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📏Exact dimensions, not 'medium'
Pulls cm, kg and volume from your CSV or supplier feed and places them in a structured spec block.
Revenza writes product descriptions with exact dimensions, material origin, style tag and care guide — pulled from your supplier data, not invented.
Sound familiar?
Description says 'small vase' but no cm — buyers expect 15cm, get 8cm, return it
Every description includes height, width, diameter and weight in cm/g, parsed from your spec sheet
'Ceramic' on the card doesn't tell handmade from factory — your €40 piece looks like IKEA's €8
Material block separates 'hand-thrown ceramic' from 'mass-produced stoneware' so price feels justified
Boho, Scandi, loft style only visible on the photo — Horoshop search never surfaces these cards
Style tags (boho, scandi, japandi, loft) added to text and meta — Horoshop search finds them
NY decor sold without flammability info on candles and garlands — risky under EU CLP
Candles flagged with fragrance % and CLP-compliant safety wording; garlands marked fire-class
No care guide: customers ask 'can I wash it?' in DMs every day, return rate climbs
Auto-generated care section: cleaning, washability, storage, light sensitivity
Writing 400+ SKUs by hand before October peak is impossible with a team of two
Bulk mode processes 500 SKUs/hour within Horoshop's 100 req/hour API by smart batching
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.
Enter your API key — Revenza reads existing SKUs, categories and photos within minutes.
Select 'Vases', 'Candles', 'Wall decor' or all 2,000 SKUs. Set tone: minimalist, warm, or premium.
Approve in batches of 50 in the dashboard. Edit any field; Revenza learns your brand voice over time.
Push live with H2/H3/UL formatting that fits Horoshop's HTML rules and avoids duplicating the H1.
Pulls cm, kg and volume from your CSV or supplier feed and places them in a structured spec block.
Distinguishes handmade ceramic, mango wood, recycled glass — with EUTR-ready timber sourcing notes.
Reads product images and assigns style tags (boho, scandi, wabi-sabi) to text and Horoshop filters.
Adds CLP fragrance labels above 3% and flammability notes for NY garlands, dried flowers, paper decor.
Auto-builds cleaning and storage instructions — cuts 'how do I wash it' messages by ~40%.
Same content reformats for Google Shopping, Pinterest Catalog and Instagram Shopping without rewrites.
ChatGPT invents dimensions and materials when data is missing. Revenza reads your supplier sheet, photos and existing meta — if a value is unknown, it leaves a flag instead of fabricating. It also formats output for Horoshop HTML (h2, h3, ul, p) with no manual cleanup.
No. Revenza varies sentence structure per category and uses your brand voice sample. A €12 IKEA-style candle holder reads differently from a €90 MAMO decor handmade vase, even in the same batch.
Yes. A typical store with 1,500 NY SKUs gets full descriptions in 4-6 hours. Run it in September, review in batches, publish before the Black Friday traffic wave.
Revenza flags fragrance content above 3% (EU CLP) and pulls timber sourcing fields for EUTR. It will not publish a candle card without a fragrance line if the SKU is tagged 'scented'.
Yes — and it specifically avoids matching their phrasing. Revenza checks against common decor copy patterns and rewrites to keep your cards distinct in Google's eyes.
For 400 SKUs you'll spend roughly 2 hours total: setup, batch review, publish. Manually writing 400 cards with sizes, materials and care guides takes 60-80 hours.
Run Revenza on 50 SKUs free. See real dimensions, style tags and care guides on your Horoshop store before you commit.