What DoorDash Actually Does
DoorDash is a three-sided marketplace connecting customers, restaurants, and delivery drivers. Customers browse local restaurants, build an order from the menu, pay online, and track their delivery in real time. Restaurants receive orders through a dashboard or tablet app, prepare the food, and mark it ready for pickup. Drivers (Dashers) get assigned orders, pick up from the restaurant, and deliver to the customer.
The platform handles the entire transaction flow including menu management, cart and checkout, payment processing, order routing, driver dispatch, and delivery tracking. It takes a commission from restaurants and charges customers delivery and service fees. The complexity comes from coordinating three user types in real time with accurate time estimates and geographic constraints.
Core Features to Build
For the customer side, you need restaurant browsing by location and cuisine, restaurant pages with full menus, an item detail view with customisation options (size, add-ons, special instructions), a cart that handles items from a single restaurant, checkout with delivery address and payment, order tracking with status updates, and order history. For the restaurant side, you need a dashboard to receive and manage orders, menu management with categories and items, availability toggles for items, and operating hours settings.
For the driver side, you need a view of available orders to accept, navigation to restaurant and customer, status update buttons (picked up, delivered), and earnings tracking. The dispatch system that matches orders to nearby available drivers ties the three sides together.
Data Types in Bubble
This is a data-heavy build. Core types are User, Restaurant, MenuCategory, MenuItem, ItemOption, Cart, CartItem, Order, OrderItem, Driver, DeliveryAssignment, and Review. User has the standard profile fields plus a default delivery address (geographic address), saved addresses (list), and payment method reference. Add a user type field (customer, restaurant owner, driver) to manage role-based access from a single User type.
Restaurant has name, description, logo, banner image, cuisine types (list of texts), geographic address, delivery radius (number in miles), rating (number), review count, minimum order amount, delivery fee, estimated delivery time, operating hours (structured as a list of day/time ranges or separate fields per day), is open flag, and owner (User reference). Store is open as a field you toggle manually or via a scheduled workflow that checks operating hours.
MenuCategory belongs to a Restaurant with name, description, sort order, and is available flag. MenuItem belongs to a MenuCategory with name, description, price, image, is available flag, sort order, and prep time. ItemOption represents customisation groups like size or toppings with fields for name, option type (single select or multi select), is required flag, and a list of choices. Each choice has a name and price modifier (additional cost).
Cart belongs to a User and a Restaurant with a total price field. CartItem belongs to a Cart and references a MenuItem with quantity, selected options (list of texts recording the choices), special instructions text, and line item price (calculated from base price plus option modifiers times quantity). When the user adds items from a different restaurant, prompt them to clear the existing cart first since DoorDash does not support multi-restaurant orders.
Order captures the confirmed purchase with customer (User), restaurant (Restaurant), items (list of OrderItems, copied from CartItems at checkout time), subtotal, delivery fee, service fee, tax, tip, total, delivery address (geographic address), order status (placed, confirmed, preparing, ready for pickup, picked up, delivered, cancelled), placed time, estimated delivery time, and payment reference. OrderItem mirrors CartItem but is frozen at order time so menu changes do not affect historical orders.
Driver extends User with fields for vehicle type, geographic location (updated periodically), is available flag, current delivery (DeliveryAssignment reference), and total deliveries count. DeliveryAssignment links an Order to a Driver with accepted time, picked up time, delivered time, and status.
Order Flow and Workflows
The order flow is a multi-step process spanning all three user types. When a customer checks out, the workflow creates an Order from the Cart data, processes payment via Stripe, sets the order status to placed, and triggers a notification to the restaurant. The restaurant's dashboard shows new orders via a live-updating repeating group. When the restaurant confirms, the status changes to confirmed, then to preparing.
When the restaurant marks the order as ready, the dispatch workflow triggers. This searches for available Drivers within a radius of the restaurant's location, sorted by proximity. The nearest available driver gets a notification with the order details and a time window to accept. If they decline or the window expires, the system moves to the next driver. When a driver accepts, a DeliveryAssignment is created linking the driver to the order, and the order status changes to ready for pickup.
The driver picks up the order and marks it as picked up, which updates the order status and notifies the customer. The driver then delivers and marks it as delivered, completing the order. At each stage, the customer's order tracking page updates via live updates on the Order's status field.
Payment processing uses the Stripe plugin. At checkout, create a Stripe charge for the order total. Hold the restaurant's payout minus commission in your Stripe account and use Stripe Connect to transfer funds to the restaurant's connected account after delivery confirmation. Driver payouts can be batched daily or weekly via scheduled backend workflows.
Location and Delivery Logistics
Restaurant search uses the customer's delivery address to find restaurants within delivery range. Search for Restaurants where the geographic address is within X miles of the customer's address, where X is the restaurant's delivery radius. Filter out closed restaurants by constraining on the is open flag. Sort by distance, rating, or estimated delivery time based on the user's selection.
Delivery time estimation starts simple. Take the restaurant's base estimated delivery time and add a buffer based on current order volume (number of active orders at that restaurant). Display this as a range like 25 to 35 minutes. You can refine this with actual data over time but a static estimate works for launch.
Driver location tracking updates the driver's geographic location field periodically while they are on a delivery. On the customer's tracking page, show a map with a marker at the driver's location that refreshes via live updates. This gives basic real-time tracking without building a full GPS tracking system. For more precise tracking, integrate Google Maps Directions API to show the driver's route on the map.
