Food Delivery App
Full-stack food delivery platform with restaurant management, real-time order tracking, and delivery routing.
What You Should Know Before Building
Key considerations before starting this project
Skill Level Required
Intermediate to Advanced
Team Size Recommendation
1-3 developers
Estimated Development Time
2-4 months for MVP
Estimated Cost Range
$2K - $10K
Best Tech Stack Options
See recommended stack below
Can It Be Built Solo?
Yes, for the MVP version
MVP Version Recommendation
Start with core features, iterate based on feedback
Common Challenges
Authentication, data modeling, scaling
Scalability Considerations
Plan for horizontal scaling early
Monetization Options
Freemium, subscriptions, or one-time purchase
Security Considerations
Authentication, data encryption, input validation
Deployment Recommendation
Vercel for frontend, Railway or Render for backend
Disclaimer: This blueprint is a practical implementation guide based on industry standards. Technology choices, costs, and timelines should be adjusted to your project requirements.
Table of Contents
1.
what It Does
A multi-sided marketplace connecting customers with local restaurants through an on-demand delivery network. Customers browse restaurant menus, place orders, and track deliveries in real time. Restaurants manage menus, receive orders, and handle fulfillment. Delivery drivers accept gigs, navigate optimized routes, and complete deliveries. The platform orchestrates the entire lifecycle from cart to doorstep.
target Audience
Primary: busy professionals (25-45) who value convenience over cost. Secondary: college students seeking affordable group ordering. Tertiary: families ordering weekend meals. Restaurant partners: independent restaurants and small chains looking to expand delivery reach without building their own logistics.
problem Solved
Restaurants lack the infrastructure to offer reliable delivery at scale. Customers want a single app to compare menus, read reviews, and order from multiple restaurants. The platform eliminates the need for restaurants to hire drivers, manage dispatch, or build delivery tech—while giving customers price transparency, order tracking, and consistent service.
business Model
Commission-based: 15-30% per order from restaurants (tiered by volume). Delivery fees: $2.99-$7.99 dynamically priced by distance and demand. Premium subscription: $9.99/month for free delivery and priority support. Surge pricing during peak hours adds 10-25% to delivery fees. Revenue from promoted listings: restaurants pay $0.50-$2.00 per click for top placement.
market Opportunity
Global food delivery market projected at $505B by 2030 (Statista). US market alone at $150B+ with 30-35% of adults using delivery apps monthly. Steady growth driven by convenience expectations and expanding restaurant partner networks. Underserved markets: suburban areas with 5-15 restaurant options, university campuses, and late-night delivery windows.
2.
MVP Features
User Registration & Auth
Email/password, Google, and Apple sign-in with JWT tokens. Profile management with saved addresses, payment methods, and order history.
Restaurant Discovery
Browse by cuisine, rating, distance, and delivery time. Search with autocomplete. Filter by price range, dietary options (vegan, gluten-free), and open status.
Menu Viewing
Restaurant pages with item photos, descriptions, calories, customization options (toppings, sides, spice level), and allergen warnings.
Cart & Checkout
Add/remove items, quantity adjustment, special instructions field, promo code application, delivery fee calculation, and order summary.
Order Placement
Select delivery address from saved locations, choose delivery time (ASAP or scheduled), confirm payment, and submit order with estimated delivery time.
Payment Processing
Stripe integration for credit/debit cards. Support for Apple Pay and Google Pay. Split payment for group orders. Refund handling for cancelled orders.
Real-Time Order Tracking
Status updates: Confirmed → Preparing → Ready → Picked Up → On the Way → Delivered. Map view with driver location. Push notifications at each stage.
Delivery Driver Assignment
Auto-assign nearest available driver based on location, rating, and current load. Driver can accept/decline within 30 seconds. Reassignment if declined.
Restaurant Dashboard
Incoming order queue with accept/reject. Prep time estimation. Menu management (add/edit/delete items, set availability, update prices). Daily/weekly sales reports.
Order Management System
Customer order history, reorder functionality, order status for restaurants and drivers, dispute resolution workflow, and refund processing.
Advanced Features
Real-Time GPS Tracking
Live driver location on map with ETA updates every 5 seconds. Geofencing alerts when driver is 2 minutes away. Route optimization to reduce delivery time.
Scheduled Deliveries
Customers pre-order up to 7 days in advance. Restaurants receive orders with buffer time. Driver scheduling system for future deliveries.
