π§OEM + cross-reference engine
Validates OEM codes and lists aftermarket equivalents from Bosch, ATE, Brembo, TRW, Febi so professional buyers trust the listing.
Revenza writes descriptions with OEM cross-references, year/engine fitment, and install difficulty for 5000-100000 SKU catalogs without manual work.
Sound familiar?
Descriptions are just OEM number + part name β no fitment, no install notes, buyers bounce to Exist.ua or AutoDoc.ua
Generates structured HTML with OEM, fitment table, install notes, and warranty in one OpenCart description field
'Fits Toyota Camry' without specifying 2.5 vs 3.5 engine or 2015 vs 2020 facelift β wrong-part returns kill margins
Fitment block specifies make, model, generation, year range, engine code, and body type β no ambiguity
Brake pad material (organic / semi-metallic / ceramic) missing from cards β pros can't compare, DIYers buy wrong
Detects part category and adds material spec (organic/semi-metallic/ceramic) plus performance profile per pad type
OEM numbers absent or unverified β professional mechanics skip your store, no cross-reference to ATE, Bosch, Brembo
Pulls and validates OEM numbers, adds cross-references to Bosch, ATE, Brembo, TRW where applicable
EMARK compliance for lamps, mirrors, brake pads (Directive 2007/46/EC) not stated β EU buyers filter you out
Adds EMARK / E-mark and Euro 5/6 compliance notes for parts where Directive 2007/46/EC and Regulation 715/2007 apply
Single WYSIWYG field in OpenCart 3.x means writing 50000 HTML blocks by hand β seasonal spring rush hits before catalog is ready
Bulk processing: 400+ SKUs in 2 hours, ready before the spring brakes-and-suspension peak
What Revenza does every day
1000
products in 1 hour
5Β’
per description (Pro)
9
platforms supported
6
languages, one click
Face cream, moisturizes skin. Volume 50 ml. Brand: XYZ. Ingredients: water, glycerinβ¦
Nourishes and restores your skin overnight. Formula built on 3% hyaluronic acid + argan oil. Visible results in 7 days.
Link your store via API or upload TecDoc XML / CSV. Revenza reads existing OEM numbers, attributes, and category tree.
Pick which categories need EMARK notes, DIY rating, material specs. Set tone β technical for pros or explanatory for DIY.
Process 500-5000 SKUs per run. Preview HTML output, check fitment accuracy, approve or regenerate specific cards.
Descriptions, SEO titles, and meta descriptions write back to the WYSIWYG field and SEO tab per language.
Validates OEM codes and lists aftermarket equivalents from Bosch, ATE, Brembo, TRW, Febi so professional buyers trust the listing.
Builds an HTML fitment block with model, year range, engine displacement and code β no more 'fits Camry' guesswork.
Tags each part 1-10: '4/10 home garage' vs '9/10 needs lift' β cuts pre-sale chat questions and wrong-tool returns.
Adds homologation marks for lamps, mirrors, brake pads and emissions compliance for cats and filters where required.
Reads TecDoc XML and Hotline.ua feeds, enriches sparse rows, then writes back to OpenCart with full HTML.
Generates separate UA/RU/EN descriptions for OpenCart language modules β same fitment data, native phrasing per locale.
It uses your existing OEM data from TecDoc XML or product attributes as the source of truth, then matches public aftermarket catalogs to add equivalents. It never invents OEM codes β if a number can't be verified, the field stays empty rather than risk a wrong reference.
If your feed already has TecDoc K-Type or vehicle linkage, Revenza formats it into a readable HTML table per card. For catalogs without structured fitment, it parses what's in the title and attributes and flags low-confidence cards for manual review.
It adds compliance notes only for categories where they apply β lamps, mirrors, brake pads under Directive 2007/46/EC, and catalysts/filters under Regulation 715/2007. The note references the standard; legal responsibility for actual homologation stays with the supplier.
Yes. Output is clean HTML with headings, fitment tables, and bullet lists that render inside the standard WYSIWYG field. SEO Title and Meta Description go to the SEO tab. Multilingual descriptions write to each language module separately.
Throughput is around 400+ SKUs per 2 hours per project. A 10000-SKU brake and suspension catalog is realistic in 4-6 days of background processing, leaving time for review before the March-April peak.
ChatGPT writes generic copy and hallucinates OEM numbers. Revenza is wired to your TecDoc feed, validates part codes, enforces fitment structure, and writes directly to OpenCart in batches β no copy-paste, no fake references.
Stop losing pro buyers to Exist.ua and AutoDoc.ua over missing OEM and fitment data. Test Revenza on 100 SKUs from your OpenCart catalog.