Quick Fix Appliance Captured 89% of Same-Day Emergency Requests with AI

The Challenge

Quick Fix Appliance in suburban Philadelphia handled urgent repairs—refrigerators full of spoiling food, washers flooding laundry rooms, ovens dying before holidays.

"Our customers need same-day service," owner Tony Russo explained. "If we don't answer immediately, they call the next guy on Google. There is no 'we'll call you back.'"

The Situation Before

• Monthly leads: 72
• Same-day request capture: 65%
• Average response time: 45 minutes
• Dispatch efficiency: Techs often lacked diagnostic info

The Solution

We deployed an appliance repair AI agent:

1. Model Number Collection - Gets exact appliance model for parts lookup 2. Error Code Capture - Records any displayed error codes 3. Symptom Documentation - Detailed description of what's happening 4. Same-Day Scheduling - Books into available service windows immediately

The Results: First 90 Days

Metric

Before

After

Change

Monthly leads	72	118	+64%
Same-day capture	65%	89%	+37%
Response time	45 min	20 seconds	-99%
First-call fix rate	68%	81%	+19%

The Revenue Impact

• Additional jobs: 46/month
• Average ticket: $195
• Additional monthly revenue: $8,970
• Annual impact: $107,640

Agent cost: $199/month.

ROI: 45x

What Tony Says Now

"The AI captures model numbers and error codes—stuff customers often don't think to mention. My techs show up with the right parts more often. First-call fix rate went from 68% to 81%. That's happier customers and fewer return trips."