Group Orders
Create a group order link, share via SMS/WhatsApp. Each participant adds items to a shared cart. Split bill evenly or by item. Single payment by host.
Loyalty Program
Earn 1 point per $1 spent. Tier system: Bronze (0-500), Silver (501-2000), Gold (2001+). Redeem points for delivery fee waivers or discounts. Birthday bonus points.
Push Notifications
Order status updates, promotional offers, new restaurant alerts, loyalty rewards. Firebase Cloud Messaging with topic-based targeting. Quiet hours setting.
Promo Code System
Percentage off, flat discount, free delivery, BOGO deals. Expiration dates, usage limits, minimum order requirements. First-order discounts for new users.
Future Features
AI-Powered Recommendations
Collaborative filtering based on order history. Time-of-day suggestions (breakfast at 8am, late-night snacks). Weather-based recommendations (soup on rainy days). Personalized restaurant ranking.
Voice Ordering
Alexa and Google Assistant integration. "Reorder my usual from Thai Palace." Voice-activated menu browsing. Confirmation via voice or app tap.
Autonomous Delivery
Integration with sidewalk delivery robots for short-distance orders. Drone delivery for suburban areas. Real-time tracking for autonomous vehicles.
Grocery Integration
Partner with grocery stores for on-demand grocery delivery. Shared cart for restaurant food and groceries. Subscription bundles.
White-Label Platform
Restaurants can order a branded version of the app. Custom domain, logo, and colors. Shared delivery network. Monthly SaaS fee ($99-$499).
3.
Admin
Platform operator with full system access. Manages restaurants, drivers, customers, and platform-wide settings.
- Manage all restaurant accounts (approve, suspend, deactivate)
- View all orders, payments, and financial reports
- Manage driver accounts and assignments
- Configure platform-wide settings (commission rates, delivery zones)
- Handle escalated disputes and process refunds
- Access analytics dashboard with revenue, user, and order metrics
Restaurant Manager
Manages a single restaurant location. Controls menus, handles incoming orders, and views performance metrics.
- Create, edit, and delete menu items with photos and pricing
- Accept or reject incoming orders with prep time estimates
- View daily, weekly, and monthly sales reports
- Manage restaurant profile (hours, photos, description)
- Respond to customer reviews and ratings
- Set item availability and daily specials
Delivery Driver
Picks up orders from restaurants and delivers to customers. Manages availability and earnings.
- Accept or decline delivery assignments within 30 seconds
- Update order status (picked up, on the way, delivered)
- Navigate to restaurant and customer via integrated maps
- View earnings history and payout schedule
- Update profile photo, vehicle info, and availability
- Report delivery issues and contact support
Customer
End user who browses restaurants, places orders, and tracks deliveries.
- Browse restaurants and view menus
- Place orders and manage cart
- Track order status and delivery driver location
- Rate restaurants and drivers after delivery
- Manage saved addresses, payment methods, and preferences
- Contact support and request refunds for problematic orders
Guest
Unregistered user who can browse but must sign up to place orders.
- Browse restaurants and view menus without signing in
- View restaurant ratings and reviews
- See delivery fees and estimated delivery times
- Create an account to save cart and place orders
- View promotional offers and deals
- Access help center and FAQ
4.
