AI-Powered Roofing Quote Automation System by Diana ChykhabakhAI-Powered Roofing Quote Automation System by Diana Chykhabakh

AI-Powered Roofing Quote Automation System

Diana Chykhabakh

Diana Chykhabakh

About the project

A Belgium-based roofing and renovation company receives frequent quote requests through its website. Each request previously required a manually written estimate — slow, error-prone, and hard to scale.
Delays in responses, inconsistent pricing language, and dependency on team availability were slowing down sales and reducing conversion rates.
The goal was to build a fully automated, AI-driven quoting system that delivers accurate, professional roofing estimates instantly — without increasing manual workload.

Problems / Tasks

Manual quote writing for every incoming request
Response times of 2–3 hours per lead
Inconsistent pricing logic and tone between quotes
High dependency on staff availability
No centralized system for tracking generated quotes
Limited scalability during high demand periods

Solution

I built a complete AI-powered quote automation system using Zapier, OpenAI (GPT-4o), Google Sheets, Elementor Forms, and Gmail.
The system automatically generates structured, client-ready roofing quotes in French — based on real pricing logic, materials, urgency, and surface area.

How the Automation Works

1. Lead Form Submission Clients submit roofing project details via Elementor Forms on the website.
2. Webhook Trigger Form data is instantly sent into Zapier via Webhook.
3. Data Logging All lead information is stored in Google Sheets for tracking, auditing, and backup.
4. Context Injection A predefined technical block is pulled from Google Sheets, including:
Roofing materials and pricing references
Payment terms and guarantees
Standard professional phrasing from real quotes
5. AI Quote Generation (GPT-4o) OpenAI generates a full roofing quote in French, including:
Dynamic price calculations (materials, surface size, scaffolding)
Urgency-based cost adjustments
Professional structure (sections, disclaimers, payment plans)
6. Spreadsheet Update Generated quote and timestamp are written back into the lead record.
7. Automated Email Delivery The finalized quote is instantly sent via Gmail to the sales inbox for client follow-up.

Results

⚡ Quote generation reduced from 2–3 hours to under 30 seconds
📄 100% consistency in tone, structure, and pricing logic
🤖 Fully automated process — no manual input after form submission
📈 Higher response speed and improved conversion potential
🧱 Scalable system handling more requests with the same team size
🇫🇷 All quotes generated in native, professional French

Tech Stack

Zapier — workflow automation
OpenAI (GPT-4o) — AI quote generation
Google Sheets — pricing logic, data storage
Elementor Forms — lead capture
Webhooks — real-time data transfer
Gmail — automated quote delivery

Outcome

The company now operates with a scalable, AI-driven quoting system that delivers accurate, professional roofing estimates instantly.
Manual bottlenecks were eliminated, response times improved dramatically, and the business can now grow without increasing operational load.
Like this project

Posted Jan 9, 2026

Built an AI system that generates professional roofing quotes in under 30 seconds from web forms, ensuring consistent pricing and instant responses.