🎁 TRIAL50 · 50 free products

AI Product Cards for BigCommerce Footwear Stores — 500 to 5000 SKUs

Revenza fills shoe descriptions with sizing tables, material breakdown, heel height, season range and care guides. Built for stores like INTERTOP and Respect-shoes.

No credit card 50 free credits 2-min setup

Sound familiar?

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

Before

Description says 'leather upper' — buyers can't tell if it's full-grain, nubuck, suede or eco-leather. Returns and price disputes follow.

With Revenza

Revenza names the exact material — full-grain leather, nubuck, suede or PU — and pulls the matching care advice into the description.

Before

Size shows only 'EU 38' with no UK/US equivalent and no last width — wide-foot customers return shoes weekly.

With Revenza

Every size gets EU/UK/US conversion plus last width (narrow/medium/wide) generated from your spec sheet.

Before

Heel and platform height visible only on the photo, never as numbers in the text — filters and Google Shopping skip the SKU.

With Revenza

Heel and platform height are pulled into structured Custom Fields and rendered as a numeric line in the description.

Before

Autumn boots listed without temperature range or lining type — buyers ask the same question in chat 30 times a day.

With Revenza

Season tag becomes a temperature range (e.g. 0°C to +15°C) with lining type — wool, faux fur, textile or unlined.

Before

No care instructions (impregnation, cream, drying) — leather complaints pile up after the first rain in October.

With Revenza

Care block is generated per material: impregnation interval, cream type, drying rules — same format across all SKUs.

Before

EU Footwear Directive 94/11/EC labeling for upper/lining/sole is missing or buried — compliance audits flag every second card.

With Revenza

Upper / lining / sole composition is auto-formatted to EU 94/11/EC pictograms and saved into the BigCommerce Product Schema.

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 BigCommerce store

OAuth into your BigCommerce backend. Revenza reads SKUs, Custom Fields, brand and existing photos in under 10 minutes.

02

Map your shoe attributes

Tell Revenza which fields hold material, heel height, lining and last width. Mapping is saved per category.

03

Generate before March or September

Run 400+ SKUs in about 2 hours ahead of the spring or autumn peak. Review in a side-by-side editor.

04

Publish and sync channels

Approved cards push to BigCommerce, then propagate to Google Shopping, Facebook and Rozetka feeds automatically.

What your store gets

01

👟Material breakdown per 94/11/EC

Auto-generates upper, lining and outsole composition in the format required by the EU Footwear Directive — text and pictograms.

02

📏EU/UK/US size tables

Builds a size conversion table per model, separate for women's and men's lasts, with last width — narrow, medium, wide.

03

🌧️Season and temperature range

Translates 'spring' or 'autumn' into a real temperature window plus lining type, so customers stop asking in chat.

04

🧴Care guide by material

Generates impregnation, cream and drying instructions matched to leather, suede, nubuck or textile — reduces returns on rainy days.

05

🔬REACH Cr VI compliance line

Adds the chrome-6 statement (≤3 mg/kg) for leather SKUs, so EU buyers and marketplaces accept the listing.

06

📦Multi-channel export

One description adapts to BigCommerce Channel Manager, Google Merchant Center, Facebook Catalog and Rozetka.ua XML.

Frequently asked questions

01Can Revenza handle 3000 SKUs before the autumn season starts?+

Yes. A typical batch of 3000 footwear SKUs is processed in 12–15 hours of compute, with human review usually taking 2–3 days. Most stores start in mid-August to be ready for the September peak.

02Will the descriptions follow EU Footwear Directive 94/11/EC?+

Every leather, textile or synthetic SKU gets a structured upper/lining/sole composition block. Pictograms and percentages match the directive, and the data is also written into BigCommerce Custom Fields for schema.

03How does it handle sizes when EU 38 is a 7.5 in US women's but 5.5 in UK?+

Revenza uses separate conversion logic for women's and men's mondopoint, plus a width column (B, D, EE). The table is generated per model from your last specifications, not a generic chart.

04What if my product titles are inconsistent — 'boots', 'ankle boots', 'chelsea'?+

The model normalizes category terms during ingestion. You can review the proposed taxonomy before generation and lock specific terms (for example, always 'Chelsea boots' instead of 'ankle boots').

05Does it write in Ukrainian and English for stores selling like Kasta.ua?+

Yes. Revenza generates parallel descriptions per language and stores them in BigCommerce multi-language fields. Material names, care terms and size labels are localized, not machine-translated.

06What happens to my hand-written premium descriptions?+

Nothing — Revenza only touches SKUs you select. You can mark hero models as 'do not regenerate' and use the tool only for the long tail where descriptions are thin or missing.

Get your footwear catalog ready before the next seasonal peak

Test Revenza on 50 SKUs from your BigCommerce store. See real descriptions with sizing, materials and care — no credit card required.

No credit card 50 free credits 2-min setup
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