users
Stores customer, driver, restaurant manager, and admin accounts.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key, generated on registration |
| VARCHAR(255) | Unique email address, used for login | |
| password_hash | VARCHAR(255) | Bcrypt-hashed password, null for OAuth users |
| full_name | VARCHAR(100) | User display name |
| phone | VARCHAR(20) | Phone number for SMS notifications |
| role | ENUM("customer","driver","restaurant_manager","admin") | User role determining permissions |
| avatar_url | TEXT | Profile photo URL |
| created_at | TIMESTAMP | Account creation timestamp |
| last_login_at | TIMESTAMP | Last successful login timestamp |
restaurants
Stores restaurant partner profiles and configuration.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| owner_id | UUID | FK to users table (restaurant manager) |
| name | VARCHAR(150) | Restaurant display name |
| slug | VARCHAR(150) | URL-friendly identifier, unique |
| description | TEXT | Restaurant bio and story |
| cuisine_type | VARCHAR(100) | Primary cuisine category |
| address | TEXT | Physical restaurant address |
| latitude | DECIMAL(10,8) | Geographic latitude for map placement |
| longitude | DECIMAL(11,8) | Geographic longitude for map placement |
| phone | VARCHAR(20) | Restaurant contact number |
| logo_url | TEXT | Restaurant logo image URL |
| rating | DECIMAL(3,2) | Average rating from 0.00 to 5.00 |
| is_active | BOOLEAN | Whether restaurant is currently accepting orders |
| opening_hours | JSONB | Weekly schedule: {mon: {open: "09:00", close: "22:00"}} |
| created_at | TIMESTAMP | Registration timestamp |
menus
Groups menu items into categories within a restaurant.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| restaurant_id | UUID | FK to restaurants table |
| name | VARCHAR(100) | Category name (e.g., Appetizers, Entrees, Desserts) |
| sort_order | INTEGER | Display order on restaurant page |
| is_available | BOOLEAN | Whether entire category is currently available |
| created_at | TIMESTAMP | Creation timestamp |
menu_items
Individual food items available for order.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| menu_id | UUID | FK to menus table (category) |
| restaurant_id | UUID | FK to restaurants table for fast queries |
| name | VARCHAR(150) | Item name (e.g., Margherita Pizza) |
| description | TEXT | Item description and ingredients |
| price | DECIMAL(8,2) | Base price in USD |
| image_url | TEXT | Item photo URL |
| calories | INTEGER | Calorie count per serving |
| is_available | BOOLEAN | Whether item is currently in stock |
| customization_options | JSONB | Toppings/sides: [{name: "Size", options: [{label: "Small", price: 0}, {label: "Large", price: 3.00}]}] |
| allergens | TEXT[] | Array of allergen tags: ["gluten", "dairy"] |
| dietary_restrictions | TEXT[] | Dietary category tags: ["vegan", "vegetarian", "gluten-free", "halal", "kosher", "keto", "nut-free"] |
| prep_time_minutes | INTEGER | Estimated preparation time |
orders
Records every customer order with status tracking.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| customer_id | UUID | FK to users table (customer) |
| restaurant_id | UUID | FK to restaurants table |
| driver_id | UUID | FK to users table (driver), null until assigned |
| status | ENUM("pending","confirmed","preparing","ready","picked_up","on_the_way","delivered","cancelled") | Current order status |
| subtotal | DECIMAL(8,2) | Sum of item prices before fees |
| delivery_fee | DECIMAL(6,2) | Calculated delivery charge |
| tax | DECIMAL(6,2) | Sales tax amount |
| total | DECIMAL(8,2) | Final charge amount |
| delivery_address | TEXT | Delivery location text address |
| delivery_latitude | DECIMAL(10,8) | Delivery location latitude |
| delivery_longitude | DECIMAL(11,8) | Delivery location longitude |
| special_instructions | TEXT | Customer notes (e.g., ring doorbell, leave at door) |
| estimated_delivery_at | TIMESTAMP | Promised delivery window end |
| actual_delivery_at | TIMESTAMP | Timestamp when order was delivered |
| created_at | TIMESTAMP | Order placement timestamp |
order_items
Line items within an order, including customizations.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| order_id | UUID | FK to orders table |
| menu_item_id | UUID | FK to menu_items table |
| quantity | INTEGER | Number of this item ordered |
| unit_price | DECIMAL(8,2) | Price at time of order (snapshot) |
| customizations | JSONB | Selected options: {size: "Large", toppings: ["extra cheese"]} |
| special_instructions | TEXT | Item-specific notes (e.g., no onions) |
| created_at | TIMESTAMP | Line item creation timestamp |
deliveries
Tracks individual delivery assignments and driver activity.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| order_id | UUID | FK to orders table, one-to-one |
| driver_id | UUID | FK to users table (driver) |
| status | ENUM("assigned","heading_to_restaurant","at_restaurant","picked_up","delivering","delivered","failed") | Delivery sub-status |
| pickup_latitude | DECIMAL(10,8) | Restaurant latitude at pickup |
