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Auto repair shops: how to build a parts-aware quote in 4 seconds, not 10 minutes

Your service writer enters a job. AI scrapes RockAuto, NAPA, and Worldpac, adds your labor and margin, returns a draft quote. Here's how it works. And why it closes 30-40% more estimates.

In an auto repair shop, the time between “customer asks for a quote” and “quote in customer’s hand” is one of the strongest predictors of whether the work closes.

Industry data is consistent: shops that quote in under 5 minutes close roughly 30–40% more estimates than shops that quote in 30+ minutes. Same job, same shop, same techs. Different speed.

And yet most shops we visit quote slowly, because the quote process is a manual chain of:

  1. Service writer looks at the vehicle
  2. Identifies needed parts
  3. Opens RockAuto or NAPA or Worldpac (or all three)
  4. Finds prices
  5. Pulls up your labor rate book
  6. Adds margin
  7. Types the quote into the shop management system
  8. Sends to customer

Steps 3–6 are where time goes. We’ve watched experienced service writers spend 8-12 minutes per quote on parts research alone. Multiply that by 20 quotes a day, and parts research is a part-time job.

We build a custom Quote Builder for Service Shops that compresses that to about 4 seconds. Here’s how it works.

The flow

The service writer interacts with one input. Usually a custom field in your shop management software (Tekmetric, AutoLeap, Shop-Ware, Mitchell, etc.), or a small internal web form.

They type the job: “2019 Civic front brakes. Pads and rotors, parking brake check.”

Behind the scenes:

  1. The system queries RockAuto’s catalog API for OEM and aftermarket front pads and rotors fitting 2019 Civic
  2. Cross-references NAPA and Worldpac (if you have wholesale accounts there)
  3. Picks the part tier the shop typically uses (your config)
  4. Pulls your labor rate book. Front brakes 2019 Civic = 2.4 hours at $145/hr
  5. Adds your margin rules (parts: 35% markup, labor: standard)
  6. Returns a draft quote

The whole thing returns in 4–6 seconds.

The service writer sees something like:

Draft quote. 2019 Civic front brakes

Parts (NAPA wholesale, 35% markup applied):

  • Front pads (Bosch QuietCast) , $89 → $120 retail
  • Front rotors (set of 2) , $138 → $186 retail
  • Sub: $306

Labor: 2.4 hrs × $145 = $348

Subtotal: $654 Tax: $42 Total: $696

[Edit] [Send] [Re-quote with OEM parts]

The service writer reviews, edits if needed, sends. Total time from customer asking to quote in customer’s hand: under 90 seconds, including the writer’s review.

Why a human still reviews

This is important. We do not auto-send quotes to customers. There’s always a human review step.

Why? Because every shop has edge cases the AI can’t anticipate:

  • The customer has a relationship and you’d rather drop margin
  • There’s a specific OEM-only requirement for warranty
  • You spotted something else in the inspection that needs to be quoted alongside
  • The customer is shopping multiple shops and you want to be aggressive

The AI handles the boring 80% of the math. The service writer handles the judgment call. That’s the right division of labor.

The integrations

Most shops have us connect to some subset of:

Parts suppliers

  • RockAuto (catalog API)
  • NAPA (wholesale account, if you have one)
  • Worldpac (PartsLogic, if you’re on it)
  • AutoZone Commercial (if applicable)
  • Local distributor catalogs via direct API or scraping

Labor times

  • Your custom labor book
  • Or Mitchell ProDemand / AllData / Identifix if you license them

Shop management

  • Tekmetric
  • AutoLeap
  • Shop-Ware
  • Mitchell Manager SE
  • Whatever you run

Communication

  • Text to customer via Twilio or your existing SMS provider
  • Email backup

What this isn’t

To be clear: we are not selling a SaaS subscription. We’re not building a “shop management system.” You keep using Tekmetric (or whatever you run) , we just add the quote-building layer on top. Your data stays in your existing tools. We just stop your service writers from spending 8 minutes on every quote.

The downstream effect: estimate follow-up

Speed is the first lever. The second is follow-up.

Most quotes that don’t close do so because the customer goes silent. They walk out to “think about it,” then never come back. A real, working follow-up sequence. Text on day 1, 3, and 7. Closes 30-40% of those silent estimates.

We almost always pair the quote builder with an estimate follow-up automation. AI handles routine replies (“Yeah, when can I come in?”). Service writer handles the harder ones (“My buddy says I can get it cheaper at Joe’s”).

Combined, shops we’ve worked with report close-rate lifts in the 30–50% range over six months. That’s not a vendor pitch. That’s what the math looks like when you remove the friction.

What it costs and when it ships

Each shop is a custom build because the parts suppliers, labor book, shop management system, and margin rules are different. Typical timeline: 7–10 business days. Flat fee, scoped on a 20-minute call.

If you run an independent or multi-bay shop and you’re losing closes to slow quoting. Or just want your service writers to spend their time talking to customers instead of clicking RockAuto , tell us the work.

We’ll tell you whether this is worth building for your specific shop, what we’d connect, and what it’d cost. On the call. No deck.

Have a process you want automated?

Or a senior person you need to staff. Tell us in plain English. We’ll tell you if it’s worth building, and what it costs.

Contact us Tell us the work
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Tell us the process. We’ll tell you if it’s worth automating, or who to staff.

One 20-minute conversation. No pitch deck, no discovery sprint, no "let’s circle back." You describe the bottleneck or the role. We tell you in plain English whether to build it, staff it, skip it, or buy a $20 SaaS instead.

Opens your email. We reply within a few hours on business days.