AI order dispatch and batching
Assigns orders to riders with batching by route and prep time, maximizing drops per hour without breaking promised ETAs.
AI-Built UberEats Clone
UberEats Clone App Development
An AI-first build of every food-delivery mechanic: dispatch that batches routes intelligently, live tracking customers trust, and restaurant tooling that keeps kitchens and couriers in sync. Four synced panels ship white-label with 100% source code, owned by you from day one. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks.
Launch-ready from
$2,799
- Live in 6 working days
- 60 days support
- Complete source codes
- Complete rebranding
- White-labeling
- 1 year free updates
Synced panels
Almost-ready AI launch
Custom build
Source-code ownership
Trusted by the brands we build for
Moxace food delivery platforms by the numbers
Canonical facts, not promises.
- /012010Operating Since15+ years shipping apps
- /029,000+Projects Deliveredacross 35+ industries
- /033,900+Apps Publishedin 25+ countries
- /0490+Ready Platforms in Cataloglive in production
overview
What is an UberEats-style food delivery platform?
An UberEats-style platform is an on-demand food marketplace: customers order from restaurant catalogs, riders accept and deliver, and the platform earns commission and delivery fees on every completed order.
Its purpose is owning the food-ordering layer of a market. Restaurants supply the demand magnet, and the operator's asset is dispatch intelligence, order liquidity, and the fee engine that prices delivery fairly for all three sides. Repeat order frequency is the highest of any delivery category, which is why food is usually the first marketplace a region gets.
At a high level the platform includes a customer app with restaurant browsing and live tracking, a rider app with batches and earnings, a restaurant dashboard for catalogs and order fulfillment, and an admin panel over zones, fees, riders, and dispatch rules.
Market context, hedged: food delivery remains one of the highest-frequency e-commerce categories globally, though competition and margins vary sharply by market, and commentary consistently notes that order density decides profitability. We make no claims about any specific market's size; we build the platform so its economics are visible and tunable from day one.
Main features of our food delivery platform
The headline capabilities, at product level.
Live order tracking
Customers watch their order move from kitchen to door with honest ETAs from rider telemetry, the trust feature of the category.
Rich restaurant catalogs
Menus with modifiers, photos, availability, and prep times, managed by restaurants and moderated centrally.
Scheduled and group ordering
Order-ahead windows and group carts for offices and families, with capacity planned against rider supply.
Surge and zone pricing
Dynamic delivery fees and rider incentives per zone and hour, configured and previewed from the admin panel.
Ratings, tipping, and refunds
Two-sided ratings with tipping, plus evidence-based refund workflows that protect both restaurants and customers.
Rider earnings and payouts
Per-drop earnings, tips, bonuses, and scheduled payouts with statements, so rider trust compounds.
Loyalty and promo engine
Points wallets, free-delivery subscriptions, and campaign promos reconciled in the same ledger as payments.
Who should launch a food delivery platform?
What these buyers share: a local market they understand and the desire to own the ordering layer in it.
City and regional founders
Building the default food app for a market the giants serve thinly. The AI dispatch core runs the hardest operational part while you sign restaurants.
Restaurant chains
Owning delivery for their locations and selling surplus capacity to neighboring restaurants on the same fleet.
Cloud kitchen operators
Pairing kitchen supply with owned distribution, the full stack of the category in one business.
Super-app builders
Adding the highest-frequency vertical first, with dispatch and wallet infrastructure reused across future categories.
Agencies and resellers
Deploying the white-label build for clients across cities, every deployment a standalone business on 100% source code.
Feature panels of your food delivery platform
Four products operating as one system. Every panel ships in every build.
Customer app
Where orders start and habits form.
- ✓Restaurant browsing with filters
- ✓Menu modifiers and customization
- ✓Live order tracking with ETAs
- ✓Scheduled and group orders
- ✓Promo codes and loyalty wallet
- ✓Ratings and tipping
- ✓Order-issue reporting
- ✓Push notifications
- ✓Order history and reorder
Rider app
The earning side of the marketplace.
- ✓Order offers with pay preview
- ✓Batch acceptance and routing
- ✓Pickup and drop check-ins
- ✓Proof-of-delivery capture
- ✓Earnings dashboard per shift
- ✓Demand heatmaps
- ✓Payout schedule and statements
- ✓Shift scheduling
Restaurant dashboard
For kitchens fulfilling orders.
- ✓Menu and modifier management
- ✓Order queue with prep times
- ✓Item availability toggles
- ✓Rider arrival tracking
- ✓Issue and refund resolution
- ✓Sales and payout reports
- ✓Store hours and pausing
Admin panel
Run the marketplace from one console.
