Project Overview
A rapidly growing F&B startup needed a robust, scalable platform to manage multi-city food delivery operations. Their initial MVP struggled with high peak-hour latency and inefficient delivery routing, leading to customer dissatisfaction.
GryphalCode developed a comprehensive ecosystem including customer mobile apps (iOS & Android), a delivery partner app, and a powerful vendor dashboard. We integrated an AI-driven routing engine to optimize delivery paths in real-time.
The Challenge
- High delivery times during peak hours.
- Inaccurate real-time tracking for customers.
- Scaling issues with the monolithic backend.
The Solution
We migrated the system to a serverless architecture on AWS, ensuring 99.9% uptime. The AI routing engine was built using Google Maps API and custom algorithms to factor in traffic, weather, and kitchen preparation times.
Key Results
The platform now handles 50,000+ daily orders with a 31% improvement in delivery speed . The apps maintain a 4.8-star rating on the App Store with seamless real-time tracking.
Food Delivery Tech Q&A
How do you handle real-time tracking?
We use WebSockets and Firebase Realtime Database to provide sub-second latency for live rider location updates, ensuring customers have a "Live-View" experience throughout the delivery lifecycle.
Can the platform handle extreme traffic spikes?
Yes. By using auto-scaling groups on AWS and a distributed Redis caching layer, we ensure the platform remains responsive during peak hours like lunch and dinner surges.