet, and note how many needed a change. If more than one in eight did, tighten the prompt or leave the task to the software's own notifications.
Buy, or use a ChatGPT workflow?
A small merchant sometimes asks whether a general assistant and a spreadsheet could do the job instead of software. For a few jobs, yes. For the core, no.
| Job | Software of record | Assistant workflow |
|---|---|---|
| Stock levels and allocation | Yes, essential | No: a chat cannot hold live stock |
| Trade price books and account prices | Yes | Only to audit an export |
| Quote arithmetic and conversion to order | Yes | No for totals; yes for reading the emailed list |
| Statements and allocation of payments | Yes (with accounts integration) | Drafting reminders only |
| Reading supplier PDFs and emails | Rarely | Yes |
| Answering a staff question from a pasted file | Sometimes | Yes |
An assistant costs about $20 a month (ChatGPT Plus is $20; Claude Pro is $20, or $17 a month on annual billing), against a software quote that depends on users, sites and modules. The comparison is not like for like, since one holds your records and the other helps you read and write. If your yard is tiny and your paperwork is a ledger and a till, it may still be worth moving to proper trade-counter software first and adding the assistant afterwards.
A small yard, step by step
Here is an illustrative path for a yard with four staff and about 120 account customers.
- Month 1. Write the job list above and score it. Gather examples: five typical quotes, one aged-debt report, a supplier price file.
- Month 2. Ask three vendors to demonstrate those five quotes. Request written prices including set-up, data migration, training and support, and the renewal terms.
- Month 3. Pick one and plan the data move: customers, price books, stock and open balances. Decide the cut-over date outside the busy season.
- After go-live. Add the assistant for emailed lists and reminders, with a checklist, and a person who reads every outgoing message.
Data migration is where small yards underestimate effort. Customers with duplicate accounts, products with three different unit codes and open balances that do not match the accounts ledger all surface at once. Budget time to clean the data before the move.
A music-shop analogy that shows the data problem
Consider a different trade to see the point: a musical instrument seller (illustrative) with hundreds of accessories that exist under several names. A customer asks for "a 3 m jack lead" and the system lists "cable 3000 mm 6.35 mm TS" and "lead 3m jack". Without one clean product name, neither software nor AI can find it reliably. In a yard it happens with "47x100", "4x2", "2x4" and "C16 CLS". A product-naming standard, fixed before migration, makes every later tool work better, and an assistant can help produce a cleaned name list from your export for a person to approve.
Questions to ask every vendor
- Show a quote mixing three units, converting between them, with an account price and a delivery charge.
- How are timber lengths, offcuts and tallies handled in stock?
- Which accounts packages do you post to, and who owns a reconciliation error?
- Can customers see their statements and invoices online?
- What does the AI feature (if any) do, which data does it read, and can I switch it off?
- Where is the data stored, who are your sub-processors, and how do I export my data if I leave?
- What is the full price in year one and year three, including support and per-user fees?
Treat any vendor AI feature the way you would treat a new member of staff: ask what it does, test it on real examples and check its work. If you want the same thinking applied to order entry, see AI order entry for distributors: buy or build.
Measuring whether the yard runs better
- Time ten emailed lists from arrival to a sent quote, before and after.
- Count quotes that needed correction after sending; the target is close to none.
- Track days sales outstanding on trade accounts for three months.
- Compare stock counts for ten products against the system each month.
- Ask counter staff which tasks still feel slow, and fix those next.
If you would like to talk through which parts of your yard need software and which need a better routine, that is what my AI implementation consultation covers, at the contact page.
Questions from small merchants choosing software
Can ChatGPT replace builders merchant software?
No. It does not hold your stock, trade accounts or price books, and it cannot reliably do arithmetic across a quote. It is useful at the edges: reading an emailed materials list, drafting statement reminders and answering staff questions from a supplier price file. Keep the system of record in proper software.
What units of measure should the software handle?
Merchants sell timber by length and tally, sand by the tonne or bag, bricks by the thousand, plasterboard by the sheet and area. Ask any vendor to demonstrate a quote that converts between units, for example metres to lengths, and shows the rounding rules, before you sign.
Do I need integrated accounts?
If you run trade credit accounts, yes in practice. Invoices, statements and payments must reconcile with your accounts package. Ask whether the stock system posts to your existing accounting software or replaces it, and who fixes a mismatch.
How much does merchant software cost?
Most vendors in this market do not publish prices, and sell by quote based on users, sites and modules. Ask for a written price covering set-up, data migration, training, support and per-user fees, plus what happens to the price at renewal.
Is it safe to paste customer quotes into an AI chat?
Strip names, addresses and account numbers first, or use a business plan whose terms say your content is not used for training by default. Quotes reveal your prices and a customer's project, so treat them as confidential business records.
Further reads
- Quote to Cash: Connect Quotes, Invoices and Payments With AI — Connecting quotes, invoices and payments.
- Hardware Store Marketing Ideas: Trade Accounts and DIY Weekends With AI — Write a trade-account pitch, plan DIY demo weekends with project sheets, and time seasonal stock posts from last year's sales, using AI you check yourself.
- Paint Store Marketing: Colour Advice Posts and Trade Offers With AI — Colour-advice posts built from your own chart, a coverage sum, honest wording on photo matching and a trade-account email with the margin maths shown.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: builders' merchant product pages and guides from CSY, AlphaLogix, Klipboard (Kerridge Commercial Systems), ECI (Spruce) and Merchanter (Ten-25), and the ChatGPT and Claude pricing pages, read in November 2026; none of the merchant-software pages published prices. Quote figures are illustrative.