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👟Pronation & sole-type detection
Recognizes 4,000+ running shoe models and writes the pronation, drop, and surface block without manual lookup.
Revenza generates Short Description and full Description for running shoes, ski gear, and gym equipment — with sizing, pronation, and CE marking included.
Sound familiar?
Brand sends a feed with EU sizes only — buyers ask 'what's that in UK?' and refuse to checkout
Auto-generates a sizing block with EU/UK/US/CM conversion table for every footwear SKU
Running shoes listed as 'for running' with no pronation type — returns from buyers who needed neutral vs overpronation support
Pulls pronation type from the model database (neutral / over / under) and writes a clear recommendation paragraph
Sneaker weight missing from specs — marathon runners (who care about <220g vs >280g) leave for DECATHLON Ukraine
Adds shoe weight per single unit in grams and tags the SKU as 'race', 'daily trainer' or 'cushioned'
Sole type (asphalt / trail / indoor court) isn't in the description → 30% return rate on running shoes
Detects sole pattern from the model and writes the surface use case: road, trail, gym floor, or court
Gore-Tex or Dri-FIT shows in the title but the card never explains what it actually does for the buyer
Translates 'Gore-Tex membrane' into 'keeps feet dry in 4h of rain at +5°C' — buyer-language benefits
Ski helmets and life vests imported without EN 1077 / EN 13138 markings written in the card — compliance risk and lost trust
Inserts EN 1077 (ski), EN 1078 (cycling), EN 13138 class A/B/C (life vests) into the spec block automatically
What Revenza does every day
1000
products in 1 hour
5¢
per description (Pro)
9
platforms supported
6
languages, one click
Face cream, moisturizes skin. Volume 50 ml. Brand: XYZ. Ingredients: water, glycerin…
Nourishes and restores your skin overnight. Formula built on 3% hyaluronic acid + argan oil. Visible results in 7 days.
REST API key or plugin install. Revenza pulls categories, attributes, and existing ACF fields in 5 minutes.
Select running shoes, ski gear, gym apparel, or all 8,000 SKUs at once. Set a tone preset per category.
Approve or edit samples. Revenza learns your wording — 'support runner' vs 'daily trainer' — and applies it to the rest.
Push descriptions back to WooCommerce. 1,500 SKUs typically finish in under 3 hours, with a CSV backup of originals.
Recognizes 4,000+ running shoe models and writes the pronation, drop, and surface block without manual lookup.
Generates a conversion table inside the Short Description — same format buyers see on Puma.com/ua-uk.
Writes ski/snowboard cards Oct–Feb with cold-weather wording, swaps to running and cycling angle Apr–Aug.
Auto-fills EN 1077, EN 1078, EN 13138 markings into ACF spec fields for helmets, vests, and protection gear.
Writes Short Description, full Description, and ACF specs separately — Yoast and RankMath read both for SEO scoring.
Output maps directly to Google Shopping, Facebook Catalog, and Rozetka.ua XML — no rewriting per channel.
No. Revenza shows a diff before publishing and skips any SKU you mark as 'manual'. You can also restrict it to empty Short Descriptions only.
From a model database covering Asics, Nike, Adidas, Mizuno, Saucony, Hoka, Brooks, and 40+ other brands. If a model is unknown, Revenza flags the SKU instead of guessing.
Yes. WPML and Polylang are supported — Revenza generates both language versions in one run and links them via the existing translation IDs.
If the brand feed contains EN 1077, EN 1078, or EN 13138 class A/B/C, Revenza places it in a dedicated 'Certification' ACF field and references it in the description text.
Descriptions hit a green readability score and include the focus keyword in the first 100 words, H2, and meta. We tested on 12 stores including catalogs comparable to Intersport Ukraine.
Pay per generated card, not per month. Bulk runs over 5,000 SKUs get a 40% discount. First 50 cards are free to test on your live data.
Connect WooCommerce, pick a running shoes or ski category, and see filled cards with pronation, sizing, and EN markings in 20 minutes.