Auto Repair Shop
An assumed auto repair shop with 3 bays and one service advisor who writes estimates, talks to customers at the counter, and answers the phone. In the morning rush and at pickup time, calls go unanswered.
Every number on this page is an assumption we chose, then arithmetic. None of it was measured from a customer. Change the inputs and the result changes with them.
Industry Context
In a small shop the service advisor is often the only person who answers the phone, and the same person is writing estimates and explaining repairs at the counter. Calls that come in during the morning rush or at pickup time ring out. This example assumes an average repair order of $650 and that 55% of answered calls turn into a job.
The Problem
The service advisor is stretched thin — juggling walk-in customers, writing estimates, coordinating with mechanics, and answering the phone. During the morning rush (7–10 AM) and end-of-day pickups (4–6 PM), calls stack up and go unanswered. A customer calling about brakes, a check engine light, or an oil change can call the next shop instead.
What VoiceCharm Does Here
- Answers the calls the service advisor can't get to
- Asks what the car needs (oil change, brakes, engine light) and whatever else you choose
- Emails every lead with the caller's name, number, answers and a summary
- Marks breakdown and tow-in calls URGENT in the email
- Can book drop-offs onto Google Calendar if you turn booking on
Before & After in This Example
Without VoiceCharm
With VoiceCharm
ROI Calculation
Assumptions
What the Arithmetic Gives
Cumulative Gain in This Example
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