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.

Multi-brand retailer product management

Trusted by

Djerf AvenueBjörn BorgPaul SmithDaniel WellingtonOur LegacyNudie Jeans
RepresentSamsøe SamsøeNN07ICIWJeanericaMyrqvist
StrongerHolditLexingtonMaria BlackOASDedicated
Djerf Avenue
Björn Borg
Paul Smith
Daniel Wellington
Our Legacy
Nudie Jeans
Represent
Samsøe Samsøe
NN07
ICIW
Jeanerica
Myrqvist
Stronger
Holdit
Lexington
Maria Black
OAS
Dedicated

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.
Explore Product catalog→Explore Automations→
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.
Explore Automations→Explore Brand rules→
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.
Explore Channel feeds→Explore Assets & media→
Flexible product categories

The AI-native PIM

Built to run your entire
product operation.

Product catalogPIM
Every product, variant, and attribute — structured your way.Learn more →
Assets & mediaDAM
Images, videos, and files live with the products they belong to.Learn more →
Channel feedsFeed management
Push your catalog to every sales channel, formatted and ready.Learn more →
Brand rulesQuality control
Define tone, terminology, and standards. AI follows them.Learn more →
AutomationsAI
Enrich, translate, and optimize — on autopilot.Learn more →
Learn more →
Product catalog interface
Feed management interface
Always use sentence case for product titles
Never abbreviate fabric names — write 'polyester', not 'poly'
Color names must match the official brand palette
Include care instructions for every garment
Product descriptions must be 40–80 words
Use active voice — 'This jacket protects' not 'Protection is provided'
Mention sustainability only with verified certifications
No superlatives like 'best' or 'most luxurious' without proof
Size guides must reference both EU and US sizing
Fabric composition must add up to 100%
Always use sentence case for product titles
Never abbreviate fabric names — write 'polyester', not 'poly'
Color names must match the official brand palette
Include care instructions for every garment
Product descriptions must be 40–80 words
Use active voice — 'This jacket protects' not 'Protection is provided'
Mention sustainability only with verified certifications
No superlatives like 'best' or 'most luxurious' without proof
Size guides must reference both EU and US sizing
Fabric composition must add up to 100%
Translate 'slim fit' as 'smal passform' in Swedish, never 'slim fit'
All weights in grams, never ounces
Avoid gendered language in unisex product lines
Hero images must be on a white background
Never reference competitor brands in descriptions
Season codes follow YYYY-SS or YYYY-AW format
Material percentages listed highest to lowest
Product names must not exceed 60 characters
Use Oxford comma in all English-language copy
Price must never appear in product descriptions
Translate 'slim fit' as 'smal passform' in Swedish, never 'slim fit'
All weights in grams, never ounces
Avoid gendered language in unisex product lines
Hero images must be on a white background
Never reference competitor brands in descriptions
Season codes follow YYYY-SS or YYYY-AW format
Material percentages listed highest to lowest
Product names must not exceed 60 characters
Use Oxford comma in all English-language copy
Price must never appear in product descriptions

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.