Auto parts catalogs, with fitment that holds up.

What you get

• Each part listed with a consistent title: brand, part type, part number, fitment summary.
• Part numbers split into the right fields: your SKU, manufacturer part number, OEM number.
• Cross-reference and interchange numbers stored in searchable form.
• Fitment organised by make, model, year and, where supplied, engine or trim.
• Position, side and quantity information, such as front left or pair.
• Weight, dimensions and packaging for shipping.
• Collections by vehicle make, system and part type.
• A QA report listing duplicate part numbers, missing fitment and conflicting data.

How it works

1. You send the supplier data, fitment tables, interchange lists and images.
2. We inspect them and give a fixed quote. A 10-product sample is free if the project is a fit.
3. The AI engine structures the data at volume. A person reviews outputs and samples fitment rows against the source.
4. You approve a draft.
5. We publish via a staff or collaborator account. We never ask for passwords.

From 48 hours for eligible projects; turnaround depends on scope, catalog complexity and the quality of the data and access we receive.

What parts catalogs need

Fitment is the product

A brake pad is useless to a customer whose car it does not fit. For each part, the data has to say which vehicles it suits: make, model, year range, often engine, trim or drivetrain. A single part can have thousands of fitment rows. Putting them into a description makes the page unreadable and unsearchable, so we keep fitment in a structured table and show a short summary on the product page.

ACES and PIES

In the US aftermarket, the Auto Care Association maintains two data standards. ACES covers vehicle fitment, and PIES covers product information such as descriptions, weights, images and packaging. Distributors and many marketplaces expect data in or mappable to these standards. If you already have such files, we can use them as a source. If you do not, we can structure your data in a way that maps to them later.

Part numbers

Part data usually has several numbers. Your SKU, the manufacturer's part number and the OEM number do different jobs. Search customers often type the OEM number, so it needs to be findable. We keep them in separate fields and format them consistently, since hyphens and spaces vary between sources and break exact-match search.

Cross-references

Interchange lists say that part A from one maker equals part B from another. We store these as lookups so a search on a competitor's number finds your equivalent. We take cross-references from the lists you supply; we do not create equivalences.

eBay Motors compatibility

On eBay, parts and accessories listed in motors categories typically carry a compatibility list that tells buyers which vehicles the part fits. We prepare make, model and year data, with trim and engine where available, for entry in eBay's tool. Check eBay's current requirements, which differ by site and category.

Huge SKU counts

At this size, small errors repeat. We validate in batches: unique SKUs, no blank fitment, consistent units, image presence. We also agree a SKU pattern early, see SKU naming conventions.

Attribute table

Cross-references, superseded parts and returns

Part numbers change. We keep the manufacturer part number, OE and aftermarket cross-references and any superseded numbers in separate fields, so search can find a part by whichever number a customer holds. Where a supplier gives a replacement for a discontinued part, we link it instead of deleting the old page.

For returns, the biggest risk is a wrong fit. We make the vehicle compatibility visible near the add to cart, separate universal parts from vehicle-specific ones, and add the install notes, position (front or rear, left or right) and quantity per pack that buyers need. Core charges, hazardous shipping flags and warranty terms are added as fields when you supply them.

Pricing

A fixed quote follows file inspection, since fitment volume drives the work.

Over 1,000 products, which is common for parts, is a custom quote. See pricing and wholesale catalog.

Is this a fit?

It suits sellers and distributors who have part data in spreadsheets or supplier files and need it turned into a clean store catalog, or a channel-ready dataset. It suits those with ongoing supplier updates, which may fit Monthly Catalog Ops.

It is not a good fit if you need a live vehicle-lookup tool (year, make, model selector), which is an app or development job, or live inventory sync from your distributor. We also cannot verify fitment against vehicle databases beyond what your sources contain.

Start with the free sample or get a quote at get started. Also see catalog cleanup for messy existing data.