🎁 TRIAL50 · 50 free products

AI descriptions for your Shopify fashion boutique — 500-5000 SKUs filled in hours

Revenza writes product copy with fabric %, size charts in UK/US/EU/UA, and FW/SS season tags — directly into Shopify Body HTML and Metafields.

No credit card 50 free credits 2-min setup

Sound familiar?

Here's why stores don't sell — and how Revenza fixes it

Before

Average clothing description is 50-100 words, no fabric composition, no size chart — Google Shopping demotes the feed

With Revenza

Each description includes fabric %, weave, and care symbols (GINETEX) so feeds pass Google Shopping and Meta Catalog validation

Before

Size tables missing or given in one system only (UK only, or EU only) — returns hit 40% because shoppers guess wrong

With Revenza

Auto-generated size chart in 4 systems (UK/US/EU/UA) with model height + weight + worn size — same block Kasta.ua and Answear.ua use

Before

Fabric composition is photographed on the care label but never typed into the description — REACH and EU Regulation 1007/2011 compliance gap

With Revenza

Fabric composition (e.g. 86% cotton, 14% elastane) parsed from your supplier sheet and written into Shopify Metafields, indexable by Google

Before

Season tag missing: a FW24 wool coat uploaded in August has no 'FW24' marker and drowns in search

With Revenza

Every product gets a season tag (FW24, SS25) in title and tags — seasonal collections stay findable through the cycle

Before

Shopify's built-in AI writes generic copy that reads the same for a silk slip dress and a denim jacket

With Revenza

Niche-trained on fashion vocabulary: drape, hand-feel, opacity, lining, rise, inseam — not the generic Shopify AI output

Before

Color names like 'beige' or 'taupe' without context — monitor color ≠ reality, customers return because the shade looks off

With Revenza

Color described with undertone reference (warm beige / cool taupe) and styling context, plus lighting note for the photo

What Revenza does every day

1000

products in 1 hour

per description (Pro)

9

platforms supported

6

languages, one click

Before and after, a real example

BEFOREGeneric · Low SEO

Face cream, 50 ml

Face cream, moisturizes skin. Volume 50 ml. Brand: XYZ. Ingredients: water, glycerin…

AFTERSEO 98/100

Overnight cream for dry skin 50 ml · deep hydration

Nourishes and restores your skin overnight. Formula built on 3% hyaluronic acid + argan oil. Visible results in 7 days.

How it works

01

Connect your Shopify store

OAuth into Shopify, Revenza reads your products, collections, and Metafield definitions. No CSV exports.

02

Upload supplier sheet or tag photos

Drop your supplier spec sheet (XLS/CSV) or photos of care labels — Revenza extracts fabric % and origin.

03

Pick tone and season

Choose tone (editorial, minimal, streetwear) and current season tag. Revenza writes 50-200 SKUs per batch.

04

Review and publish to Body HTML

Approve in bulk or per item. Descriptions write to Body HTML, specs to Metafields, tags update automatically.

What your store gets

01

🧵Fabric composition in EU format

Writes '86% cotton, 14% elastane' per Regulation 1007/2011 into Body HTML and a dedicated Metafield.

02

📏Four-system size charts

Auto-builds UK/US/EU/UA tables with model height, weight, and worn size — the spec that cuts returns at INTERTOP and Answear.

03

🍂Season tagging FW/SS

Tags every SKU with FW24, SS25, or resort drop based on your collection sheet so seasonal search keeps working.

04

🛒Feed-ready output

Output passes Google Shopping Feed, Meta Catalog, and Rozetka.ua XML validation on first push — no missing-attribute warnings.

05

🌐Shopify Markets locales

Generates EN, UK, PL, DE versions per Shopify Markets locale — matched fabric terms, not machine-translated mush.

06

🧴Care symbols included

GINETEX wash/iron/dry symbols rendered as a small care block — best practice for EU buyers, lifts trust signals.

Frequently asked questions

01How is this different from Shopify's built-in AI description generator?+

Shopify's generator produces generic copy with no fabric composition, no size chart, and no season tag. Revenza is trained on fashion catalogs (the kind Kasta.ua and Answear.ua publish) and writes the structured fields Google Shopping actually requires.

02Can it handle 3000+ SKUs across SS and FW collections?+

Yes. Typical boutique runs are 500-5000 SKUs. Revenza processes around 400 SKUs per hour and tags each with the right season code so SS leftovers and FW arrivals stay separated in your feeds.

03Does it comply with EU Textile Labelling Regulation 1007/2011?+

Fabric composition is written in the required percentage format (e.g. 86% cotton, 14% elastane) in both Body HTML and a structured Metafield. REACH-relevant warnings on azo dyes can be flagged when supplier data indicates them.

04How does the size chart work with different regions?+

Revenza generates one table covering UK, US, EU, and UA with measurements in cm and inches. Model height, weight, and worn size are added when you provide them — the same data points that reduce return rates on Answear and INTERTOP product pages.

05Will it overwrite descriptions I've already edited?+

No. You can mark SKUs as locked, or run Revenza only on products with empty Body HTML. Bulk preview shows the diff before anything writes back to Shopify.

06What about translations for Shopify Markets?+

Revenza writes native versions per locale rather than machine-translating one source. Fabric terminology, care wording, and size system stay correct for each market — DE shoppers see EU sizing first, UK shoppers see UK first.

Fill your Shopify boutique catalog before the next season drops

Connect your store, upload supplier sheets, and ship FW or SS collections with full fabric, size, and care data — without writing 3000 descriptions by hand.

No credit card 50 free credits 2-min setup
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