Fitment discovery
Year/Make/Model and Year/Make/Engine flows — down to individual year and half-year fitment.
Join Fyresite for a live build of Parts Intelligence — Year/Make/Model discovery, advanced fitment logic, and instant Algolia-powered search, all maintainable inside Shopify.
A shopper who can't confirm a part fits their exact Year / Make / Model won't buy it — they'll bounce. Bolt-on search apps choke on real fitment data, and most teams assume Shopify simply can't handle it.
This session shows the opposite: a maintainable fitment experience, native to Shopify, with sub-second discovery powered by Algolia.
Everything below runs in a real Shopify storefront. No slideware — Paul builds the flow in front of you.
Year/Make/Model and Year/Make/Engine flows — down to individual year and half-year fitment.
Non-mutually-exclusive fitment groups, SKU/variant-level logic, and up to 7 nested fitment dimensions.
Product results, collection and sub-collection views, and B2B rapid-order style lists.
PDP fitment overrides and cart validation driven directly by your fitment data.
Vehicle context follows the shopper across the entire journey — no re-selecting.
Optionally store VIN as line-item properties and pass it through checkout and notifications.
Paul takes a real storefront from an empty search box to a validated checkout — the path your customers actually walk.
Shopper picks Year / Make / Model — or restores a saved vehicle from My Garage.
Algolia returns matching parts instantly, with facets that respect every fitment rule.
Product pages confirm the fit, override edge cases, and capture VIN when needed.
Cart validates fitment and persists vehicle + VIN straight through checkout.
A tight, demo-first hour with time for live questions at the end.
Parts Intelligence + Algolia architecture
Fitment → search/facets → PDP validation → cart/checkout
Led by the Fyresite team that ships fitment commerce, with platform and search perspective from Shopify and Algolia.
Executive sponsor & host
Lead developer · demo lead
Platform & ecosystem perspective
Search, faceting & collection relevance
Whether you're scoping a replatform or fixing a search that can't keep up, you'll leave knowing exactly what's possible.
Fyresite is a product and engineering studio that builds Parts Intelligence — maintainable fitment commerce for complex catalogs on Shopify.
Shopify is the best commerce platform for scale on the planet. The world's most innovative companies choose Shopify for everything from online to retail to wholesale to social commerce.
Algolia powers fast, relevant search and discovery — instant results, faceted filtering, and optimized sorting across catalogs of any size.
A sample of complex-catalog stores Fyresite has shipped on Shopify.
AUTO PARTS · MAGENTO → SHOPIFY PLUS
Free live session + recording sent to every registrant
Yes — it's completely free to attend. Register with your work email and we'll send the join link.
Absolutely. Every registrant gets the recording and referenced resources by email within 15 minutes of the session ending.
No. The first half is for merchants and digital leaders; the live demo goes deeper for developers. Both audiences leave with something useful.
Yes. We'll show why Algolia is our recommended search layer for fitment, and the architecture principles apply regardless of where you are today.
Please do — the final segment is dedicated Q&A with the full panel from Fyresite, Shopify and Algolia.