Turn messy supplier datainto publish-ready product catalogues
Send the spreadsheet exactly as your supplier shipped it. A SKU or barcode per row is enough. RefynData finds every product online, fills the gaps, tidies the formats, and hands back a catalogue ready to import into your store.
What changes in your product data
The same product before and after, so you can see exactly what improves.
SKU NX-4821-W
SKU NX-4821-W
Every value carries a link to where it was found
A list of SKUs is enough to start
Plenty of suppliers send nothing but a code. RefynData matches each SKU to the real product, then goes and finds the values a shopper actually filters on: name, brand, sizes, capacity, energy, finish. Every one is recorded with where it came from, so anyone on your team can check a figure in one click.
Every catalogue gets a score
One number for how ready your data is to go live, broken into the three things that make it ready, plus a grade on every product, worst first, so you know where to start.
It recalculates itself every time the data changes, and it warns rather than blocks. Exporting a catalogue scoring 61 is your call to make.
Checks that found nothing are shown too. A score you can read is worth more than a score you have to trust.
Grade E
Refrigeration · 297 productsCompleteness
the values a shopper filters on
Consistency
same unit, same word, everywhere
Confidence
how much is traced to a source
What was checked
Measured over 297 products on 12 August. Scoring changes nothing. It only reads.
Who uses RefynData
Built for the teams stuck reconciling supplier spreadsheets by hand. RefynData closes the gap between messy supplier feeds and a functional ecommerce catalogue, whatever you sell.
Retailers
Streamline supplier product onboarding and cut manual data management overhead.
Distributors
Onboard hundreds of supplier catalogues without adding headcount.
Merchandising teams
Free merchandisers from manual enrichment so they can focus on assortment and AOV.
Ecommerce & PIM teams
Give Pimcore, Akeneo, Magento or Shopify a file that imports first time, with complete, consistent data in your structure.
Six recent jobs
Our own account of work we have done. The customers are unnamed here, and every figure comes from our own records of the job.
All six jobs, in fullOur first pass put nineteen fridge accessories in nine different categories, ten of them plinth grilles filed under outdoor grills. The client moved every one to the same place, accessories for the fridge. One rule covered all nineteen, and it was in their corrections, not in any brief.
Appliance retailer · refrigeration accessories
Read the job in fullSixty-two wall panels came to us with no categories, and our first pass spread them across fifteen: tiles, cladding, even sofas. The retailer wanted one range. We pulled them together and kept the category each panel was first given, so cladding can still be told from tiles.
Bathroom retailer · wall panel range
Read the job in fullTwo hundred and twelve products came back empty on the first pass. We put twenty of them straight back through, with no code changes and nothing retyped. Fourteen came back with a real source attached. They were never missing, just badly searched.
Percussion and pro-audio retailer
Read the job in fullSingle Ended and Single End Bath. Corner and Corner Bath. Freestanding and Freestanding Baths. Twelve spellings in one column covering eight actual bath types, so shoppers got twelve filter options for eight real things. The filters only started working once the twelve became eight.
Bathroom retailer · 329 baths
Read the job in fullWe checked 874 of 901 products against a named source, and listed the other 27 as unchecked rather than guessing at them. Knowing what we could not verify is what makes the number at the top of the report worth reading.
Percussion and pro-audio retailer · 901 products
Read the job in fullImage links rot quietly, or get turned away by the sites that host them. We fetched all 12,015 links we found for this catalogue before the file was built, and 3,566 came back broken or blocked. Nearly a third of them, known before the import rather than after it.
Musical instrument retailer · 12,015 image links
Read the job in fullThe practical answers
Questions retailers and distributors ask before they send us their first file.
What do we need to send you?
Just the spreadsheet your supplier sent, exactly as it arrived. Any columns, any names, no template. A SKU or barcode per row is enough, and brands are spotted automatically.
Where does the missing data come from?
RefynData finds each product online on retailer and manufacturer pages, including the datasheet PDFs attached to them. It pulls in specs, images, manuals and accessories, keeps a link to the source for every value, and checks that each page really shows your product.
Do we have to check everything ourselves?
