Pricing decisions,
made with confidence.
Find where your product sits across the Australian market — furniture, fashion, beauty, anywhere visual — and turn the answer into a defensible price. In ninety seconds.
The work nobody wants on a Tuesday afternoon.
You spend hours pulling up competitor sites. You copy prices into spreadsheets. You second‑guess whether the products you're matching are actually comparable — is that really the same dress, the same lamp, the same lipstick? The tools that exist match on keywords and lie about confidence. The reports either take a week or arrive without conviction.
Image in. Recommendation out. Ninety seconds.
No SKU spreadsheets, no integrations to set up, no analyst on retainer. ProductMatch starts with what you already have — a product photo — and ends where the buying decision actually lives.
Upload your product image.
Drop in a SKU you're sourcing or repricing. Hero shot, lifestyle, supplier deck — whatever you have. No barcode required.
AI visual matching, across the AU market.
Lens search plus visual similarity scoring against Temple & Webster, Freedom, Amart, Bunnings, West Elm, Castlery — and forty‑plus more. Live prices, not last month's cache.
Buyer‑grade recommendation.
Floor, sweet‑spot, ceiling — with the reasoning behind each number. Ask follow‑up questions in chat. Bring the answer to Thursday.
One page. The whole argument.
A pricing recommendation isn't a number — it's a number you can defend. Every report comes with the matched products, similarity scores, and the reasoning. So when your CEO asks “why $2,199?”, you don't blink.
“We'd price this at $2,199 — directly between Freedom's $2,499 Hampton and Amart's $1,899 Bayswater. Both are visually within 6% of your product; T&W carries a similar profile at $2,299 but ships slower. The sweet spot is narrow, but it's real.”
where four of five comparable products sit
You probably know already.
ProductMatch was built for a specific kind of retailer. If you see yourself below, you'll get value in the first week. If you don't, we'll be honest — it's probably not the right fit.
Buyers and merchandisers at small‑to‑mid retailers.
250–5,000 SKUs, weekly or fortnightly pricing reviews, and a calendar that already has too much in it. You make the call; ProductMatch gives you the receipts.
Founders and GMs without an in‑house BI team.
You hire one analyst, they do everything but pricing. You hire two, they still don't do pricing. This is the work that quietly never gets the headcount it deserves.
Retailers competing with Temple & Webster, Freedom, Amart, West Elm.
The big AU players reprice in real time. If you don't know exactly where you sit against them on every category, you're guessing — usually low.
Anyone whose pricing decisions cost more than the tool.
If a 5% margin shift on one category pays for the year, you're our buyer. If you're pricing yarn or screws at $4.99, you're not — and we'll happily tell you that.
We're built for visual products.
ProductMatch works best when the picture matters as much as the price. If your customers buy with their eyes, you're in the right place. Three categories where we know we land — and where we'll honestly tell you if we don't.
Homewares & furniture.
Sofas, lighting, dining, decor, bedding. Where similarity is silhouette plus material plus finish — and where the hero shot is the product.
Fashion & beauty.
Apparel, footwear, accessories, fragrance, skincare. Where similarity is shape, packaging, and brand semiotics.Variant matching (size, colour) is on the roadmap — works on hero SKUs today.
General retail.
Appliances, electronics, sporting goods, kids, pets. Anywhere a buyer competes on visually‑distinct SKUs sold online.
If your products don't have a picture worth comparing — commodity goods, B2B parts, services — ProductMatch probably isn't for you. We'd rather you know that now than three weeks in.
The honest answers.
Things people actually ask in the demo, with the same answers we give there. If yours isn't here, email Vasko directly — there's a link below.
How is this different from just checking Google or the competitor sites manually?+
Speed and rigour. A diligent manual check on one SKU is thirty to forty minutes — open tabs, paste prices, eyeball whether the products are really comparable. ProductMatch does it in ninety seconds, scores similarity numerically, and gives you the reasoning. The point isn't to replace your judgement — it's to stop spending Tuesday afternoon on it.