| pickup_longitude | DECIMAL(11,8) | Restaurant longitude at pickup |
| dropoff_latitude | DECIMAL(10,8) | Customer latitude at dropoff |
| dropoff_longitude | DECIMAL(11,8) | Customer longitude at dropoff |
| distance_km | DECIMAL(6,2) | Total delivery distance in kilometers |
| started_at | TIMESTAMP | When driver accepted the assignment |
| completed_at | TIMESTAMP | When delivery was marked complete |
| driver_notes | TEXT | Driver notes (e.g., left at front door) |
payments
Records payment transactions and refund history.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| order_id | UUID | FK to orders table |
| user_id | UUID | FK to users table (payer) |
| stripe_payment_id | VARCHAR(255) | Stripe PaymentIntent ID |
| amount | DECIMAL(8,2) | Charged amount in USD |
| currency | VARCHAR(3) | ISO currency code, default USD |
| status | ENUM("pending","succeeded","failed","refunded") | Payment processing status |
| payment_method | VARCHAR(50) | Card brand and last 4: "visa_4242" |
| refunded_amount | DECIMAL(8,2) | Amount refunded, default 0.00 |
| created_at | TIMESTAMP | Transaction timestamp |
reviews
Customer reviews and ratings for restaurants and drivers.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| order_id | UUID | FK to orders table, one review per order |
| customer_id | UUID | FK to users table (reviewer) |
| restaurant_id | UUID | FK to restaurants table |
| driver_id | UUID | FK to users table (driver reviewed) |
| rating | INTEGER | Star rating from 1 to 5 |
| comment | TEXT | Written review text |
| created_at | TIMESTAMP | Review submission timestamp |
addresses
Saved delivery addresses for customers.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| user_id | UUID | FK to users table |
| label | VARCHAR(50) | Address nickname (e.g., Home, Office) |
| street_address | TEXT | Full street address |
| apartment_unit | VARCHAR(20) | Apartment or unit number |
| city | VARCHAR(100) | City name |
| state | VARCHAR(2) | Two-letter state code |
| zip_code | VARCHAR(10) | Postal code |
| latitude | DECIMAL(10,8) | Geocoded latitude |
| longitude | DECIMAL(11,8) | Geocoded longitude |
| is_default | BOOLEAN | Whether this is the default delivery address |
| delivery_instructions | TEXT | Persistent instructions (e.g., gate code 1234) |
promo_codes
Discount codes and promotional offers.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| code | VARCHAR(50) | Unique promo code string |
| discount_type | ENUM("percentage","flat","free_delivery") | Type of discount |
| discount_value | DECIMAL(8,2) | Discount amount (percentage or flat) |
| min_order_amount | DECIMAL(8,2) | Minimum order to apply, null if none |
| max_uses | INTEGER | Total redemption limit |
| used_count | INTEGER | Current number of redemptions |
| expires_at | TIMESTAMP | Promo code expiration timestamp |
| is_active | BOOLEAN | Whether code is currently valid |
| created_at | TIMESTAMP | Creation timestamp |
loyalty_points
Tracks customer loyalty points and redemption history.
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| user_id | UUID | FK to users table |
| points_balance | INTEGER | Current available points |
| total_earned | INTEGER | Lifetime points earned |
| tier | ENUM("bronze","silver","gold") | Current loyalty tier |
| last_earned_at | TIMESTAMP | Timestamp of last point accrual |
| created_at | TIMESTAMP | Account creation timestamp |
5.
/api/v1/auth/register Register a new user account
Request
Response
/api/v1/auth/login Authenticate and receive JWT token
Request
Response
/api/v1/restaurants?lat=40.7128&lng=-74.0060&cuisine=pizza&sort=rating Search and list nearby restaurants with filters
Response
/api/v1/restaurants/:id/menu Get full menu for a restaurant
Response
/api/v1/orders Auth Required Place a new order
Request
Response
/api/v1/orders/:id Auth Required Get order details with current status
Response
/api/v1/orders/:id/track Auth Required Get real-time delivery tracking data (poll every 5s)
Response
/api/v1/payments/create-intent Auth Required Create a Stripe PaymentIntent for an order
Request
Response
/api/v1/deliveries/:id/accept Auth Required Driver accepts a delivery assignment
Response
/api/v1/deliveries/:id/status Auth Required Driver updates delivery status
Request
Response
/api/v1/reviews Auth Required Submit a review for a delivered order
Request
Response
/api/v1/addresses Auth Required Get user saved delivery addresses
Response
6.
Frontend
React Native (Expo)
Cross-platform iOS and Android from one codebase. Expo simplifies builds, OTA updates, and access to native APIs. Large ecosystem of libraries for maps, payments, and push notifications.
Frontend Navigation
React Navigation 6
Industry standard for React Native. Native stack navigator for performance, bottom tabs for main flow, deep linking support for order share links.
State Management
Redux Toolkit + RTK Query
RTK Query handles API caching and real-time order polling. Redux store for cart state, auth tokens, and user preferences. Predictable updates for complex order flows.
