ALL AUTO REPAIR SHOPS USE CASES

Parts lookup across suppliers

Parts sourcing is a tax on every job: twenty minutes on hold, fitment guesswork, and taking the first price because checking a second supplier costs another twenty minutes. The AI checks fitment and compares price and availability across all your suppliers in one query — and drafts the order for a human tap.

A Day With This Running.

An illustrative walkthrough, not a customer case study. Actual behavior depends on your tools, data, review rules, and implementation.

1
The tech needs a part

'Front wheel bearing, 2017 Escape, 2.0L.' Typed or spoken — no tabs, no hold music.

2
Seconds later — the real comparison

Confirmed fitment, then the spread: supplier A has it for $67 delivered by 2 PM; supplier B for $89 right now; the OEM part is $112 with two-day wait. Your call, with the facts.

3
One tap orders it

The order is drafted against your account; the writer approves and it's placed. Twenty minutes of hold time became twenty seconds.

4
Across a month — the margin adds up

Always seeing the second and third price means saving $10–$40 on part after part — real margin recovered from pure friction.

What You Could Measure.

These are hypothetical before/after examples, not measured results or performance guarantees. Establish your baseline and test realistic targets in a pilot.

Time per parts lookup

▸Before: 10–20 minutes, often on hold

▸After: Under a minute

Parts cost

▸Before: First quote wins by default

▸After: Best of all suppliers — typically 5–15% saved

Jobs stalled waiting on parts answers

▸Before: Several a week

▸After: Rare — availability is known up front

Illustrative potential impact: The twenty minutes on hold with the parts counter becomes twenty seconds, and you stop overpaying because checking a second supplier was too much hassle.

Simpler Than You'd Think.

Scope integrations, training, and approval before anything goes live. Here are the starting points to discuss:

  • ▸We connect your existing supplier accounts — the same vendors, prices, and terms you have today.
  • ▸Fitment checks run against standard catalogs; anything uncertain gets flagged rather than guessed.
  • ▸Orders always get a human tap before they're placed.
PRIVATE & SELF-HOSTED AI
Design for the data boundaries you need

We can evaluate private, local, self-hosted, or hybrid deployment for this workflow. Before implementation, agree on data flows, access controls, retention, backups, and any external integrations. Private hosting alone does not guarantee privacy or regulatory compliance. Learn more about Private AI →

Want this running in your business?

Tell us a bit about your business and we'll come back with honest, plain-English ideas about whether this fits — and what it would take. No jargon. No pressure. No obligation.

No jargon, no obligation — just a conversation.