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Case Study · E-commerce

An AI parts finder that delivers fast, accurate results. No part number needed.

Generative AI search rebuild over 20,000+ products. Voice and text. Six-month ROI on a six-figure savings stream.

+30%

Sales lift

$100K+

Annual content savings

20,000+

Products indexed

The challenge

Customers couldn't find parts without exact part numbers. Bounce rate was high. Catalog growth outpaced taxonomy maintenance.

The approach

Rebuilt search around a generative AI model trained on the catalog plus historical query patterns. Added voice input on mobile.

The outcome

Sales lifted 30% in 90 days. Annual content-production savings exceed $100K via auto-generated product descriptions.

OST rebuilt our search and turned it into a sales engine. Customers find parts they couldn't find before, and our content team's workload is cut in half.

Wild Boar ATV team

E-commerce · Active retainer

The catalog at scale

Twelve rims out of thousands.

The reason a smart search matters: the catalog is dense, fitments are technical, and customers know what they want without knowing the SKU. Every product below is live on wildboaratvparts.com today and indexed by the AI search we built.

Live products, served from the same catalog the AI parts finder indexes.

Tech stack

  • GenAI
  • Vector search
  • Headless commerce
  • Node.js
  • React
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