Auto Parts Ecommerce Development

Building an online store whose job is to sell the right part for a specific vehicle. That means a catalog and data model built around fitment, a year, make and model search, an import for supplier ACES and PIES files, search by part and OE number, checkout rules for cores and freight, and often a B2B area for shops and fleets. The storefront design matters, but the data decides whether customers trust it.

They are the aftermarket's data standards, maintained by the Auto Care Association. ACES carries fitment data: which vehicles a part is designed to fit. PIES carries product information: attributes, dimensions, packaging and content. Both are XML files built on reference databases such as the Vehicle Configuration database, and suppliers send them to the sellers who list their parts.

Yes. We build an import that reads the files, maps them to the store's own attributes and vehicle data, and runs on a schedule so new applications arrive without anyone loading them by hand. Every row it cannot use is reported with a reason, so bad supplier data is fixed at the source instead of quietly disappearing.

The shopper picks a vehicle once, the store remembers it, and every search result, category and product page is filtered to parts that fit. Where a part does not fit the chosen vehicle, the product page says so plainly. The selector can go further than year, make and model, to engine and submodel, where your fitment data carries them.

It depends on the catalog. Magento handles very large catalogs and custom fitment tables well. Shopify suits a focused range, with fitment held in its own data, because a Shopify product holds at most 2,048 variants and fitment cannot be modelled as variants. BigCommerce sits between them. We recommend after we have seen your catalog and your supplier data, not before.

Yes, for the right catalog. Fitment on Shopify lives in its own data and is served through an app or a custom build, rather than as product variants, which are capped at 2,048 per product. For a focused range with good supplier data that works well. For hundreds of thousands of SKUs with deep fitment, Magento is usually the stronger home, and we will say so.

By catching the mismatch before the order. The vehicle is stated once and carried through the whole store, the product page confirms fit or says plainly that a part does not fit, and the cart checks again. After launch we watch the return reasons, because a cluster of returns on one part is usually a data problem with a fix.

Yes. Search takes your part numbers, original equipment numbers and, where you have interchange data, other manufacturers' numbers, and leads each one to the part you stock. Mechanics and parts professionals search that way first, so it is built in rather than added later.

As checkout rules. A core charge is added to the order and refunded when the old part comes back, oversized parts are quoted for freight instead of parcel rates, and hazardous items are offered only the shipping methods allowed to carry them. Which carriers and rules apply depends on what you sell and where you ship, so we set them with your shipping team.

Yes. Shops, dealers and fleet buyers get accounts with their own prices and catalogs, quick order by part number, reorder from history, purchase orders and terms, beside the retail store on the same catalog. Our page on B2B for distributors covers that side in more depth.

Yes. Orders, stock and prices move between the store and your ERP, and marketplace listings such as Amazon and eBay are fed from the same catalog and fitment data, so one correction fixes every channel. The integration list is written in the first step, before anything is built.

It depends mostly on the data. A focused catalog with clean supplier files can launch in a few months; a large catalog with several suppliers, B2B accounts and an ERP takes longer, because the import and the fitment data model are most of the work. The plan from the first step gives you the dates for your store.

Individually, once we have seen the catalog, the supplier data, the platform and the integrations. Fitment and data work vary more than design does, so a number given before that read would be a guess. Send us the basics and you have a scoped plan within two business days.

Yes. We start by reading the store and its data: how fitment is stored, how supplier files arrive, what the import rejects and where the wrong-part returns come from. Our project rescue service covers the takeover itself, and the fitment work follows the same plan as a new build.