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Our work · Retail & Commerce

Auto One

Fitment-accurate commerce across a very deep aftermarket catalogue.

-28%
Cart abandonment via behavioural retargeting
+38%
Digital contribution to sales over six months
VIN-level
Fitment accuracy on search and filtering
AORetail & Commerce
The challenge

Auto One had genuine retail strength and a customer who knew what car they drove but not what part number they needed. The automotive aftermarket is a fitment problem before it is a commerce problem: the same component varies by make, model, year, engine variant and sometimes build month, and a plausible-looking wrong part generates a return, a refund and an eroded reputation. Extending a strong physical network online meant the site had to be at least as reliable as asking someone behind the counter — while also being fast on a phone, because a meaningful share of the category is bought standing next to the vehicle.

Our approach

We built on Shopify Plus with the aftermarket’s actual logic layered over it: VIN-based search and advanced fitment filtering, so a customer converges on parts confirmed to fit rather than parts that merely match a keyword. Inventory connects through API so availability reflects reality. The interface was designed mobile-first for one-handed use in a driveway or a workshop, and deployed as a PWA for speed on poor connections. Retargeting runs on dynamic remarketing and programmatic networks keyed to the specific vehicle and part a customer viewed — in a considered category, relevance is what recovers an abandoned cart, not frequency.

Technical & delivery

Shopify Plus with custom Liquid · VIN-based search and advanced fitment filtering · inventory API integration · PWA deployment for mobile speed · dynamic remarketing and programmatic retargeting · Performance Max and Meta Advantage+ on a governed feed · GA4 dashboards through to transaction.

Commercial result
+38%
Digital contribution to sales over six months
-28%
Cart abandonment via behavioural retargeting
Governed
Media runs only on in-stock, shippable lines
Getting fitment right
VIN-level
Search resolves to parts confirmed to fit
Exclusionary
Filtering removes incompatible variants
Returns-aware
A wrong part costs more than a lost sale
Built for where it is bought
Mobile-first
One-handed use beside the vehicle
PWA
Fast on workshop and roadside connections
Contextual
Retargeting keyed to the exact vehicle viewed
Data, measurement & AI in this engagement

Performance Max and Meta Advantage+ run against a governed product feed with automated exclusion of out-of-stock and low-margin lines. Cart-abandonment sequences are triggered on behavioural signals rather than a fixed timer, and creative is matched to the exact vehicle context the customer was browsing. Search-term clustering surfaces the fitment queries the catalogue cannot yet answer, which is the most reliable roadmap for what to build next.

Where this goes next — the AI opportunity

Conversational fitment — registration or VIN in, confirmed-compatible parts out — grounded strictly in the fitment database, with an explicit refusal where the data cannot confirm a match rather than a confident guess.

Stack & channels
Shopify Plus · Performance Max · Meta Advantage+ · PWA
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