AI search for a live 10,000+ SKU parts catalog
Arcturus Consulting built AI Parts Finder because a real parts store had a familiar problem: customers needed help finding the right SKU, but they rarely knew the manufacturer name, part number, or exact product wording.
The catalog problem
Traditional keyword search works when the buyer knows the exact words in the product title. Parts buyers often do not. They search by equipment, symptom, shape, fitment, or a half-remembered description from a repair job.
What AI Parts Finder changed
Before
- Customers searched for fuzzy descriptions and got weak results.
- Support had to answer repeated "do you carry this?" questions.
- Useful inventory stayed buried when shoppers used the wrong wording.
After
- Customers ask in natural language and receive specific product matches.
- The search experience understands fitment clues, product categories, and alternate terms.
- The store can surface exact SKUs without replacing the ecommerce platform.
Example customer question: "I need the adjustable steam vent for an old radiator, the number one size."
AI Parts Finder result: Vent-Rite #1 Adjustable Air Valve with SKU, availability, and a path to purchase.
Why this matters for parts retailers
Parts ecommerce is not only a search problem. It is a translation problem. The buyer describes a repair need, equipment model, or symptom. The catalog speaks in SKUs, brands, specifications, and manufacturer naming. AI Parts Finder bridges that gap so more qualified shoppers stay on the store instead of sending an email or leaving for a marketplace.
Best fit: parts retailers, distributors, wholesalers, and ecommerce agencies working with large catalogs where product discovery depends on fitment or technical wording.
See it on a catalog like yours
Bring a sample catalog, product feed, or a handful of hard customer searches. We will show how AI Parts Finder can map plain-English buying intent to the products you already sell.