Backend
Node.js + Express
Non-blocking I/O ideal for real-time order updates and WebSocket connections. Express middleware ecosystem for auth, rate limiting, and validation.
Realtime
Socket.io
Bidirectional communication for order status updates, driver location streaming, and restaurant order queue. Automatic reconnection and room-based broadcasting.
Database
PostgreSQL 15
ACID compliance for financial transactions. JSONB for flexible menu customization data. PostGIS extension for geospatial queries (find nearby restaurants, distance calculations).
Cache
Redis 7
Session storage for JWT blacklisting. Rate limiting with sliding window. Caching restaurant menus and delivery zone data. Pub/Sub for real-time driver location updates.
Payments
Stripe Connect
Marketplace payments: collect from customers, split to restaurants and drivers. Built-in support for tips, refunds, and disputes. PCI compliance handled by Stripe.
Maps & Routing
Google Maps Platform
Places API for address autocomplete. Directions API for delivery route optimization. Distance Matrix for accurate delivery fee calculation. Geocoding for address validation.
Push Notifications
Firebase Cloud Messaging
Free for unlimited messages. Topic-based targeting (order updates, promotions). iOS and Android support. Integration with Expo Notifications.
File Storage
AWS S3
Store restaurant logos, menu item photos, and user avatars. CloudFront CDN for fast image delivery. Lifecycle policies to archive old order receipts.
Hosting
AWS ECS Fargate
Serverless containers for the API. Auto-scaling based on order volume. No server management. ALB for load balancing. ECR for Docker image hosting.
Auth
Firebase Auth
Social login (Google, Apple) handled client-side. JWT tokens for API auth. Phone number verification for drivers. Password reset flows.
Driver Verification
Checkr API
Background check integration for driver onboarding. Criminal history, motor vehicle records, and identity verification. Ongoing monitoring for policy compliance. Required for insurance and liability coverage.
Analytics
Mixpanel
Track user funnels: browse → cart → checkout → delivery. Cohort analysis for retention. A/B testing for promo code effectiveness. Revenue attribution.
Monitoring
Datadog
APM for tracking API response times during peak hours. Log aggregation for debugging failed payments. Alerting for delivery SLA breaches.
CI/CD
GitHub Actions
Automated testing on every PR. Expo build pipeline for iOS/Android. Database migration scripts. Staging environment deployment.
7.
8.
MVP Foundation
20 weeks- Set up monorepo with Turborepo, shared types, Docker Compose for PostgreSQL and Redis
- Build user registration, login, and JWT auth with Firebase (email, Google, Apple)
- Design and migrate database schema for users, restaurants, menus, orders, and payments
- Build restaurant listing API with PostGIS geospatial queries (nearby restaurants by lat/lng)
- Create customer app: restaurant browse, search, menu view, cart, and checkout screens
- Integrate Stripe Connect for payment processing and tips
- Build restaurant dashboard: order queue, accept/reject orders, menu CRUD, basic sales reports
- Implement order lifecycle: status progression from confirmed → delivered with state machine
- Build delivery driver assignment: auto-assign nearest driver, accept/decline flow
- Set up push notifications with Firebase Cloud Messaging for order status updates
Core Features
6-8 weeks- Implement real-time GPS tracking with Socket.io (driver location updates every 5 seconds)
- Build delivery driver app with active delivery screen, navigation integration, and earnings tracker
- Add scheduled deliveries with order queue management for future time slots
- Create loyalty points system: earn per order, tier progression, redemption at checkout
- Build promo code engine: percentage, flat, free delivery, with usage limits and expiration
- Implement group order flow: share link, multiple contributors, bill splitting
- Add order rating and review system for restaurants and drivers
- Build advanced search: filters for cuisine, price range, dietary restrictions, delivery time
- Create admin panel: restaurant approval, driver management, platform analytics, commission config
- Add delivery fee calculation using Google Maps Distance Matrix API
Growth & Scale
8-12 weeks- Implement AI-powered recommendations based on order history, time of day, and weather data
- Add A/B testing framework with Mixpanel for promo code and feature experiments
- Build restaurant analytics dashboard: peak hours, popular items, customer retention, revenue trends
- Implement surge pricing engine: dynamic delivery fees based on demand, driver availability, and weather
- Add order ahead functionality: restaurants receive orders with buffer time for prep scheduling
- Build customer support ticketing system with order-specific context and resolution workflows
- Optimize delivery routing with multi-stop batch delivery for nearby orders
- Add dark kitchen (cloud kitchen) onboarding flow for delivery-only restaurants
- Implement accessibility (WCAG 2.1 AA) across all customer-facing screens
- Performance optimization: lazy loading, image compression, API response caching with Redis TTLs
- Set up Datadog APM monitoring with alerts for API latency, error rates, and delivery SLA breaches
- Prepare App Store and Google Play submissions with screenshots, descriptions, and privacy policy
9.
