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Development of a Keyless Mobile Payment Platform for Restaurants with Integrated Analytics
  1. case
  2. Development of a Keyless Mobile Payment Platform for Restaurants with Integrated Analytics

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Development of a Keyless Mobile Payment Platform for Restaurants with Integrated Analytics

diffco.us
Food & Beverage
Retail
Technology

Challenges in Traditional Restaurant Payment Systems

Restaurants face operational inefficiencies due to manual billing processes, long wait times for customers during payment, and limited access to real-time customer behavior analytics. Existing systems require physical interaction with staff, leading to potential revenue loss during peak hours and reduced customer satisfaction.

About the Client

A tech-driven restaurant solutions provider aiming to modernize dining experiences through mobile-first payment systems and customer engagement tools.

Project Goals for Mobile Payment Platform

  • Implement keyless NFC-based table registration to eliminate manual billing requests
  • Enable instant payment via WhatsApp/SMS to reduce customer wait times
  • Provide restaurant owners with actionable insights through transaction analytics
  • Support seamless integration with existing POS systems and payment gateways

Core Platform Capabilities

  • NFC-enabled table registration and payment initiation
  • Multi-channel payment options (WhatsApp, SMS, in-app wallet)
  • Automated bill splitting and tip calculation
  • Real-time transaction dashboard for restaurant managers
  • Customer loyalty program integration

Technology Stack Requirements

AWS Cloud Infrastructure
NFC API Integration
Twilio for SMS/WhatsApp
React Native for Cross-Platform Mobile Apps

Third-Party System Integrations

  • Payment Gateways (Stripe/PayPal)
  • POS Systems (Toast/Square)
  • Google Analytics for Firebase

Performance and Security Standards

  • PCI-DSS Compliance
  • 99.9% Uptime SLA
  • Sub-200ms Transaction Latency
  • Role-Based Access Control

Expected Business Impact

Implementation of this platform is projected to reduce average payment processing time by 70%, increase table turnover rate by 40% during peak hours, and provide actionable customer preference data to drive targeted marketing campaigns. Restaurants adopting the solution could see a 15-20% increase in customer retention through enhanced service efficiency.

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