Technical Insights from the AllState Pizza Team
At AllState Pizza, we're not just making great pizza—we're building the technology that powers our operations and enhances our customers' experiences. This blog shares insights into our technical challenges, solutions, and innovations. Whether you're interested in web development, mobile apps, logistics optimization, or food service technology, you'll find valuable content here.
As AllState Pizza grew, our original ordering system started showing signs of strain. We were hitting database limits, experiencing occasional downtime during peak hours, and struggling to provide real-time order tracking. In this post, I'll share how we redesigned our architecture to handle 50x growth while improving performance and reliability.
We migrated from a monolithic architecture to microservices, implemented Redis caching, optimized our database queries, and deployed our system across multiple availability zones. The result: 99.99% uptime, sub-100ms response times, and the ability to handle traffic spikes without degradation.
Our customers wanted to know exactly where their pizza was at every moment. We implemented real-time tracking using WebSockets, allowing customers to see their delivery driver's location on a map as it updates. This reduced customer anxiety, decreased support inquiries, and improved our Net Promoter Score by 12 points.
In this post, I'll walk through our implementation, including how we handle connection management, optimize data transmission, and ensure privacy while providing real-time visibility.
Predicting demand is crucial for inventory management and staffing decisions. We built a machine learning model that analyzes historical order data, weather patterns, local events, and seasonal trends to forecast demand with 94% accuracy. This has reduced food waste by 18% and improved staff scheduling efficiency.
We used Python, scikit-learn, and TensorFlow to build our model. The system retrains daily and provides hourly demand forecasts. Learn about our feature engineering process and how we handle the unique challenges of food service demand forecasting.
Delivery efficiency directly impacts our profitability and customer satisfaction. We implemented a route optimization algorithm that considers multiple variables: order locations, traffic patterns, driver availability, and delivery time windows. The result: 23% reduction in average delivery time and 15% fuel savings.
Our system uses a combination of Dijkstra's algorithm, genetic algorithms, and real-time traffic data from Google Maps API. We process thousands of route optimizations daily, all completed within milliseconds.
Customer trust is paramount. We implement industry-leading security practices including end-to-end encryption, PCI DSS compliance, regular security audits, and penetration testing. Our systems are regularly tested by third-party security firms, and we maintain a bug bounty program to identify and address vulnerabilities.
Learn about our security architecture, how we handle sensitive data, our incident response procedures, and the tools and practices we use to keep our systems secure.
We use modern, scalable technologies to build AllState Pizza's digital infrastructure:
Frontend: React, TypeScript, Redux, Tailwind CSS
Backend: Node.js, Python, PostgreSQL, Redis
Infrastructure: AWS, Docker, Kubernetes, Terraform
Analytics: Segment, Mixpanel, Google Analytics
DevOps: GitHub Actions, CircleCI, DataDog
We're hiring talented engineers who are passionate about building scalable systems and solving interesting problems. If you're interested in working on challenges like real-time systems, machine learning, infrastructure optimization, or mobile development, we'd love to hear from you. Check out our Careers page for open positions.