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Backend Performance Optimization for Global Fast-Food Chain

coderio.com

Food & Beverage

Retail

Hospitality & leisure

Operational Inefficiencies in Digital Infrastructure

Burger King faced challenges with backend process performance, including slow system response times, inefficient resource allocation, and scalability limitations in their digital infrastructure, hindering operational efficiency across global locations.

About the Client

Multinational fast-food chain specializing in flame-grilled burgers and iconic menu items with operations in 100+ countries

Strategic Optimization Goals

Enhance backend system performance and response times
Implement scalable and maintainable backend architecture
Optimize resource allocation for global operations
Enable seamless integration with existing restaurant management systems

Core System Enhancements

Distributed backend architecture optimization
Real-time performance monitoring dashboard
Automated resource scaling mechanisms
API-first integration framework for POS systems
Centralized logging and error tracking system

Technology Stack

Python

AWS

Docker

Kubernetes

PostgreSQL

System Integrations

Point-of-Sale (POS) systems
Inventory management platforms
Franchise management portals
Customer loyalty programs

Operational Requirements

99.99% system availability SLA
Sub-200ms API response times under peak load
Horizontal scalability to 10,000+ concurrent locations
GDPR-compliant data processing
Automated failover mechanisms

Business Transformation Outcomes

Projected 40% improvement in backend processing efficiency, 60% reduction in system downtime, and 300% increase in infrastructure scalability, enabling Burger King to support 24/7 global operations while reducing annual IT maintenance costs by $2.5M+.