UI Components and Layout
The customer app has a home page with a delivery address input, cuisine filters, and a grid of restaurant cards showing logo, name, cuisine, rating, delivery time, and delivery fee. The restaurant page shows the banner, info section, and a scrollable menu organised by category. Each menu item opens a popup for customisation options before adding to cart.
The cart is a slide-in panel or popup showing items with quantities, options, prices, and a checkout button. The checkout page captures delivery address, payment method, tip selection, and shows the order summary with itemised fees. The order tracking page shows the order status with a progress indicator, estimated delivery time, and a map with driver location when applicable.
The restaurant dashboard is a separate interface with an order queue (new orders, in progress, completed), menu management tools, and basic analytics (orders today, revenue this week). The driver app is a simplified mobile-friendly interface with available orders, active delivery details with navigation link, and an earnings summary.
Privacy Rules and Permissions
Restaurant menus and profiles are public. Customer orders are visible only to the customer, the restaurant, and the assigned driver. Payment details are private to the customer (Stripe handles PCI compliance). Driver locations are only visible during active deliveries to the relevant customer and restaurant. Restaurant analytics and earnings are private to the restaurant owner. Driver earnings are private to each driver.
Use the user type field to gate dashboard access. Restaurant owners see the restaurant dashboard. Drivers see the driver interface. Regular users see the customer ordering experience. Set privacy rules on Order to check that the current user is the customer, the restaurant owner, or the assigned driver.
What to Skip in V1
Skip group orders, scheduled delivery, subscription passes (DashPass), alcohol delivery with ID verification, in-app messaging between customer and driver, multi-restaurant orders, referral programmes, and merchant analytics dashboards. Also skip building a native mobile app initially. A responsive web app works for proving the concept. Focus on one geographic area with a small number of partner restaurants to validate the model before scaling.
Cost and Timeline
A DoorDash clone with three user types, menus, ordering, payments, and basic delivery tracking takes 10 to 14 weeks for an experienced Bubble developer. This is one of the most complex builds in the no-code space because of the three-sided marketplace dynamics and real-time coordination. Bubble's Team plan at $349 per month is recommended for the workflow volume. Add Stripe's standard processing fees (2.9% plus 30 cents per transaction) and Google Maps API costs ($100 to $300 per month depending on usage).
DIY first-quarter costs run $1,200 to $1,800. Hiring a developer costs $12,000 to $30,000 for a full implementation. This is a build where professional development pays for itself in avoided architectural mistakes.
DIY vs Hiring a Bubble Developer
Three-sided marketplaces are the most complex apps to build on any platform. The order flow alone involves a dozen status transitions with notifications and updates at each step. The dispatch algorithm, payment splitting, and real-time tracking add layers of backend logic that require careful workflow orchestration. If you are new to Bubble, this is not the project to learn on.
An experienced Bubble developer who has built marketplace apps will architect the order state machine correctly, implement Stripe Connect for payment splitting, and set up the driver dispatch system with proper fallback logic. The time and cost savings from avoiding a ground-up rebuild after architectural mistakes easily justify the professional development investment.
Ready to Build?
Related guides:
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Food delivery platforms need flawless order handling from day one. Talk to Goodspeed Studio about building your delivery marketplace on Bubble with proper payment processing, order management, and delivery tracking.
Ship Your Delivery Marketplace
DoorDash's three-sided marketplace is complex but buildable on Bubble with careful architecture. The order state machine, payment splitting via Stripe Connect, and driver dispatch are the critical systems to get right. Launch in one area with a few restaurants, validate the model, and expand once the operations are smooth. Talk to our Bubble developers.
Harish Malhi
Founder of Goodspeed
Harish Malhi is the founder of Goodspeed, one of the top-rated Bubble agencies globally and winner of Bubble’s Agency of the Year award in 2024. He left Google to launch his first app, Diaspo, built entirely on Bubble, which gained press coverage from the BBC, ITV and more. Since then, he has helped ship over 200 products using Bubble, Framer, n8n and more - from internal tools to full-scale SaaS platforms. Harish now leads a team that helps founders and operators replace clunky workflows with fast, flexible software without writing a line of code.
Frequently Asked Questions (FAQs)
Can Bubble handle a three-sided delivery marketplace?
Yes, but it is one of the most complex builds you can do on Bubble. The key is a clean order state machine with proper status transitions and notifications at each step across customer, restaurant, and driver interfaces.
How do I process payments with splits in Bubble?
Use Stripe Connect via plugin. Customers pay your platform, and funds are split between your commission and the restaurant's payout. Driver payouts can be processed separately via scheduled Stripe transfers.
How long does a DoorDash clone take to build?
10 to 14 weeks for an experienced Bubble developer. This includes all three user interfaces, order management, payment processing, and basic delivery tracking. Menu management and dispatch logic are the most time-intensive parts.
Can I track driver location in real time on Bubble?
Yes. Store the driver's geographic location on their user profile and update it periodically. Show a map marker on the customer's tracking page with live updates enabled. For route display, integrate Google Maps Directions API.
How do I handle restaurant menus in Bubble?
Create MenuCategory, MenuItem, and ItemOption data types. Categories group items, items have prices and images, and options handle customisations like size and toppings with price modifiers. Restaurants manage their menus through a dedicated dashboard.
How much does a DoorDash clone cost on Bubble?
DIY costs $1,200 to $1,800 for the first quarter including Bubble Team plan, Stripe fees, and Google Maps API. Hiring a developer costs $12,000 to $30,000. This is a build where professional development strongly recommended.