🎁 TRIAL50 · 50 free products

AI Descriptions for OpenCart Auto Parts Stores β€” OEM, Fitment, DIY Rating

Revenza writes descriptions with OEM cross-references, year/engine fitment, and install difficulty for 5000-100000 SKU catalogs without manual work.

No credit card 50 free credits 2-min setup

Sound familiar?

Here's why stores don't sell β€” and how Revenza fixes it

Before

Descriptions are just OEM number + part name β€” no fitment, no install notes, buyers bounce to Exist.ua or AutoDoc.ua

With Revenza

Generates structured HTML with OEM, fitment table, install notes, and warranty in one OpenCart description field

Before

'Fits Toyota Camry' without specifying 2.5 vs 3.5 engine or 2015 vs 2020 facelift β€” wrong-part returns kill margins

With Revenza

Fitment block specifies make, model, generation, year range, engine code, and body type β€” no ambiguity

Before

Brake pad material (organic / semi-metallic / ceramic) missing from cards β€” pros can't compare, DIYers buy wrong

With Revenza

Detects part category and adds material spec (organic/semi-metallic/ceramic) plus performance profile per pad type

Before

OEM numbers absent or unverified β€” professional mechanics skip your store, no cross-reference to ATE, Bosch, Brembo

With Revenza

Pulls and validates OEM numbers, adds cross-references to Bosch, ATE, Brembo, TRW where applicable

Before

EMARK compliance for lamps, mirrors, brake pads (Directive 2007/46/EC) not stated β€” EU buyers filter you out

With Revenza

Adds EMARK / E-mark and Euro 5/6 compliance notes for parts where Directive 2007/46/EC and Regulation 715/2007 apply

Before

Single WYSIWYG field in OpenCart 3.x means writing 50000 HTML blocks by hand β€” seasonal spring rush hits before catalog is ready

With Revenza

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

Before and after, a real example

BEFOREGeneric Β· 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 Β· 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 OpenCart catalog

Link your store via API or upload TecDoc XML / CSV. Revenza reads existing OEM numbers, attributes, and category tree.

02

Set fitment and compliance rules

Pick which categories need EMARK notes, DIY rating, material specs. Set tone β€” technical for pros or explanatory for DIY.

03

Generate and review batch

Process 500-5000 SKUs per run. Preview HTML output, check fitment accuracy, approve or regenerate specific cards.

04

Push to OpenCart

Descriptions, SEO titles, and meta descriptions write back to the WYSIWYG field and SEO tab per language.

What your store gets

01

πŸ”§OEM + cross-reference engine

Validates OEM codes and lists aftermarket equivalents from Bosch, ATE, Brembo, TRW, Febi so professional buyers trust the listing.

02

πŸš—Year/engine fitment tables

Builds an HTML fitment block with model, year range, engine displacement and code β€” no more 'fits Camry' guesswork.

03

πŸ› οΈDIY difficulty rating

Tags each part 1-10: '4/10 home garage' vs '9/10 needs lift' β€” cuts pre-sale chat questions and wrong-tool returns.

04

πŸ“‹EMARK & Euro 5/6 compliance notes

Adds homologation marks for lamps, mirrors, brake pads and emissions compliance for cats and filters where required.

05

πŸ“¦TecDoc XML import

Reads TecDoc XML and Hotline.ua feeds, enriches sparse rows, then writes back to OpenCart with full HTML.

06

🌐Multilingual output

Generates separate UA/RU/EN descriptions for OpenCart language modules β€” same fitment data, native phrasing per locale.

Frequently asked questions

01Where does Revenza get OEM numbers and cross-references from?+

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.

02How does it handle fitment for 50000 SKUs across thousands of vehicles?+

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.

03Can it mark EMARK or Euro 5/6 compliance correctly?+

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.

04Will it work with OpenCart 3.x and the single description field?+

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.

05How fast can I process the catalog before the spring rush?+

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.

06How is this different from just using ChatGPT?+

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.

Fill 10000 auto parts cards before the spring brakes peak

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.

No credit card 50 free credits 2-min setup
Start free β†’