Melbourne tradie ai
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How a Melbourne Tradie Used AI to Win More Jobs and Cut Quote Time in Half

Composite case study based on real patterns from Australian tradespeople using AI. Names are illustrative.

Dave is a plumber based in Melbourne’s eastern suburbs. Sole operator, occasionally subcontracts. Good reputation, mostly word-of-mouth. His problem: he was drowning in the admin side: quotes took forever to write, Google reviews went unanswered for weeks, and his job management system was basically a notes app. He’s been using AI for six months. Here’s what changed.

The Quote Problem

Dave was spending 30–45 minutes writing each quote. Not because the work was complicated: because he hated writing and kept second-guessing the wording. He’d have the numbers in five minutes but spend another 40 on the actual document.

His fix: a ChatGPT prompt template saved to his phone. He fills in the job details (customer name, location, scope, materials, price) and the prompt generates a professional quote in his voice. He checks the numbers, adds his ABN and payment terms, and sends it as a PDF. Total time: 8 minutes instead of 40.

“Write a professional quote for a plumbing job in Melbourne. Customer: [name]. Job: [description]. Total price: $[amount] inc GST. Materials included: [list]. Timeline: [timeframe]. My business name is [name], ABN [number]. Tone: professional but friendly. Include a brief scope of works, what’s included, payment terms (50% deposit, balance on completion).”

Google Reviews

Dave had 23 Google reviews with 11 unanswered. He spent one Sunday afternoon with ChatGPT writing responses to all 11, then set up a reminder to respond to new reviews within 48 hours using the same prompt approach. His Google rating went from 4.2 to 4.6 within three months: partly from new reviews from happy customers he proactively followed up.

Follow-Up Messages

The biggest win: ChatGPT-drafted follow-up messages. When a quote goes out, Dave sends a WhatsApp follow-up 48 hours later if he hasn’t heard back. Short, friendly, not pushy. He drafts them in ChatGPT and sends manually: takes 2 minutes. His quote conversion rate improved noticeably because he was actually following up consistently rather than forgetting.

Cost and Time

  • ChatGPT Plus: ~AU$28/mo
  • Time saved on quotes: ~3 hours/week
  • New jobs won from better follow-up: “at least 2–3 extra jobs a month”

At Dave’s hourly rate, the time saving alone pays for ChatGPT many times over. The extra jobs from better follow-up are harder to measure but clearly real.

What He Tried That Didn’t Work

Zapier automation for review responses: too much setup for a sole operator who just wanted to keep it simple. AI-generated social media content: he found it felt inauthentic for his trade and stopped. The lesson: use AI for the tasks that genuinely save you time; ignore the rest.

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