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Modernization and Enhancement of Real Estate Data Analytics Platform

rubyroidlabs.com

Real estate

Business services

Retail

Legacy System Limitations and Scalability Challenges

Legacy codebase with poor architecture hindered scalability, slow data accumulation processes, and lack of advanced analytical features limited business growth potential

About the Client

B2B SaaS platform providing real estate location analysis for entrepreneurs

Platform Modernization Goals

Improve system scalability through architectural refactoring
Enhance data processing speed by 50%
Implement advanced location analytics tools
Achieve 57%+ improvement in user experience metrics
Enable enterprise-level partnership capabilities

Core System Capabilities

Interactive map with multi-variable filters and data overlays
Transportation and demographic analytics dashboard
PDF report generation with customizable parameters
Business logistics and foot traffic analysis tools
SpiderWeb competitive analysis visualization
Real-time collaborative workspace for teams

Technology Stack Requirements

Ruby on Rails

Swift

React Native

PostgreSQL

External System Integrations

Google Places API
ReCity data platform
PDF generation libraries
Real-time collaboration frameworks

System Performance Standards

Horizontal scalability
Real-time data processing
Enterprise-grade security
Cross-platform compatibility
99.9% uptime SLA

Business Transformation Outcomes

Enables data-driven real estate decisions through comprehensive location analysis, resulting in optimized investment returns and strategic partnerships with major retail networks like Target