Domain Setup
Register domain (e.g., foodapp.com) via Route 53 or Namecheap. Set up subdomains: api.foodapp.com (backend), dashboard.foodapp.com (restaurant admin), app.foodapp.com (customer web). Configure DNS records with proper TTL values (300s for A records, 3600s for MX).
App Store Submission
Apple Developer Account ($99/year) required for iOS. Google Play Developer Account ($25 one-time) for Android. Build with EAS Build (Expo Application Services). Submit TestFlight beta to 10-20 testers first. Required: privacy policy URL, app screenshots (6.7" and 5.5" for iOS), content rating questionnaire, and data safety form.
Backend Hosting
Deploy Express API to AWS ECS Fargate with Application Load Balancer. Use ECR for Docker images. Auto-scaling: min 2 tasks, max 10 tasks, scale at 70% CPU. RDS PostgreSQL (db.t3.medium, $50/month) with automated daily backups. ElastiCache Redis (cache.t3.small, $25/month) for sessions and caching. Estimated monthly cost: $150-400 depending on traffic.
API Keys & Services
Stripe: publishable key for mobile apps, secret key in environment variables only. Google Maps: enable Places API, Directions API, Distance Matrix API, Geocoding API ($200/month free credit). Firebase: create project, enable Auth, FCM, download google-services.json (Android) and GoogleService-Info.plist (iOS). Mixpanel: create project, get token for client-side analytics.
SSL & Security
AWS Certificate Manager for free SSL certificates on ALB. Enforce HTTPS redirects. Enable Stripe webhook signature verification. Rate limiting: 100 requests/minute per user for browse endpoints, 10/minute for payment endpoints. CORS configured for mobile app origins. Helmet.js for HTTP security headers. Input validation with Joi/Zod on all endpoints.
Monitoring & Alerting
Datadog APM for request tracing and service dependencies. CloudWatch alarms for ECS task count, RDS connections, and ALB 5xx errors. PagerDuty integration for on-call alerts. Sentry for mobile app crash reporting. Uptime Robot for external endpoint health checks. Log aggregation in CloudWatch Logs with 30-day retention.
10.
| Item | Free | Startup | Professional | Enterprise |
|---|---|---|---|---|
| Hosting (AWS ECS + ALB) | $0 (12-month free tier) | $85/mo | $350/mo | $1,500/mo |
| Database (PostgreSQL RDS) | $0 (free tier: db.t3.micro) | $50/mo (db.t3.small) | $200/mo (db.t3.medium) | $800/mo (db.r5.large) |
| Cache (Redis ElastiCache) | $0 (free tier) | $25/mo | $100/mo | $400/mo |
| Domain + DNS | $0 | $12/yr | $12/yr | $50/yr (premium domain) |
| SSL Certificate | $0 (AWS ACM) | $0 | $0 | $0 |
| Payment Processing (Stripe) | $0 + 2.9% + $0.30/txn | $30/mo (100 orders) | $400/mo (1,500 orders) | $3,000/mo (15,000 orders) |
| Google Maps API | $0 ($200 credit) | $30/mo | $200/mo | $1,500/mo |
| Push Notifications (FCM) | $0 (unlimited) | $0 | $0 | $0 |
| Email Service (SendGrid) | $0 (100/day) | $20/mo (50k) | $90/mo (100k) | $300/mo (1M) |
| File Storage (S3 + CloudFront) | $0 (5GB free) | $5/mo | $25/mo | $150/mo |
| Analytics (Mixpanel) | $0 (20k events) | $25/mo (100k) | $100/mo (1M) | $500/mo (10M) |
| Monitoring (Datadog) | $0 (5 hosts) | $30/mo | $150/mo | $600/mo |
| Expo EAS Build | $0 (30 builds/mo) | $0 | $30/mo (100 builds) | $30/mo (unlimited) |
| Developer Accounts | $0 | $124/yr (Apple + Google) | $124/yr | $124/yr |
* Costs are estimates based on typical market pricing. Actual costs may vary by region and usage.
