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Automotive

YMM Fitment SearchVIN Lookup50ms Queries

Développement d'un site e-commerce de pièces automobiles

Votre recherche de compatibilité perd des ventes à chaque fois qu'elle prend deux secondes

3,080

Monthly Searches

Auto parts dev + ecommerce + catalog

50ms

Fitment Query Speed

vs 500ms-2s on template platforms

$500/mo

Widget Savings

vs PartFinder/MyFitment subscriptions

500K+

SKU Capacity

Supabase PostgreSQL at scale

What Auto Parts Ecommerce Actually Requires — And Why Templates Break

Your customer selects their 2019 Honda Civic 2.0L Sport and your database fires a query across 500,000 SKUs in 48 milliseconds. Only the parts that physically fit their vehicle appear. No guessing. No wrong orders shipped to your loading dock three days later. That speed comes from ACES and PIES standards — Aftermarket Catalog Exchange Standard maps every part to specific year/make/model/engine/submodel configurations, while Product Information Exchange Standard handles part numbers, dimensions, and OEM cross-references. Your fitment engine joins these datasets in Supabase PostgreSQL with proper indexing, not a Shopify template struggling under relational queries it was never built to handle. VIN lookup decodes 17 characters into exact vehicle specs because your buyer doesn't know their engine code. Core charge automation tracks remanufactured alternators and refunds deposits when the old part ships back. Wholesale accounts see their pricing tier through Row Level Security — your retail visitors never glimpse those rates. This is database architecture work, and the $200–500/month white-label widgets your competitors rent don't own their stack. You will.

Où les projets échouent

Look, those third-party fitment widgets -- PartFinder, MyFitment, take your pick -- are instantly recognizable to anyone who's shopped for auto parts online They scream "generic." They break your brand continuity at exactly the moment a customer's deciding whether to trust you with their money. And the cost adds up fast: $200-500/month is $2,400-6,000/year, every year, indefinitely. A custom fitment engine costs $25-40K once and it's yours.

Fitment search that takes 500ms to 2 seconds is a sales killer -- full stop Auto parts shoppers aren't browsing casually. They've got three or four tabs open, they're comparing your site against a competitor's, and they know immediately when something feels slow. So if your fitment results are dragging on a template platform, you're losing those customers to whoever loads faster. It really is that simple.

No VIN lookup is a bigger problem than most store owners expect Honestly, a huge chunk of car owners couldn't tell you their engine code or exact submodel if you paid them. They know they drive a Tacoma -- that's about it. VIN lookup solves this completely. A customer enters their 17-character VIN and the system identifies their exact vehicle configuration automatically. Fewer wrong-part orders. Fewer returns. Happier customers.

If your retail customers and your wholesale accounts are seeing the same prices, you've got a real problem Installers in Chicago, fleet buyers in Dallas -- they expect wholesale pricing, and they expect it to be private. Supabase Row Level Security handles this elegantly, serving each account type its own pricing tier without ever exposing wholesale rates to a regular retail visitor.

Core charges are one of those things that sounds minor until you're processing returns manually at scale Remanufactured parts -- alternators, starters, brake calipers -- carry core charges that need refunding when the old part comes back. Without automated tracking, that process gets messy fast. Staff handle it inconsistently, refunds get missed, and customers get frustrated. Automating it isn't fancy, it's just necessary.

Conformité

Year/Make/Model Fitment Search

The cascading dropdown experience is pretty straightforward when it's built right. Customer picks a year, compatible makes appear. They pick a make, models populate. Pick a model, engines show up. Every step filters the next. By the time they're looking at products, everything on the page fits their vehicle -- no exceptions. All of it's running against ACES/PIES data in Supabase, returning results in under 50ms.

VIN Lookup

Customer types in their 17-character VIN and the system does the rest -- decodes the exact year, make, model, trim, and engine, then surfaces only the parts that fit. It works for both US and Canadian-spec vehicles, which matters more than people think given how trim packages differ across markets. The payoff is fewer wrong-part orders and a much smoother experience for customers who just don't know their submodel.

Technical Product Specifications

Product pages in auto parts need to work harder than in almost any other category. Photos and prices aren't enough. We're talking dimensions, materials, OEM part number cross-references, torque specifications, installation notes, compatibility notes -- the full picture. But here's the thing: that technical detail is exactly what converts a browser into a buyer. Someone comparing parts across three sites will trust the one that gives them real information.

Core Charge Management

Core charge tracking runs automatically. When a remanufactured part is purchased, the core charge is captured. When the customer submits their return, the refund process kicks off -- no manual intervention needed. An admin dashboard shows every pending core return at a glance, and the Stripe refund processes on confirmation. It's the kind of workflow that sounds boring until you're handling 200 core returns a month.

