Limbani Softwares

Visualizing The Prospects

How We Helped a US Roofing Company Reduce Shingle Identification Time by 90% with AI

RoofPair is an AI-powered roofing platform built to make roofing product identification faster, easier, and far more reliable for contractors and roofing professionals. The platform helps users identify shingles from photos, compare roofing products, access technical documents, and manage workflows from one connected system. Everything works across mobile, web, and admin platforms, making it easier for teams to stay organized and make faster decisions on the job.

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  • Industry
    Roofing & Construction
  • Project Type
    AI-Powered Roofing Platform
  • Platforms
    iOS, Android, Web
  • Services Provided
    AI App Development, Mobile App Development, Web Development, UI/UX Design

The Solution

AI-powered roofing platform for shingle identification, product matching, comparisons, reports, and workflow management.

AI-Based Shingle Identification

Users can upload roofing images directly from the app to identify shingles within seconds. This dramatically reduces the time spent on manual identification.

Smart Product Recommendations

The platform recommends similar and alternative roofing products automatically based on identified shingles and user searches.

Roofing Product Visualizer

Users can visualize roofing products and compare styles before making decisions on replacements or repairs.

Searchable Product Database

We built a centralized roofing product database that includes technical specifications, manuals, PDFs, and supporting documents.

Product Comparison Tools

Users can compare roofing products side-by-side to evaluate the best options faster.

Saved Collections & Bookmarks

Contractors can save products, organize collections, and quickly access frequently used roofing references.

Reports & Export Functionality

The platform supports report generation for inspections, insurance workflows, and project documentation.

Subscription & Pricing System

We also implemented a subscription-based pricing model that supports premium access and long-term scalability for the platform.

Technologies & Tools

Built with React Native, Expo, TypeScript, Firebase, REST APIs, and a custom AI/ML model for roofing identification across mobile, web, and admin platforms.

react.js
node.js
google firebase
flutter
open ai
custom ai/ml model

Development Process

The development process involved the following stages:

Discovery & Planning for AI-Based Roofing Product Identification Workflows

Discovery & Planning for AI-Based Roofing Product Identification Workflows

AI Workflow Strategy for Shingle Detection, Matching & Recommendations

AI Workflow Strategy for Shingle Detection, Matching & Recommendations

UX & Interface Design for Roofing Contractors and Field Professionals

UX & Interface Design for Roofing Contractors and Field Professionals

Backend & AI Development for Roofing Product Data Management System

Backend & AI Development for Roofing Product Data Management System

Cross-Platform Mobile, Web & Admin Platform Development & Integration

Cross-Platform Mobile, Web & Admin Platform Development & Integration

Testing, Performance Optimization & Final Multi-Platform Deployment

Testing, Performance Optimization & Final Multi-Platform Deployment