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Spare Parts & Manufacturing
Fitment SearchOEM Cross-ReferenceParts Catalog

Desarrollo de Sitio Web para Fabricantes de Repuestos

Tus Repuestos se Devuelven Porque los Compradores No Encuentran lo que Encaja

40%
Fewer Returns
With fitment verification
<200ms
Search Speed
Across 500K+ SKUs
95+
Lighthouse Score
Performance target
3x
Conversion Lift
vs. generic ecommerce
What Actually Stops Parts Returns — And What Doesn't

A buyer lands on your parts catalog. They enter a year, make, and model. Your fitment engine filters 500,000 SKUs down to the twelve that match their equipment — before they add anything to cart. That's how spare parts manufacturer websites cut return rates from 12% to under 3%. These aren't catalog sites with product filters bolted on. They're compatibility engines. VIN lookup, supersession chains, exploded diagram navigation, OEM cross-reference tables — the entire frontend is built to surface only parts that fit. Your warehouse stops processing wrong-part returns. Your support line stops fielding fitment questions. Your distributors stop calling to verify numbers. The site does the work.

Dónde fallan los proyectos

Parts return rates average 12-15% On low-ticket items, that wipes out your margin entirely — and you're still paying warehouse staff to process every one of those mistakes.
If your site doesn't let buyers search by year, make, and model, they'll find a competitor who does You lose the sale and the repeat customer.
Outdated catalogs sitting in spreadsheets and ERPs cause overselling, backorders, and frustrated dealers Channel trust erodes fast when that happens repeatedly.
Shopify and WooCommerce weren't built for complex part relationships Fitment logic needs more than a plugin — and those plugins break on updates anyway.
When exploded diagrams and technical docs aren't online, customers call your support line for every lookup Those calls cost $5-15 each. They shouldn't need to call at all.
If distributors can't find your OEM cross-references or supersession data, they'll source from whoever surfaces it first That won't be you.

Cumplimiento

Year/Make/Model Fitment Engine

Multi-level vehicle selection filters your entire catalog down to confirmed-fit parts only. Built on ACES and PIES data standards for automotive aftermarket compatibility.

VIN Decoder Integration

A buyer pastes their VIN and sees exact-match parts for their specific build — trim, engine, everything. No guesswork, and typically 30-50% fewer fitment-related returns.

OEM Cross-Reference Search

We map your part numbers to OEM numbers, competitor numbers, and superseded part numbers. Buyers find your parts regardless of what number they're searching.

Interactive Exploded Diagrams

SVG-based assembly diagrams let buyers click a component and add it straight to cart. It mirrors how technicians actually look up parts — fewer errors, faster orders.

ERP & Inventory Sync

Real-time stock feeds from your ERP or warehouse system prevent overselling. We support SAP, NetSuite, and custom API integrations with sub-minute sync intervals.

Dealer & Distributor Portal

Tiered pricing, bulk ordering, and account-specific catalogs for your B2B channel. Role-based access keeps retail and wholesale experiences completely separate.

Qué construimos

Filter half a million SKUs by application, category, brand, price, and live stock in under 200ms

Buyers only see parts that fit their equipment — fewer returns, fewer support calls, less warehouse labor on mistakes

Route discontinued part searches to current replacement numbers with full supersession history visible

Distributors find current part numbers instantly without calling your team to verify supersession chains

Process bulk distributor orders via CSV upload — instant availability check, pricing, and populated cart

High-volume orders get processed in one step instead of line-by-line email back-and-forth

Link installation guides, spec sheets, and safety data sheets directly from product pages with full-text search

Technical documentation becomes discoverable — buyers find torque specs and diagrams without picking up the phone

Route orders to the nearest stocked warehouse and display accurate per-item delivery windows

Split shipments route intelligently — customers see real lead times instead of generic 5-7 day promises

Flag potential fitment mismatches before checkout and prompt buyers to confirm vehicle details