What if the AI matches the wrong product?+
It happens — visual matching isn't perfect. You'll see a similarity score (0–100) for every match, and you can flag any one as “wrong match” with a single click. That correction sticks for your team and we learn from it across your scans. The recommendation always shows you the matches it weighed, so you can sanity‑check before pricing.
Can I really trust a visual similarity score?+
For visually distinctive categories — furniture, homewares, fashion, lighting — yes, very. We use multi‑model visual reasoning (not just embeddings) and have validated against thousands of manually‑matched pairs. For nearly‑identical commodity goods, the score is less differentiating; we tell you that too.
How current are the prices you find?+
Live at scan time. Every scan re‑fetches the competitor pages — no caches more than 24 hours old. If a price has a strike‑through promotional treatment, we capture both the headline and the sale price.
One caveat by design: ProductMatch is a 24‑hour‑cycle decision tool, not a live monitor. A retailer who changes their price an hour after you scan won't show up in your report until you re‑run. For continuous price tracking, watch the roadmap — that's a different product at a different tier.
What happens to my product data?+
Your uploads stay in your workspace. We don't train shared models on customer data, we don't share scans across accounts, and on the Pro plan your data is logically isolated. Full details in the privacy page.
Can my team share an account?+
Growth includes three seats, Pro is unlimited. Everyone gets their own login and their own scan history. Reports are shareable across the workspace.
What if I don't use my plan's credits one month?+
Unused credits roll over for one month. They don't accumulate forever — but you won't lose a month's worth because you took a holiday.
How does this stack up against Prisync, Competera or Wiser?+
Those tools are excellent for barcoded, SKU‑identified categories — grocery, electronics, FMCG. ProductMatch is built for the categories they struggle with: furniture, homewares, fashion, anything where SKU codes diverge and you have to match on what the product looks like. We're complementary more than competitive.
What if I need more scans than my plan?+
Top up with a credit pack — A$59 for 100 extra scans, A$229 for 500. They don't expire. Or upgrade tiers anytime; we pro‑rate the difference.
Is there a contract?+
No. Monthly billing, cancel from the Stripe portal in two clicks. Annual plans are coming once we have enough customers to discount honestly.
Do you support New Zealand / UK / US retailers?+
Australia first. NZ is next on the roadmap — likely Q3 this year. UK and US are on the list but not committed dates. Honest answer: we'd rather be great at one market than mediocre at four.
What's live. What's next.
ProductMatch ships often. Here's what works today, what we're building right now, and what's further out. No dates — we don't promise quarters we can't keep — but everything in “Coming soon” is actively in development.
Today.
Single‑product runs with visual similarity scoring. Bulk runs from folders or CSV. Week‑over‑week price tracking. Outlier detection and trust hardening. Human‑in‑the‑loop material disambiguation. Category roll‑ups and market position. Public sample reports. CSV export.
Coming soon.
- Scheduled weekly scans — set it and forget it
- Margin intelligence — connect your landed cost, see margin alongside competitor pricing
- Marketplace coverage — starting with Temple & Webster
- Variant matching across product families (size, colour, configuration)
On the roadmap.
- More marketplace coverage — eBay, Myer, David Jones
- Slack and email alerts on price moves
- Auto‑pricing recommendations to Shopify (with approval queue)
- API access for advanced customers
- Reverse gap analysis — what competitors stock that you don't
- Deeper BI dashboards for category and trend intelligence
If something you need isn't on the list, tell us. Half of what's here came from buyers asking, “why doesn't this thing do X?” We're listening.
Built by Vasko Ckorovski.
Fractional CTO. Spent years watching the same pricing‑intelligence gap show up across retail businesses — some with BI teams running it as a standing function, others making the same calls on gut feel.
I've watched buyers do this manually across a lot of businesses. The bigger ones usually have a BI team running competitive pricing as a standing function — proper reporting, weekly cadence, the works. At startups and mid‑tier retailers, the same decisions get made on gut feel. Not because the people are worse, but because the analyst headcount isn't there and the tech team is heads‑down on something else.
Most of my consulting work is making retailers more operationally efficient, and this gap surfaced across every engagement — real pricing calls with real margin consequences, no infrastructure to back them up. ProductMatch is the tool I wished existed when I was watching smart people guess when they shouldn't have to.