How to Build a Food Delivery App Like DoorDash: Features, Cost & Tech Stack

The Three-Sided Marketplace Problem

Unlike Uber (two sides: rider and driver), food delivery is three-sided: customer, restaurant, and delivery driver. Each party needs their own dedicated app or interface, and your backend must orchestrate all three simultaneously. When a customer places an order:

1. Customer app confirms order and shows estimated delivery time
2. Restaurant app receives order alert and confirms preparation time
3. Backend calculates when to dispatch a driver based on prep time + distance
4. Driver app receives pickup request when food is nearly ready
5. All three parties track the same order in real time

Getting this coordination right is the core engineering challenge.

What to Build: Three Apps + Admin

Customer App

• Restaurant discovery with filters (cuisine, rating, distance, delivery time)
• Menu browsing with photos, descriptions, and customisations
• Cart and checkout with saved addresses
• Real-time order tracking with live driver location
• Order history and reordering
• Reviews and ratings
• Promotions and loyalty programme

Restaurant Dashboard (web or tablet app)

• Incoming order notifications with accept/reject
• Order management queue with preparation timer
• Menu management (items, prices, availability toggles)
• Opening hours and temporary closure
• Revenue reports and analytics

Driver App

• Online/offline toggle with earnings summary
• Incoming delivery requests with restaurant location and payout
• Navigation to restaurant then customer
• Proof of delivery (photo or signature)
• Earnings history

Admin Panel

• Restaurant onboarding and approval
• Commission and fee configuration
• Delivery zone management
• Surge pricing rules
• Dispute resolution

Technology Stack

Component	Technology
Mobile apps	React Native (3 apps sharing core logic)
Backend API	Node.js + Express
Real-time updates	Firebase Realtime Database or Socket.io
Database	PostgreSQL + Redis
Maps and routing	Google Maps Platform (Routes API)
Payments	Stripe Connect (marketplace payments)
Notifications	Firebase Cloud Messaging
Cloud	AWS

Key Technical Decisions

Dispatch algorithm: When to assign a driver is as important as which driver. Dispatching too early means the driver waits at the restaurant; too late means the food goes cold. You need a preparation time estimation model per restaurant.

Dynamic delivery fee: Calculate based on distance, current driver supply in the zone, weather, and time of day.

Real-time fleet visibility: Use a geospatial data structure (PostGIS or Redis Geo) to efficiently query the nearest available drivers within a radius.

Cost Breakdown

Phase	Duration	Cost
Discovery and design	3–4 weeks	$10,000–$18,000
MVP (customer + restaurant apps)	5–7 months	$80,000–$160,000
Full product with driver app	9–14 months	$200,000–$350,000
Monthly infrastructure	Ongoing	$2,000–$8,000/month

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