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WEBSITE MIGRATION

Your Magento Site Takes 11 Seconds to Load a Wheel Bearing Page

If you're running a multi-million SKU auto parts catalog, you've watched mobile sessions die at the filter step -- Magento can't keep up.

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WEBSITE MIGRATION AT A GLANCE
  • Next.js
  • Magento GraphQL
  • Vercel
  • Elasticsearch
  • Tailwind CSS
  • Supabase
  • 95+LIGHTHOUSE AVG
  • 12+ yrsSENIOR-LED
  • Fixed feeNO SCOPE CREEP
  • 200+PROJECTS SHIPPED
CLUTCH 5.0 VERIFIED

Overview — 01

We migrate auto parts ecommerce stores from Magento to headless Next.js. Faster pages, preserved SEO, and a catalog UI built for millions of SKUs.

Magento-to-Next.js Migration

A Magento-to-Next.js migration replaces a server-rendered Magento storefront with a statically generated and server-side rendered Next.js application backed by a headless commerce API. For auto parts catalogs, this includes migrating year-make-model fitment tables, attribute sets, and layered navigation into a frontend architecture capable of rendering filtered catalog pages in under two seconds. The result is a site that handles millions of SKUs without the response-time degradation that compounds as Magento indexes grow.

The gap — 02

What is holding your current website back?

Common gaps we find in nearly every audit.

Faceted filter requests on large Magento catalogs routinely exceed 8-12 seconds on mobile, particularly on pages combining year, make, model, and part-type filters simultaneously.
Risk: Shoppers who hit a slow filter step abandon the session before reaching a product page, and Google's crawl budget gets consumed on slow, duplicate filter URLs rather than on your actual product inventory.
Magento's built-in URL rewrite system and flat catalog tables degrade under catalogs with more than 500,000 SKUs, causing index bloat, slow admin saves, and reindex jobs that block storefront performance.
Risk: Routine catalog updates — price changes, new fitment records, inventory sync — get queued behind runaway reindex processes, meaning your live site shows stale data during peak traffic windows.
Migrating away from Magento without a structured URL mapping and redirect plan causes ranking losses that take a full crawl cycle to recover from, which for large auto parts sites can mean months of suppressed organic traffic.
Risk: If fitment-specific landing pages, brand-part-type category paths, and canonical product URLs are not mapped one-to-one before DNS cutover, years of accumulated link equity transfers to 404s rather than to the new storefront.

Safeguards — 03

How we build this right

Every safeguard, built in from Day 1.

SEO Parity Audit Before Cutover

We crawl the existing Magento site, extract every indexed URL, and produce a full redirect map validated against Google Search Console data before a single DNS record changes. Nothing goes live until canonical coverage is confirmed.

Fitment Data Integrity Verification

Year-make-model relationships, part interchange records, and ACES/PIES data structures are validated against the source catalog at row level after migration. We run automated diff reports to confirm no fitment associations were dropped or remapped incorrectly during the ETL process.

Core Web Vitals Benchmarking

Every page template — PDP, category, fitment filter result, search — is load-tested against field data thresholds before launch. We target sub-2s LCP on 4G mobile for filtered catalog pages and document the results against the Magento baseline.

Scope — 04

What we build

Purpose-built features for your industry.

Headless Fitment Filter Architecture

Year-make-model filtering is rebuilt as a client-side state machine backed by pre-computed edge-cached API responses, eliminating the full-page server round trips that make Magento's layered navigation slow on deep filter combinations.

Static Generation for High-Traffic Category Pages

Brand-by-category and part-type landing pages that drive the majority of organic traffic are statically generated at build time and served from CDN, so a spike in search traffic to a specific fitment page does not degrade response times across the rest of the catalog.

Incremental Catalog Sync Pipeline

A webhook-driven sync pipeline pushes price, inventory, and fitment changes from your existing PIM or ERP into the Next.js data layer on a per-record basis, replacing the full Magento reindex cycle with targeted cache invalidations that complete in seconds.