- ✓Zone and fee configuration
- ✓AI dispatch tuning and monitoring
- ✓Rider verification and management
- ✓Restaurant onboarding and contracts
- ✓Surge and incentive controls
- ✓Dispute resolution queue
- ✓Revenue reporting
- ✓CSV exports
The admin control plane: running the marketplace as an operator
Four consoles, one view of riders, restaurants, and money.
Dispatch console
AI dispatch tuning and monitoring with batching oversight, zone and fee configuration, and live dashboards across active riders.
Supply console
Rider verification and management with onboarding ladders, restaurant onboarding and contracts, and surge and incentive controls per zone.
Trust console
The dispute resolution queue with evidence from the order ledger, evidence-based refund workflows, and quality reporting on prep and delivery times.
Money console
Revenue reporting across commissions, fees, and surge, rider payout reconciliation, restaurant settlement tracking, and CSV exports for finance.
How an order runs: craving to doorstep
The journey every stakeholder repeats, engineered end to end.
- 01
Browse and order
The customer picks a restaurant, customizes items, and checks out with a delivery fee priced by zone, distance, and demand.
✓ step 01 complete - 02
Restaurant accepts and cooks
The kitchen confirms with a prep-time estimate; the order enters the queue and the customer sees a real ETA.
✓ step 02 complete - 03
Dispatch assigns a rider
The AI dispatcher offers the order to the best-positioned riders, batching where routes allow, and the first acceptance locks the job.
✓ step 03 complete - 04
Pickup and tracking
The rider checks in at the restaurant, the customer watches live, and delays propagate honestly to everyone.
✓ step 04 complete - 05
Delivery with proof
The rider completes the drop with photo proof where enabled, and the order closes with ratings requested from both sides.
✓ step 05 complete - 06
Settle and learn
Rider earnings and restaurant payouts post to their ledgers, and the dispatch model learns from every route and rating.
✓ step 06 complete
AI inside the platform
Five model-driven systems working the same order stream. Each ships pre-tuned for food delivery and sharpens as your data compounds.
Dispatch and batching
Assigns and batches orders by rider position, route density, and kitchen prep times, so drops per hour climb without breaking ETAs.
Reads
Rider positions, order queue, traffic, prep estimates
Changes
Lower delivery cost per order and faster promised times
ETA prediction
Predicts delivery times from live conditions and kitchen variance, updating honestly as the order progresses.
Reads
Historical delivery times, traffic, prep variance
Changes
ETAs customers can trust, fewer support calls
Demand forecasting
Projects demand by zone, hour, and weather so rider supply and incentives land before the dinner rush.
Reads
Order history, weather, events, daypart patterns
Changes
Rider supply matched to demand instead of guesswork
Fraud and abuse detection
Flags refund abuse, fake deliveries, and account anomalies before they drain margins.
Reads
Order patterns, proof images, device linkage
Changes
Margin protection with evidence for every dispute
Menu and conversion intelligence
Learns which dishes, photos, and price points convert per market, and surfaces recommendations to restaurants.
Reads
Menu performance, conversion curves, ratings
Changes
Restaurant order values that grow on your platform
platform concepts
Concepts that run food delivery
The first concept is three-sided liquidity. Customers, restaurants, and riders each need the others, and launches succeed by going dense and narrow: one zone, seeded restaurants, held rider supply, then expansion. The admin panel's zone and incentive controls exist to execute exactly that.
The second is the fee and payout engine. Commissions, delivery fees, tips, and rider earnings post to ledgers that reconcile per order, with surge and incentives as first-class entries. When a refund or dispute happens, the ledger decides, not memory.
The third is honest state. Every order has one true state, and customer, restaurant, and rider each see it truthfully from their own side. Most food-delivery trust problems are state problems, which is why the order state machine is the system's backbone.
How your food delivery platform earns
Commission on every order, configurable per restaurant contract tier.
Delivery fees priced by zone, distance, and demand, with surge captured as its own revenue line.
Restaurant subscriptions and featured placement for partners wanting priority visibility.
Every rate is admin-configurable, so you can tune the economics per market without a code release.
Feature groups that decide whether orders complete
Four groups, each mapped to the part of the food-delivery promise it protects.
Three-sided liquidity
Customers, restaurants, and riders each needing the others, with launches going dense and narrow: one zone, seeded restaurants, held rider supply, then expansion, executed through the admin panel's zone and incentive controls.
