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How a Toronto Mobile Mechanic Stopped Losing $3,000/Month to Missed Calls
James was losing 8-10 calls per day while working under cars. His AI assistant now books 4-5 extra jobs weekly while he focuses on repairs.
Read Case Study →See how service businesses across the GTA fixed their chaos and started growing with Avalux.
James was losing 8-10 calls per day while working under cars. His AI assistant now books 4-5 extra jobs weekly while he focuses on repairs.
Read Case Study →Elite Heating & Cooling couldn't keep up with summer demand. Their AI system now handles 60+ calls daily and books appointments while techs are in attics.
Read Case Study →A-1 Septic turned forgotten maintenance into predictable revenue. Automated reminders now book 25+ pump-outs monthly from past customers.
Read Case Study →Quick Lock Toronto was losing emergency calls to competitors. Their AI now answers at 2 AM, books the job, and texts the tech—all automatically.
Read Case Study →GT Junk Removal had scattered reviews across platforms. A systematic review request campaign brought in 150+ new 5-star reviews in 90 days.
Read Case Study →Flow Masters sent quotes and prayed. Now their automated follow-up sequence converts 35% of non-responsive quotes into booked jobs.
Read Case Study →Every business here started with a free Chaos Audit. Let's find your revenue leaks and fix them.
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