Vehicle-fitment filtering before browsing
Make, model, year, trim, applied first, since a part that does not fit the vehicle is the single most common cause of returns here.
Everything below is ours and on our servers. Nothing follows you to another site.
Who
How we work
Rebuild
AUTO PARTS · ECOMMERCE DEVELOPMENT
The single most important filter on an auto-parts store is whether a part actually fits the customer's specific vehicle, and most catalogues bury that behind a generic category browse.
A build here means solving the specific problem: vehicle-fitment filtering before browsing, oEM versus aftermarket shown clearly per SKU, and cross-referencing by part number across brands. You own the code, the server and the data once it ships.
WHAT ACTUALLY BREAKS
Five problems specific to this industry, not generic complaints with the name swapped into an identical sentence.
Make, model, year, trim, applied first, since a part that does not fit the vehicle is the single most common cause of returns here.
Customers actively search for one or the other, and a catalogue that does not distinguish them loses both kinds of buyer.
Batteries, alternators, a deposit-and-return checkout pattern standard ecommerce carts do not represent natively.
A customer searching a competitor's part number can still find the equivalent product rather than hitting a dead search result.
A distinct volume tier from retail single-item purchases that a standard consumer checkout does not support.
Each of these is handled once, in the build, rather than left to a plugin that stops getting updated the day the company that made it moves on to something else.
WHAT WE BUILD
Built together, sharing one data model, rather than bolted on as separate tools that do not talk to each other.
WHAT IT COSTS
A range, not a fixed price, because catalogue size and fitment data complexity move the number.
Third-party services, including payment processing, are billed at cost. We do not mark up other people's software.
Depending on catalogue size and fitment data complexity.
From brief to launch.
Code, server and data, from handover.
Process, timeline, and what we need from you to move a variant-heavy catalogue without losing rankings.
STRAIGHT ANSWERS
The ones that come up on almost every call in this category.
Yes. Vehicle-fitment filtering, make, model, year, trim, is applied before a customer browses a category, since a part that does not fit is the single most common cause of returns in this category.
Yes. OEM versus aftermarket status is shown clearly per SKU, since customers actively search for one or the other and a catalogue that does not distinguish them loses both kinds of buyer.
Yes. Bulk and trade or workshop account pricing runs as a distinct tier from retail single-item purchases, which a standard consumer checkout does not support.
Between
A technical review covers speed, security, how search engines see your site, and what your current setup really costs each year. Two days, no charge, no obligation, and you keep the report whether or not you hire us.
Auto parts sits alongside electronics and kids and toys, three catalogues where structured, filterable product data matters more than photography.
One tap, then your app opens with it written.