Multi-brand retailers//Turn supplier chaos into store-ready data
// Multi-brand retailers //Turn supplier chaos into store-ready data

Hundreds of suppliers. One clean catalog.

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Multi-brand retailer product management

Trusted by

Djerf AvenueBjörn BorgPeak PerformanceNudie JeansVagabond ShoemakersGranit
RepresentNN07ICIWHeal'sAsketTwistshake
StrongerLexingtonMaria BlackDedicatedMyrqvistAim'n
Djerf Avenue
Björn Borg
Peak Performance
Nudie Jeans
Vagabond Shoemakers
Granit
Represent
NN07
ICIW
Heal's
Asket
Twistshake
Stronger
Lexington
Maria Black
Dedicated
Myrqvist
Aim'n

Built for retailers

Your suppliers send messy, incomplete data. Emfas turns it into a catalog your customers can actually shop.

Clean up supplier data

Every supplier formats data differently. Emfas takes it all in and gives you one clean, consistent catalog — automatically.

Find what's missing

Suppliers rarely send everything you need. Emfas generates descriptions, finds specs online, and fills in the blanks.

Handle any product type

Apparel, electronics, cosmetics — each category gets the right fields automatically. No manual setup when you add a new product type.

Scale without headcount

Thousands of SKUs from hundreds of suppliers — enriched, translated, and pushed to your store without growing the team.

The supplier data problem

Your suppliers won't fix their data. You can.

Supplier data is rarely store-ready. It arrives in different formats, with different naming conventions, missing fields, and no product descriptions. Manually cleaning this up doesn't scale. Emfas imports it all, structures it automatically, and uses AI to fill the gaps — so your team focuses on merchandising, not data entry.
Structuring supplier data

Deep Research

AI that goes looking for the data you're missing.

When suppliers don't send enough information, your team goes online to research products manually. Emfas does the same thing — automatically. Deep Research finds specs, descriptions, and attributes from across the web and brings them into your catalog, ready for review.
AI-powered product research

Any category, any product

One system for your entire assortment.

Retailers sell everything — apparel, footwear, gear, cosmetics, electronics. Each category needs different attributes and different content. Emfas handles this with product families that automatically assign the right structure, so every product gets the fields it needs without manual setup.
Flexible product categories
Product catalog interface
Feed management interface
Bomulls-T-shirt med rund halsringning
Baumwoll-T-Shirt mit Rundhalsausschnitt
T-shirt en coton à col rond
Camiseta de algodón con cuello redondo
Katoenen T-shirt met ronde hals
T-shirt in cotone con girocollo
Bomulds-T-shirt med rund hals
Puuvillainen t-paita pyöreällä pääntiellä
Bomulls-T-skjorte med rund hals
Koszulka bawełniana z okrągłym dekoltem
Bomulls-T-shirt med rund halsringning
Baumwoll-T-Shirt mit Rundhalsausschnitt
T-shirt en coton à col rond
Camiseta de algodón con cuello redondo
Katoenen T-shirt met ronde hals
T-shirt in cotone con girocollo
Bomulds-T-shirt med rund hals
Puuvillainen t-paita pyöreällä pääntiellä
Bomulls-T-skjorte med rund hals
Koszulka bawełniana z okrągłym dekoltem
Glossary: 'slim fit' → 'smal passform' in Swedish
Glossary: 'organic cotton' → 'coton biologique' in French
Use 'du', never 'Sie', in German copy
Casual, friendly tone for the Dutch market
Never translate the product name itself
Meta titles stay under 60 characters in every language
Glossary: 'water-repellent' → 'vandafvisende' in Danish
Metric units in every market except the US
Sizes shown in EU sizing across Europe
Base language must exist before a translation is generated
Glossary: 'slim fit' → 'smal passform' in Swedish
Glossary: 'organic cotton' → 'coton biologique' in French
Use 'du', never 'Sie', in German copy
Casual, friendly tone for the Dutch market
Never translate the product name itself
Meta titles stay under 60 characters in every language
Glossary: 'water-repellent' → 'vandafvisende' in Danish
Metric units in every market except the US
Sizes shown in EU sizing across Europe
Base language must exist before a translation is generated

FAQ

Emfas imports data from any format — CSV, Excel, API, or custom integration. The platform normalizes supplier data into a consistent structure automatically, regardless of how each supplier formats it.

Deep Research is an AI feature that searches the web for missing product information — specs, descriptions, attributes — and brings it into your catalog. It does what your team would do manually, but at scale.

Product families define which attributes a product type needs — clothing gets fabric and fit, electronics get voltage and connectivity. Products are automatically assigned to the right family, so they always have the correct fields.

Yes. Emfas is built for high-volume, high-variety catalogs. Automations and AI enrichment scale across thousands of SKUs and any number of product categories.

Always. AI generates and enriches — your team reviews and approves. Nothing is published without your sign-off.

Ready to tame the chaos?

See how retailers use Emfas to turn messy supplier data into a catalog that sells.

Book a demo