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Development of a Dining Reservation Platform with Dynamic Discounting
  1. case
  2. Development of a Dining Reservation Platform with Dynamic Discounting

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Development of a Dining Reservation Platform with Dynamic Discounting

railsware.com
Food & Beverage
Hospitality & Leisure

Challenges in Restaurant Reservation Systems

Restaurants face underutilized table capacity during off-peak hours, while diners lack incentives to explore new establishments. Existing reservation systems fail to dynamically adjust pricing or offer personalized restaurant recommendations based on user preferences.

About the Client

A Seattle-based entrepreneur launching a dining club platform that connects users with discounted restaurant reservations while enabling personalized dining experiences.

Project Objectives

  • Create a scalable reservation platform with dynamic discounting mechanics
  • Implement a recommendation engine for personalized restaurant matching
  • Ensure seamless integration with restaurant-specific reservation schedules
  • Develop a user-friendly interface for both diners and restaurant administrators

Core System Functionalities

  • User registration with social authentication (Facebook, Google)
  • Restaurant reservation system with time-slot management
  • Dynamic discount engine based on restaurant availability
  • Personalized restaurant recommendation algorithm
  • Admin dashboard for restaurant management
  • Responsive design for mobile and desktop access

Technology Stack Requirements

Ruby on Rails
jQuery
JavaScript
Sass
Haml
MySQL

Third-Party Integrations

  • Facebook API
  • Twitter API
  • Google Authentication
  • Google Maps API
  • Stripe Payment Gateway
  • Twilio SMS Service
  • Mailchimp Email Marketing
  • Mailtrap Testing

System Performance Criteria

  • High availability (99.9% uptime)
  • Scalable architecture for peak traffic handling
  • Secure payment processing with PCI compliance
  • Sub-2-second page load times
  • Cross-browser compatibility

Expected Business Impact

The platform will increase restaurant table utilization by 30-40% through dynamic pricing, boost user acquisition through personalized recommendations, and create a recurring revenue stream via reservation commissions while maintaining operational costs through automated system management.

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