11.
Commission per Order
Charge restaurants 15-30% of each order value. Tiered pricing: 25% for restaurants under 100 orders/month, 20% for 100-500, 15% for 500+. This is the primary revenue driver for DoorDash and Uber Eats.
Delivery Fees
Charge customers $2.99-$7.99 per delivery, dynamically priced by distance, demand, and weather. Surge pricing during rain or peak hours adds 10-25%. Revenue share: 70% to driver, 30% to platform.
Premium Restaurant Subscription
Restaurants pay $99-$499/month for premium placement, reduced commission (5% off standard rate), advanced analytics, and priority support. Similar to Uber Eats "Uber Pass" for restaurants.
Advertising & Promoted Listings
Restaurants pay $0.50-$2.00 per click for top placement in search results and category pages. Sponsored listings marked as "Promoted". Budget-based: restaurants set daily spend limits.
12.
Inaccurate ETAs and late deliveries damage trust. Peak hour congestion causes 20-30% of deliveries to exceed promised windows. Multi-stop batch deliveries increase complexity.
Mitigation: Use Google Maps Distance Matrix for real-time ETA calculations. Buffer estimated delivery times by 10-15 minutes. Implement driver penalty system for chronic lateness. Batch only orders within 0.5 miles of each other.
PCI compliance violations, payment fraud, and failed transactions. Storing card data incorrectly exposes the platform to lawsuits and fines.
Mitigation: Never store raw card data — use Stripe tokens and PaymentIntents. Stripe handles PCI DSS compliance. Enable 3D Secure for cards over $50. Implement fraud detection with Stripe Radar. Webhook signature verification for payment events.
Restaurants resist joining due to commission rates, complex setup, or poor tech literacy. High-quality menu photos and descriptions are expensive to produce.
Mitigation: Offer 30-day commission-free trial for new restaurants. Provide onboarding specialists to help set up menus. Build self-serve menu editor with photo upload. Allow restaurants to import menus from CSV. Highlight success stories of partnered restaurants.
GPS drift in urban canyons causes inaccurate driver location. Battery drain from continuous location updates. Driver app background location restrictions on iOS.
Mitigation: Use significant-change location updates instead of continuous GPS on iOS. Implement Kalman filtering for GPS noise reduction. Allow manual "I'm here" button for drivers near restaurant/customer. Cache location server-side and broadcast to customers via WebSocket.
Order volume spikes during lunch/dinner rush (6-8x normal load). WebSocket connections for tracking don't scale horizontally easily. Database connection pool exhaustion under load.
Mitigation: ECS auto-scaling with target tracking on CPU/request count. Redis pub/sub for WebSocket horizontal scaling via Socket.io-redis adapter. Connection pooling with PgBouncer (max 100 connections). Implement request queuing for non-critical operations.
Uber Eats, DoorDash, and Grubhub have massive brand recognition, restaurant networks, and funding. Customer acquisition costs in food delivery average $10-20 per user.
Mitigation: Focus on niche markets (specific cities, campus delivery, ethnic cuisine verticals). Differentiate with lower fees, better driver pay, or unique features (group ordering, scheduled delivery). Build restaurant loyalty through exclusive partnerships and lower commission rates.
13.
How do I handle order refunds and cancellations?
What payment gateways should I integrate?
How does GPS tracking work for deliveries?
How do I handle peak hour traffic and scaling?
What about food safety and quality concerns?
How do I handle driver availability and supply?
How do I calculate delivery fees?
How do I handle multi-restaurant orders?
What analytics should I track from day one?
How do I prevent fraud and abuse?
Should I launch with a single city or multiple?
How do I handle restaurant menu sync and availability?
14.
Ignoring the cold start problem
Consequence: App launches with no restaurants → customers see empty browse screen → they uninstall. No orders → restaurants see no value → they leave. Classic marketplace death spiral.
Fix: Seed the platform with 20-30 restaurants before launch. Manually onboard them and ensure menus are complete. Offer 60-day commission-free period. Run a campus or neighborhood pilot with guaranteed minimum orders. Partner with restaurants that already do delivery and offer better terms.
Overcomplicating delivery routing on day one
Consequence: Building multi-stop batch optimization, demand prediction, and dynamic pricing before you have consistent orders. 6 months of engineering on routing that handles 10 orders/day when you need 500 to matter.