You stay in control without doing the legwork. AI cross-checks descriptions against specs and flags anything that looks off. Nothing is exported until you approve it, or deliberately skip that step.
What do we get back?
A Google Sheet or Excel file formatted to import into your store or PIM. It has one tab per category, images converted to store-safe formats, and product descriptions and SEO copy already written.
Does this help when shoppers ask an AI instead of searching?
It is the same job. An AI answer is assembled from whatever specs are published about a product, so a listing with a dealer code where the name should be and three blank spec cells gives it nothing to quote. RefynData fills the specs, makes them read the same way across every supplier, then writes the title and description from those values only. It also shows you where a product name is too vague to identify one item, which is the usual reason an answer comes back describing something you do not sell.
Whose data is it?
Yours. Every spec, image and description RefynData assembles belongs to your catalogue. Your data is never sold, shared, or used to improve anyone else's product.
How fast is it?
Enrichment runs on its own once a file is uploaded. Catalogues that took weeks of copy-paste typically come back ready to review in days.
Fixes for the datayour suppliers send
Each guide takes one problem in supplier product data and shows the fix: the same values before and after, and a link to the source of every figure.
BigCommerce product import template: shaping a supplier spreadsheet into Product, Variant and Image rows
BigCommerce product import template, row by row: where the sample CSV is, Modern and Legacy columns, variants and images, and the errors supplier files cause.
Before+£5.00£39.99After39.99Price Magento product import: from a supplier spreadsheet to a CSV that passes Check Data
Magento product import from a supplier spreadsheet: the CSV columns that matter, what Add/Update and Replace do, configurable rows and Check Data errors.
BeforeSizes: Double/KingDBL, KING Aftersku=LDC-GRY-D,size=Double|sku=LDC-GRY-K,size=King configurable_variations How to import products with combinations into PrestaShop: two files from one supplier spreadsheet
PrestaShop import products with combinations: the order of the two imports, the columns in each file, and how a supplier’s colour and size rows fit them.
BeforeOchre /120x170OCHRE-120X170Colour: Ochre, Size: 120 x 170 cm AfterOchre:0, 120 × 170 cm:1Value (Value:Position)*
Product data,in plain English
The words you meet when you sell products online, from barcodes to AI shopping assistants. Each is explained in a sentence, then in everyday terms, with a real example.
New to it? Start with
Ready for the platformyou sell on
Each platform reads a product file its own way. Here is one value from a supplier spreadsheet for each, as it arrived and as that platform takes it.
ShopifyBarcode
Supplier sent: 5.01235E+12
Ready for Shopify: gtin:5012345678900
AmazonItem Name
Supplier sent: LUXURY 400TC COTTON FITTED SHEET ALL SIZES!! FREE P&P
Ready for Amazon: Hollinsby 400 Thread Count Cotton Fitted Sheet, King
WooCommerceCategories
Supplier sent: Kitchen/
Cookware/ Frying PansCookware; Frying pans Ready for WooCommerce: Kitchen >
Cookware > Frying pans MagentoCategories
Supplier sent: Bedding >
Sheets > FittedBeding/ Sheets Ready for Magento: Default Category/
Bedding/ Sheets/ Fitted Sheets eBayMaterial
Supplier sent: Composition: 100% acrylicacrylic knitACRYLIC
Ready for eBay: Acrylic
Google ShoppingGTIN
Supplier sent: 5.01235E+12N/
A Ready for Google Shopping: 5012345678900
TikTok ShopPackage Weight
Supplier sent: 0.42 kg420g0.4kg
Ready for TikTok Shop: 420
BigCommerceOptions
Supplier sent: S/
D/ K/ SK Ready for BigCommerce: Type=Rectangle|
Name=Size| Value=Double WixSize
Supplier sent: KSKing SizeKING
Ready for Wix: King
SquarespaceTags
Supplier sent: CottoncottonCOTTON
Ready for Squarespace: cotton
PrestaShopCategories
Supplier sent: Bathroom >
Towels > Bath Towels Ready for PrestaShop: 8,21
See it work onyour own data
The quickest way to judge RefynData is on your own catalogue: your file, your categories, cleaned in front of you.
One email to set a time. No mailing list, no follow-up sequence.