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Development of Subscription-Based Food Delivery Platform with Advanced Analytics and User Engagement Features
  1. case
  2. Development of Subscription-Based Food Delivery Platform with Advanced Analytics and User Engagement Features

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Development of Subscription-Based Food Delivery Platform with Advanced Analytics and User Engagement Features

miquido.com
Food & Beverage
eCommerce
Information technology

Business Challenges in Food Delivery Market

Need to differentiate in competitive food delivery market through personalized experiences while maintaining compliance with data privacy regulations. Existing solutions require improved user engagement tools, cross-device tracking, and real-time analytics integration.

About the Client

Subscription-based food delivery service offering discounted daily lunch options from Milan restaurants through web and mobile apps

Platform Enhancement Goals

  • Create unified web and mobile platform for restaurant partnerships and order management
  • Implement advanced user behavior tracking with cookie compliance framework
  • Develop personalized meal recommendation system based on user preferences
  • Establish scalable infrastructure for handling 1000+ concurrent users

Core System Capabilities

  • Multi-platform user authentication (web/mobile)
  • Real-time order tracking and status updates
  • Restaurant partnership management dashboard
  • Personalized meal recommendation engine
  • Cross-device user behavior analytics
  • Automated subscription billing system

Technology Stack Requirements

React Native
React.js
Node.js
Cloudflare services

Third-Party System Integrations

  • Google Analytics 4
  • Payment gateways (Stripe/PayPal)
  • Social media APIs
  • Cloud storage solutions
  • Marketing automation platforms (HubSpot)

System Performance Criteria

  • 99.9% uptime SLA
  • Sub-200ms API response times
  • GDPR-compliant data handling
  • Horizontal scalability for peak loads
  • End-to-end encryption for user data

Expected Business Outcomes

Projected 40% increase in user retention through personalized recommendations, 25% reduction in operational costs via automated order management, and 300% growth in transaction volume during initial market expansion phase. Compliance framework expected to reduce legal risks by 70%.

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