Parts have two data problems, not one. What the part is, and what it fits. Most catalogues hold the first in a PIM or a spreadsheet and the second in a separate fitment file that nobody can join back to it. SKULaunch structures both, from supplier catalogues, ACES and PIES files and TecDoc exports, and keeps them in step. In days, not months.
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Owns part numbers, cross-references and specs from hundreds of brands, each with its own catalogue format and its own idea of a part type.
Owns the ACES and PIES files, the TecDoc export and the vehicle table, and spends most of the week on validation failures and overlapping applications.
Running a site where the vehicle lookup returns the wrong part for the right car, and the returns follow.
Watching workshop and trade accounts move to the distributor whose lookup is trusted.
Parts data breaks in a specific way. The product record and the fitment record live in different systems, are updated by different people at different times, and are joined by a part number that is not always written the same way in both. The result is a catalogue that says the right things about the part and the wrong things about what it fits, which is how returns, rejected feeds and lost trade accounts happen.
The buyer starts from the vehicle. A workshop enters a registration or a VIN, expects the right part first time, and orders. A wrong result costs a return, a courier and the account. Marketplaces enforce the same standard: Walmart validates ACES files on submission and rejects on a missing part type, base vehicle or part number.
The standards do their part and no more. ACES carries fitment, PIES carries the product, TecDoc covers Europe with no official mapping between them, and every receiver wants a different version. Auto Care's own quality bar is under 1 per cent invalid configurations and under 1 per cent overlaps, and files fail it because a part number, brand code or part terminology does not match between the product side and the fitment side.
For the full picture of what fixing this involves, from supplier intake to enrichment and publishing, see our guide to product data management for distributors.
Most distributors arrive with one of these. The other three show up within a month.
Brand catalogues, price files, PIES exports and spec PDFs arrive through one portal, pre-filled by AI from the supplier's own data. Part types, attributes and identifiers land in your schema.
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Vehicle applications structured against the product, validated against the reference databases, and exported as ACES, TecDoc or your own format, from one source.
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Once fitment is structured, the customer narrows by vehicle first and then by the attributes that matter: position, material, brand, warranty. Nothing greys out.
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A brand's launch catalogue becomes complete, classified listings with applications attached, ready for the site and the marketplace feed.
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Every capability designed for a catalogue where every part has a specification and a list of vehicles it fits.
One link per brand or supplier. AI pre-fills from their catalogue. They confirm. Validated data in days.
Explore →ACES, PIES and TecDoc mapped to your schema on the way in and generated on the way out.
Explore →Every part type enriched against its own schema. Confidence-scored. Reviewed by exception.
Explore →Vehicle applications structured, validated and exported alongside the product record, not in a separate file.
Explore →A schema per part type in minutes, with the attributes the workshop searches on.
Explore →Completeness by brand, by part type, by attribute, including which parts have no fitment at all.
Explore →Forty product groups, hundreds of suppliers, one schema per group.
Read more →You're here.
ETIM in, sellable product data out, across the whole range.
Read more →Book 30 minutes. Bring a brand catalogue and its fitment file. We'll show them arriving as one record, validated and ready to export.
The AI product data platform that turns messy supplier files into sales-ready content. Run it upstream of your PIM, or run it as one.
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