Wrong-part purchases get caught at the verification step — you stop refunding and restocking items that never should have shipped

Nuestro proceso

01

Data Architecture & Catalog Audit

We start by mapping your product data — part numbers, fitment tables, cross-references, supersessions, and media assets. We define the schema and find the gaps before writing a single line of code.
Week 1-2
02

Fitment Engine & Search Build

Then we build the compatibility database and search infrastructure. Year/make/model filtering, VIN decode integration, and OEM cross-reference logic all get tested against your real catalog data.
Week 3-5
03

Storefront & Portal Development

Frontend development covers both retail and B2B dealer portals — exploded diagrams, product pages, cart logic, and tiered pricing, all wired to the fitment engine and your ERP.
Week 5-8
04

Integration & Data Migration

Next comes integration: ERP inventory feeds, payment processing, shipping calculators, and tax engines. We migrate your existing catalog data with full validation against fitment tables.
Week 8-10
05

Launch & Optimization

We launch in stages with real order testing. Post-launch monitoring catches search dead-ends and fitment gaps. You get 30 days of included support to tune performance and conversion.
Week 10-12
Next.jsSupabaseVercelAlgoliaShopify Storefront APIPostgreSQLCloudinary

Preguntas frecuentes

¿Cómo funciona la búsqueda de compatibilidad en un sitio web de repuestos?

La búsqueda de compatibilidad se ejecuta en una base de datos estructurada que mapea cada pieza a vehículos o equipos compatibles por año, marca, modelo, motor y trim. Cuando un comprador selecciona su vehículo, el sistema consulta esa base de datos y devuelve solo piezas confirmadas que encajan. Construimos esto usando estándares ACES/PIES para automoción o esquemas personalizados para equipos industriales.

¿Puedes integrar decodificación VIN en nuestro catálogo de repuestos?

Sí. Integramos APIs de decodificación VIN de terceros que extraen año, marca, modelo, motor, trim y fecha de producción de un VIN de 17 caracteres. Esos datos decodificados filtran automáticamente tu catálogo para coincidir exactamente con piezas, lo que elimina errores de selección y típicamente reduce devoluciones relacionadas con compatibilidad en un 30-50%.

¿Cómo manejas referencias cruzadas OEM y números de pieza obsoletos?

Construimos una tabla de referencia cruzada que mapea tus números de pieza internos a números OEM, números de competidores y números obsoletos. Busca cualquiera de ellos y el comprador llega a tu producto activo actual. El historial completo de reemplazo permanece visible a través de cadenas de obsolescencia rastreadas.

¿Qué pasa si nuestros datos de producto son desordenados o están dispersos en múltiples sistemas?

Es común. La primera fase es una auditoría de catálogo donde mapeamos tus fuentes de datos — exportaciones ERP, hojas de cálculo, feeds de proveedores — y construimos un esquema normalizado. Los scripts de migración limpian, desduplican y validan tus datos de pieza contra tablas de compatibilidad antes de que nada se publique. Terminas con datos más limpios de los que comenzaste.

¿Construyen portales B2B para distribuidores con precios escalonados?

Sí. Los portales de distribuidores y concesionarios obtienen precios de contrato, pedidos masivos basados en CSV y catálogos específicos de cuenta. Los clientes minoristas ven precios estándar en la tienda en línea pública. Ambos lados comparten el mismo motor de compatibilidad y datos de inventario.

¿Cuánto tiempo tarda en construirse un sitio web de repuestos?

La mayoría de proyectos se lanzan en 10-12 semanas. El tamaño del catálogo y la calidad de los datos son las variables principales. Un catálogo limpio de 5,000 SKU con datos de compatibilidad estructurados avanza rápidamente. Un catálogo de 100,000 SKU que necesita normalización pesada tarda más. Definimos el cronograma durante la fase de evaluación.

Spare Parts Websites from $8,000
Fixed-fee. Fitment engine included. 30-day post-launch support.
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