Redirect and Canonical Management at Scale

A structured redirect layer handles the full URL surface of a large auto parts catalog — product, category, brand, fitment, and search pages — with pattern-based rules managed in code rather than a database table, keeping redirect resolution time under 5ms at the edge.

Stack — 05

Built on a modern, secure stack

Next.jsMagento GraphQLVercelElasticsearchTailwind CSSSupabaseReact Server Components

Process — 06

Our development process

From discovery to launch. Quality at every step.

01

Catalog and SEO Audit

1 week

We crawl the live Magento site, pull Search Console performance data, export the full attribute and fitment schema, and produce a migration risk report covering URL volume, redirect complexity, fitment data structure, and current Core Web Vitals baselines.

02

Data Migration and API Layer Build

2-3 weeks

Product, fitment, category, and pricing data is extracted from Magento, cleaned, and loaded into the target headless commerce backend. API endpoints for catalog, search, and fitment filtering are built and load-tested against production data volumes before any frontend work begins.

03

Next.js Storefront Development

3-4 weeks

Page templates for PDP, category, fitment filter results, search, and cart are built against the new API layer, with performance budgets enforced at the component level. The redirect map is implemented and validated against the full crawled URL set from the audit phase.

04

Staged Cutover and Post-Launch Monitoring

1-2 weeks

The new storefront runs in parallel with Magento on a staging domain until crawl validation, fitment diff reports, and load tests all pass. After DNS cutover, we monitor Search Console coverage, redirect hit rates, and Core Web Vitals field data daily for the first two weeks.

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Related resources — 07

Questions — 08

Frequently asked questions

Most auto parts migrations take 10-16 weeks, depending on catalog size and fitment data complexity. A store with under 100K SKUs and standard make/model/year filters typically wraps up in 10-12 weeks. Stores with 1M+ SKUs, VIN decoding, and B2B pricing tiers need 14-16 weeks. We run parallel workstreams -- frontend build and data migration happen simultaneously to keep the timeline tight.
No. We generate a complete URL map from your Magento store and configure 301 redirects in Next.js for every product, category, and CMS page. Static site generation preserves your page structure, and we submit updated sitemaps to Google Search Console right after go-live. Most clients see rankings stabilize within 2-3 weeks and improve within 60 days as faster Core Web Vitals kick in.
Yes -- and that's actually the headless approach we recommend. Your Magento backend keeps handling catalog management, order processing, inventory, and pricing. Next.js replaces only the frontend, pulling data through Magento's GraphQL API. Your team keeps their existing workflows. Your customers get a dramatically faster shopping experience.
We treat fitment data as a first-class migration concern -- not an afterthought. Every EAV attribute -- make, model, year, engine, part number, cross-references -- gets mapped in a custom configuration file. Automated validation scripts compare source and target databases record by record. We don't go live until fitment accuracy checks out at 100%. Post-migration, filters render client-side in React for instant results.
Magento 2 Open Source is community-maintained with no formal EOL date, but Adobe Commerce requires ongoing PHP upgrades (currently PHP 8.3) and license fees starting at $22K/year. A lot of stores find that total cost of ownership just isn't sustainable anymore. Migrating the frontend to Next.js can cut hosting costs by 70-80% while keeping -- or eventually replacing -- the Magento backend.
For mid-size auto parts stores (10K-100K SKUs), expect $18K-$50K. Enterprise catalogs with 1M+ SKUs, B2B pricing, VIN lookup, and custom integrations range from $50K-$120K. Our fixed-fee pricing covers discovery, data migration, frontend build, testing, and 30 days of post-launch support. Most clients see ROI within 12 months through lower hosting costs and better conversion rates.

More solutions — 09

Explore related industries

Need enterprise scale?

200+ employee company? Complex multi-tenant, auction, or multi-location requirement? We have a dedicated enterprise capability track.

View Enterprise Hub

Get started — 10

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