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Automotive
YMM Fitment SearchVIN Lookup50ms Queries

自動車部品・アフターマーケットEコマースウェブサイト開発

フィットメント検索が2秒かかるたびに売上を失っている

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.

プロジェクトが失敗する理由

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.

コンプライアンス

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.

私たちのプロセス

01

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
02

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
03

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
04

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
05

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

よくある質問

自動車部品Eコマースサイトの費用はいくらですか？

フィットメント検索を備えた部品Eコマースの構築には25,000～60,000ドルかかります。階層別価格設定を備えた卸売ポータルを追加すると、40,000～80,000ドルになります。実際の変数はカタログサイズ、統合する倉庫の数、小売店の横で実行する完全なB2B卸売体験が必要かどうかです。カタログが大きく倉庫が多いほど複雑性が増しますが、アーキテクチャはそれに対応できるようにスケールします。

ACES/PIESデータとは何で、どのように処理しますか？

ACESは車両フィットメント——メーカー、モデル、年式、エンジン、部品が適合するすべてのサブモデルの組み合わせを定義します。PIESは製品が実際に何であるかを定義します。寸法、部品番号、材料、OEM相互参照。ACESフィットメントデータをリレーショナルSupabaseスキーマにインポートし、製品カタログに直接マッピングします。そのマッピングが正確なフィットメント検索を機能させるものです。それなしでは、推測しているだけです。

500,000以上のSKUのカタログに対応できますか？

はい、その規模で構築してきました。適切なインデックスを持つSupabase PostgreSQLは数百万行を簡単に処理します——カタログサイズに関係なくフィットメントクエリは50ms以下で返ります。137,000アイテムのリスティングプラットフォームで構築し、500,000 SKU部品カタログは同じアーキテクチャを使用します。データ量が異なるだけです。アプローチは変わりません。

サードパーティ製フィットメントウィジェットはサポートしていますか？

PartFinderやMyFitmentのようなサードパーティ製フィットメントウィジェットは月額200～500ドルかかり、それを使用するすべてのサイトで同じように見えます——多くのサイトがそれを使用しています。顧客はそのウィジェットを以前見たことがあります。カスタム構築のフィットメントエンジンは1回限りで25,000～40,000ドルかかり、あなたのブランドのように見え、感じられ、毎年ビジネスを続ける限り複利される月額購読が付属していません。

Auto Parts Stores from $25,000
ACES/PIES fitment search. VIN lookup. Core charge tracking. Wholesale portal.
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Car Dealership Website DevelopmentAutomotive AI IntegrationDealer 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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