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Development of a QR Code-Based Mobile Ordering and Loyalty Platform for Soba Restaurants
  1. case
  2. Development of a QR Code-Based Mobile Ordering and Loyalty Platform for Soba Restaurants

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Development of a QR Code-Based Mobile Ordering and Loyalty Platform for Soba Restaurants

amela.tech
Food & Beverage
Hospitality & leisure
Retail

Operational Inefficiencies and Customer Retention Challenges

Customers faced long wait times for ordering and payment, lack of personalized engagement mechanisms, and inefficient order management during peak hours. The business required a scalable solution to differentiate itself from competitors while maintaining customer loyalty.

About the Client

A chain of restaurants specializing in Japanese noodle dishes seeking to enhance customer experience through digital innovation

Key Project Goals

  • Reduce in-restaurant ordering wait times by 70%
  • Implement personalized loyalty programs to increase repeat visits
  • Streamline order management through digital integration
  • Support 10,000+ concurrent users during peak hours
  • Enhance customer engagement through targeted promotions

Core System Functionalities

  • QR code scanning for instant menu access
  • Customizable order builder with dietary filters
  • Integrated payment gateway (credit card/PayPal)
  • Loyalty points tracking and redemption system
  • Personalized discount engine based on order history
  • Real-time order status notifications
  • Multi-language menu support

Technology Stack Requirements

Cloud-native architecture (AWS/Azure)
Progressive Web App (PWA) framework
Node.js backend with MongoDB
Firebase for real-time notifications
Stripe API for payments

System Integrations

  • Point-of-Sale (POS) system integration
  • Inventory management API
  • Customer Relationship Management (CRM) platform
  • Third-party delivery service APIs

Performance Criteria

  • 99.9% uptime SLA
  • Sub-200ms response time for critical transactions
  • Horizontal scalability for traffic spikes
  • GDPR-compliant data handling
  • Multi-factor authentication

Expected Business Outcomes

Projected 40% reduction in customer wait times, 25% increase in repeat customer rate, and 30% improvement in order accuracy. The platform will support 200% YoY growth in digital orders while maintaining 98% system availability during peak dining hours.

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