Wholesale Tiered Pricing

Retail customers, wholesale accounts, installer tiers -- they all get different pricing, and Supabase RLS keeps those worlds completely separate. A retail customer browsing rotors in Phoenix sees retail prices. A wholesale buyer in Atlanta logs into the same storefront and sees their contracted rates. Wholesale prices never leak to retail visitors. Plus the wholesale portal supports bulk ordering and net terms, which is what B2B buyers actually need.

Multi-Warehouse Inventory

Multi-warehouse inventory means a customer in Denver sees stock availability from your Denver warehouse, not just a generic "in stock" message. The system calculates shipping from whichever warehouse nearest to them actually has the part available. So instead of shipping from Miami when Seattle has the same part, you're cutting both cost and delivery time. Real-time stock levels make all of this possible.

Notre processus

Catalog & Fitment Data Audit

Before we write a single line of code, we go deep on your existing setup. That means reviewing your ACES/PIES data quality, understanding your catalog structure, and figuring out where your current system is breaking down. Then we define the Supabase schema -- fitment mapping tables, product catalog structure, indexes -- so the build phase has a solid foundation.

Week 1-2

Fitment Database Build

Data migration is where a lot of these projects either succeed or quietly fall apart. We import your ACES fitment data, map it carefully to your product catalog, and build the indexes that make query performance reliable. Then we test fitment search speed across vehicle configurations -- not just a handful of popular ones, but edge cases too -- before anything goes near production.

Week 3-5

Ecommerce Frontend

The frontend is where customers actually live: custom Year/Make/Model search, VIN lookup, product pages loaded with technical specs, cart, and Stripe checkout. Everything's built to match your brand -- not adapted from a widget template. And if you need a wholesale portal with tiered pricing, that gets built into the same system, not bolted on as an afterthought.

Week 6-9

Core Charges & Inventory

Phase three handles the operational layer. Core charge tracking gets wired up so refunds process automatically on return confirmation. Multi-warehouse inventory connects to real-time stock levels. Shipping calculates from whichever warehouse has the part and is closest to the customer. These aren't glamorous features, but they're what keeps the operation running without constant manual firefighting.

Week 10-11

Launch & Team Training

A launched site is only as good as the team running it. So we train your staff on catalog management -- adding parts, updating fitment data, managing ACES/PIES imports. Wholesale account creation, core charge processing, the day-to-day stuff. And we monitor performance post-launch, because 50ms fitment queries on day one should still be 50ms queries six months later when the catalog's grown.

Week 12

Next.jsSupabaseVercelStripeACES/PIES DataCloudinaryResend

Questions fréquentes

Combien coûte un site e-commerce de pièces automobiles ?

Un projet e-commerce de pièces avec recherche de compatibilité coûte 25-60K€. Ajoutez un portail gros avec tarification par niveaux et vous êtes à 40-80K€. Les vraies variables sont la taille du catalogue, le nombre d'entrepôts à intégrer, et si vous avez besoin d'une expérience B2B gros complète aux côtés du magasin détail. Les catalogues plus grands et plus d'entrepôts signifient plus de complexité -- mais l'architecture se met à l'échelle pour la gérer.

Qu'est-ce que les données ACES/PIES et comment les gérez-vous ?

ACES définit la compatibilité du véhicule -- chaque combinaison de marque, modèle, année, moteur et sous-modèle avec lequel une pièce est compatible. PIES définit ce que le produit est réellement : dimensions, numéros de pièce, matériaux, références OEM. Nous importons vos données de compatibilité ACES dans un schéma Supabase relationnel et le mappons directement à votre catalogue de produits. Ce mapping est ce qui rend la recherche de compatibilité précise. Sans lui, vous ne faites que deviner.

Pouvez-vous gérer un catalogue de 500 000+ SKU ?

Oui, et nous avons construit à cette échelle. Supabase PostgreSQL avec un indexation appropriée gère des millions de lignes sans sourciller -- les requêtes de compatibilité reviennent en moins de 50ms quel que soit la taille du catalogue. Nous avons construit des plateformes de listing à 137K articles, et un catalogue de pièces de 500K SKU utilise exactement la même architecture, juste à plus grande échelle. L'approche ne change pas, seul le volume de données le fait.

Supportez-vous les widgets de compatibilité tiers comme alternative ?

Les widgets de compatibilité tiers comme PartFinder ou MyFitment coûtent 200-500€/mois et ressemblent aux mêmes sur chaque site qui les utilise -- ce qui est beaucoup de sites. Vos clients ont vu ce widget avant. Un moteur de compatibilité personnalisé coûte 25-40K€ une fois, se regarde et se sent comme votre marque, et ne vient pas avec un abonnement qui s'accumule chaque année que vous restez en affaires.

Auto Parts Stores from $25,000

ACES/PIES fitment search. VIN lookup. Core charge tracking. Wholesale portal.

See all packages ->

Car Dealership Website Development Automotive AI Integration Dealer Group Multi-Location Website

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Year/make/model fitment, VIN lookup, core charges, and wholesale pricing. Quote in 24 hours.

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