AI Service Advisor Helps Double Retail Tire Sales
Across the tire and automotive industry, one of the most common challenges is inconsistency — every store, every advisor, every call handled a little differently. For one multi-location tire retailer, this inconsistency was costing real sales. Despite high phone traffic and strong brand awareness, only 12% of customer calls followed a proper sales process until our AI Service Advisor stepped in to help double tire sales.
Here’s how…
Step 1: Measuring the Process
We began by activating Atrium Call Tracking, establishing a baseline for how often a structured sales approach was being used.
The data confirmed what management suspected — engagement with a defined process was low, and performance varied widely by location.
This benchmark gave us our target: improve consistency through intelligent automation.
Step 2: Implementing the AI Service Advisor
We deployed the Atrium AI Service Advisor, designed to engage callers using a professional, data-driven sales process — 100% of the time.
Whenever a caller asked for a tire quote, price, or replacement, the AI automatically guided the conversation through a proven structure:
- Qualify the consumer via a consultative approach
- Set up the close
- Turn the lead over to a human to close
After one spring season, the comparison spoke volumes:
- Where a Human advisor initiated the sales process 20% of tire quote calls turned into actual sales
- Where our AI Service Advisor initiated the sales process 28% of tire quote calls turned into actual sales
The AI didn’t outperform humans because it was smarter or provided a better customer experience. The AI outperformed because it used a Proven Sales Process every time.
Step 3: Using AI Insights to Elevate People
When these results were presented to store managers, one remarked, “Maybe we should just let AI handle the sales calls.”
Our response:
“Wrong answer. Nobody prefers AI over a human experience.”
The real win came when teams began using the AI data to learn and adapt. Managers challenged their Service Advisors to follow the same structured sales process the AI used — step by step.
Step 4: Tracking Human Progress
Over the next few months, the same metrics were measured again:
- Round 1: Engagement increased from 12% → 27%
- Round 2: After reviewing results and coaching teams, engagement jumped to 59%
A five-fold improvement — achieved simply by showing the data, setting expectations, and providing accountability.
Step 5: The Breakthrough
Once human engagement with the sales process improved, we analyzed tire sales across all locations:
- Spring (before AI insights): 20% conversion rate (2 out of 10 callers bought tires)
- Summer (after AI insights): 40% conversion rate (4 out of 10 callers bought tires)
Result: Tire sales doubled — without adding marketing, changing pricing, or expanding staff.
The Takeaway
AI didn’t replace the human touch — it amplified it.
By:
- Measuring real behavior with Atrium Call Tracking
- Training teams through insights from the AI Service Advisor
- Reinforcing accountability with continuous data
…the retailer transformed a disjointed sales process into a culture of performance — and doubled tire sales in just one season.

The Hidden Challenge: Too Many Distractions, Too Little Focus
Even the most experienced service advisors struggle to follow “industry best practices” when every day is filled with interruptions — phones ringing, customers arriving, technicians waiting for approvals, and dozens of small fires to put out.
In this environment, consistency is nearly impossible without help.
That’s where Atrium’s AI Service Advisor delivers even more value. Beyond supporting sales, it now handles 20%–50% of incoming phone calls by managing general inquiries and transactional requests — such as:
- Appointment bookings for tire changeovers
- Oil change scheduling
- Service confirmations and reminders
By automatically resolving these lower-value calls, the AI frees up store staff to focus on what truly drives results:
- Customer experience
- In-person interactions
- High-value, revenue-generating tasks
The outcome? Less noise. More focus. And a store team that can finally perform at its full potential.
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