The fee and payout engine
Commissions, delivery fees, tips, and rider earnings posting to ledgers that reconcile per order with surge and incentives as first-class entries, so a refund or dispute is decided by the ledger, not memory.
Honest state
One true order state that customer, restaurant, and rider each see truthfully from their own side, because most food-delivery trust problems are state problems and the order state machine is the backbone.
Dispatch intelligence
AI batching by route and prep time maximizing drops per hour without breaking promised ETAs, with live tracking from rider telemetry as the trust feature of the category.
insight
The market numbers behind the food delivery opportunity
Food delivery remains one of the highest-frequency e-commerce categories globally, with commentary consistently noting that order density decides profitability. We make no market-size claims; we build the platform so its economics are visible and tunable from day one.
The engineering wedge is honest state and fee discipline: orders whose one true state every side sees and ledgers that reconcile per order are what keep all three sides on the platform. The revenue table below quantifies the lines.
Revenue lines, typical ranges, and what sets each ceiling
Six monetization lines across the platform, quantified against published industry benchmarks. Every rate is admin-configurable; the figures here are modelling inputs, not projections of your platform's earnings.
| Criteria | Revenue line | How it is charged | Typical range | What sets the ceiling |
|---|---|---|---|---|
| Order commissions | Per order by restaurant contract tier | Commissions commonly 15% to 30% of order value | Restaurant economics. Commissions hold while orders stay profitable | |
| Delivery fees | Priced by zone, distance, and demand | Fees commonly $2 to $8+ per delivery | Fee honesty. Fees hold while the breakdown stays clear | |
| Surge revenue | Demand-based pricing as its own line | Surge commonly 10% to 40% of peak fees | Surge trust. Surge earns while it stays explainable | |
| Restaurant subscriptions | Priority tools and visibility | Subs commonly $50 to $500+ per month | Partner depth. Subs earn while the tooling saves real hours | |
| Free-delivery subscriptions | Customer loyalty plans | Subs commonly $5 to $15+ per month | Order frequency. Subs earn while delivery stays reliable | |
| White-label deployments | Branded platforms for regional operators | Deployments commonly $10,000 to $100,000+ | Market demand. Deals close while per-zone config stays cheap |
Every build ships with
Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.
100% source code, full IP
The complete unencrypted codebase transfers to you, with documentation and deployment scripts.
White-label branding
Your logo, colors, and store accounts across all four panels, plus branded customer communications.
Store submission and launch
App store and Play Console submissions handled end to end, with maps, tracking, and production monitoring switched on.
Payment integrations
Stripe, PayPal, and regional gateways configured for order billing, rider payouts, and a reconciliation view for finance.
AI models Pre-tuned
Dispatch, ETA, forecasting, and fraud detection arrive configured for food delivery, not as raw APIs.
Multi-language and Multi-currency
Languages, currencies, and tax display configured for your markets during the launch window.
Scalable cloud infrastructure
Containerized services with real-time location streaming and autoscaling for dinner-peak traffic.
Admin analytics and reports
Revenue dashboards, dispatch quality reports, and CSV exports so your operations team starts informed on day one.
Post-launch support and updates
Included support window plus product updates covering bug fixes, OS compatibility, and version upgrades.
Technology inside the platform
Dispatch and tracking are where cheap clones fail. We engineer them first.
Dispatch engine
A queue-backed assignment system with batching, offer timeouts, and fallbacks, built so a rider going offline never strands an order.
Real-time tracking
Location streaming with battery-aware intervals, map rendering, and ETA recalculation, tuned on real urban networks.
Payments and ledgers
Order billing, rider payouts, refunds, and tips through Stripe, PayPal, and regional gateways, all reconciled per order.
Infrastructure
Containerized services on AWS or GCP with geospatial data stores and autoscaling. See the wider category in our Uber-style build track.
Integrations
Maps and routing providers, SMS and email, POS systems for restaurants, and analytics exports ship as configured integrations.
Security and compliance
Rider verification hooks, role-based access, encrypted traffic and secrets, and audit logs come standard, so compliance questions have answers before they are asked.
Your launch timeline: live in 6 working days
The almost-ready AI build, day by day. Store review times can add a short buffer outside our control.
- 01
Days 1-2: scoping and branding
Launch zones, fee structure, and restaurant categories locked with a written scope, and your identity applied across all four panels.
✓ step 01 complete - 02
Days 3-4: configuration and integration
Gateways, maps and routing providers, and zone pricing configured and tested against your live accounts.
✓ step 02 complete - 03
Days 5-6: supply onboarding and pilot
First restaurants onboarded with real menus, rider accounts verified, and live test orders run end to end: order, dispatch, tracking, proof, payout.