Fix: Start with simple nearest-driver assignment and single-stop deliveries. Use Google Maps API for basic routing. Only add batching and optimization when you consistently have 50+ concurrent deliveries in a zone. Copy what works (DoorDash started with simple dispatch).
No restaurant analytics dashboard
Consequence: Restaurants join but can't see their sales data, popular items, or customer trends. They feel blind and can't optimize their menu. High restaurant churn within 90 days.
Fix: Build a minimal analytics dashboard in Phase 2: daily/weekly revenue, order count, average order value, top 5 items, and customer ratings. Use Chart.js for visualizations. Let restaurants export data to CSV. This becomes a retention tool and premium feature upsell opportunity.
Weak search and filtering
Consequence: Customers can't find restaurants by cuisine, dietary need, or price range. They scroll aimlessly through 100+ restaurants. Conversion drops from browse to order by 40-60%.
Fix: Implement PostGIS-powered search with distance, rating, price, and cuisine filters from MVP. Add autocomplete search with Elasticsearch or PostgreSQL full-text search. Show "Top Picks" and "Near You" sections. Track search-to-order conversion and optimize based on what converts.
Ignoring the driver experience
Consequence: Complicated driver app with too many taps. Poor navigation integration. Unclear earnings display. Drivers churn after 2 weeks because the app is frustrating to use.
Fix: Design driver app with max 3 taps for any action. Integrate Google Maps navigation directly (one tap to navigate). Show earnings clearly: per-delivery payout, daily total, weekly total. Allow easy availability toggle. Collect driver feedback weekly and ship improvements fast.
No order ETA accuracy
Consequence: Promised 25-minute delivery, actual delivery in 50 minutes. Customer complaints flood support. Restaurant blames driver, driver blames restaurant. Trust erodes on all sides.
Fix: Use machine learning for ETA prediction based on: restaurant prep time (historical average), distance, time of day, weather, and current order volume. Start with conservative estimates (add 15% buffer). Update ETA in real-time as order progresses through stages. Communicate delays proactively via push notification.
Skipping ratings and reviews
Consequence: No quality signal for restaurants or drivers. Bad restaurants stay on platform. Good restaurants get no credit. Customers can't make informed decisions. Platform feels untrustworthy.
Fix: Require rating after every delivery (simple 1-5 stars + optional comment). Show aggregate ratings on restaurant cards. Driver ratings affect assignment priority. Below 3.5 triggers review. Restaurant managers can respond to reviews. Use ratings for algorithm ranking in search results.
Building too many features for MVP
Consequence: Spending 6 months building group orders, loyalty programs, and AI recommendations before proving that people will order food through your app. Opportunity cost is massive.
Fix: MVP scope: browse, order, pay, track, deliver. That's it. No group orders, no loyalty, no promotions. Ship in 8 weeks and get 100 real orders. Learn what customers actually want from usage data and support tickets. Build Phase 2 features based on evidence, not assumptions.
15.
Documentation
React Native Docs
https://reactnative.dev
Expo Documentation
https://docs.expo.dev
Node.js Documentation
https://nodejs.org/en/docs
Express.js Guide
https://expressjs.com/en/guide/routing.html
PostgreSQL Tutorial
https://www.postgresql.org/docs/current/tutorial.html
Stripe Connect Docs
https://stripe.com/docs/connect
Google Maps Platform
https://developers.google.com/maps/documentation
Firebase Documentation
https://firebase.google.com/docs
Socket.io Documentation
https://socket.io/docs/v4/
Redis Documentation
https://redis.io/docs/
YouTube Channels
Open Source Projects
Food Ordering App (React Native)
https://github.com/nicholasgriffintn/food-ordering-app
Uber Clone (React Native)
https://github.com/kanzitelli/rn-express
Node.js Marketplace Example
https://github.com/AsyncBanana/micro-demos
Stripe React Native SDK
https://github.com/stripe/stripe-react-native
Socket.io Chat Example
https://github.com/socketio/chat-example
16.
Frontend — Restaurant Browse Screen
Backend — Order Placement API
Database — Schema Migration
Authentication — Firebase + JWT
Deployment — AWS ECS Setup
17.
Search Intent
how to build a food delivery app
Primary Keywords
Long-Tail Keywords
18.
Pre-Launch
App Store Submission
Backend
Monitoring
Post-Launch
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