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Core Application Modernization for National Restaurant Chain
  1. case
  2. Core Application Modernization for National Restaurant Chain

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Core Application Modernization for National Restaurant Chain

capitalnumbers.com
Food & Beverage
Retail
Hospitality & leisure

Website Performance and Technical Debt Challenges

The existing website suffers from severe performance issues (12+ second load times) due to messy codebase, hardcoded elements, excessive conditional loops, and manual data synchronization processes. The system struggles with high query volumes (600,000+ searches daily) and lacks automated integration with third-party data sources like Yext for restaurant information.

About the Client

A national restaurant chain specializing in pizzas, burgers, salads, cocktails, and draft beer with 200+ locations and online ordering/job application capabilities

Modernization Goals

  • Reduce page load time to under 5 seconds
  • Implement automated data synchronization with third-party systems
  • Create dynamic content management for LLP/CLP pages
  • Develop modular job application and catering management systems
  • Improve scalability for handling high user traffic

Core System Requirements

  • Real-time LLP/CLP content synchronization
  • Yext API integration for restaurant data
  • Automated CRON-based data fetching
  • Distributed query handling architecture
  • Custom catering request management module
  • Dynamic CTA buttons and SEO-optimized pages
  • Interactive Mapbox location maps
  • QR code menu access integration
  • Gift card balance verification system

Technology Stack

WordPress
jQuery
HTML5
CSS3
MySQL
REST APIs

External System Integrations

  • Yext API
  • Mapbox API
  • uQR.me QR system
  • Third-party job boards

System Quality Attributes

  • Sub-5 second page load performance
  • Horizontal scalability for query handling
  • 99.9% system uptime SLA
  • Automated data synchronization reliability
  • Cross-browser compatibility

Expected Business Outcomes

The modernization will enable seamless customer experiences through faster load times and dynamic content, improve operational efficiency via automated data management, and enhance business intelligence capabilities through centralized query tracking. The modular architecture will support future scalability while maintaining compliance with restaurant industry standards.

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