✓ step 03 complete - 04
Days 7-9: store review and go live
App store submissions with review buffers accounted for, production monitoring on, and full launch with post-launch support and product updates included.
✓ step 04 complete
Almost-ready AI launch or custom build: the honest comparison
Both tracks ship the same dispatch core. The difference is time, price structure, and how much you want to change.
| Criteria | Almost-Ready AI Launch | Custom Build |
|---|---|---|
| Time to live | 6 working days from branding handoff | 3 to 4 weeks, scoped before work starts |
| Pricing | Fixed written quote after a short scoping call, no hourly meter | Estimated per module after the discovery call |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| AI layer | Dispatch, ETA, forecasting, and fraud detection pre-tuned | AI services designed around your city and data |
| Delivery modes | Instant and scheduled delivery ready to configure | Plus custom modes such as group ordering or multi-stop routes |
| Best for | Operators who want to launch this quarter | Teams with bespoke workflows or a unique model |
$ moxace launch --nowSee the platform before you commit.
Book a walkthrough and we will demo dispatch, live tracking, and the restaurant console on a live build, then send the written scope.
- 01
Share your idea
a quick call, no deck required
- 02
See the live demo
every screen, admin to user
- 03
Launch with source
full code, your brand, your servers
What moves your quote
No two launches price the same. These are the factors that shape the written quote you receive after scoping.
Scope of customization
The almost-ready AI build covers the proven feature set. Multi-stop routing, loyalty engineering, or bespoke restaurant contracts add scoped estimate work.
Zones and markets
Zone maps, fee structures, and language packs are configured per market. Adding cities means more configuration, never a rebuild.
Integrations
Maps providers, POS systems, payment rails, and analytics are wired during the build, and each integration is estimated individually.
AI tuning depth
Out of the box, dispatch and forecasting are pre-tuned for food delivery. Training models on your own order history is an optional, separately scoped workstream.
Add-on modules that deepen the platform
Extend the UberEats-style build once the core ordering loop is running.
Grocery and convenience mode
Store catalogs with weight-based pricing and substitution approval, extending the fleet into the next vertical.
Alcohol and regulated categories
Compliance-gated categories with ID verification at handoff, opening the highest-margin verticals responsibly.
Loyalty and Free-delivery subscription
Points wallets and free-delivery plans in the same ledger as payments, converting one-off orders into habits.
Cloud kitchen portal
Virtual-brand management with per-brand catalogs and shared-fleet economics, the supply-side expansion.
Corporate ordering mode
Business accounts with approval flows and consolidated invoicing, anchoring weekday lunch volume.
White-label delivery reseller
Deploy the platform for regional operators under their own identity, with per-zone fees, rider terms, and restaurant contracts.
/21
Why operators pick our UberEats-style build
Delivery economics with dispatch-grade engineering.
Dispatch as the moat
Assignment quality decides rider supply and customer trust, so the AI dispatcher ships tuned on day one, not promised later.
Ledger-correct payouts
Rider and restaurant money reconciles per order, the discipline that keeps supply loyal and finance clean.
Full ownership
One hundred percent of the source code transfers to you. No per-order royalties, no black-box dependencies.
Adjacent products
For food-first ordering, see our Swiggy-style delivery build on the same engineering system.
Proof from platforms we have shipped
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
Etihad Airways
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same bar every build is held to.
1M+
Monthly Users
40%
Engagement Lift
PragPlay
A consumer platform from the same engineering system, proving the real-time core holds under load with strict uptime demands.
500K+
Players
99.9%
Uptime
Marvel Studios
A high-volume consumer experience our team ships at global-release scale, the same discipline applied to every launch.
10M+
Streams
65%
Completion
Frequently asked questions
the process
What to expect when building your delivery platform with us
The engagement starts with a discovery call covering your launch zones, restaurant pipeline, and rider plan, then a written scope and quote before work begins. On the almost-ready AI path you hand over branding assets, we apply them across every panel, configure zones and fees, and go live in 6 working days. Custom modules are quoted in writing first.
After launch, support and product updates are included. The first 90 days are a liquidity grind in the best sense: onboarding restaurants personally, holding rider supply through early lulls, and tuning dispatch on real routes. The platform handles the engineering; density is the business you build.
Security and integrity
Tap a card to see how the platform defends its orders.
One True Order State
Customer, restaurant, and rider each see the same order state truthfully from their own side, because most food-delivery trust problems are state problems and the state machine is the backbone.
The Ledger Decides Refunds
Commissions, fees, tips, and rider earnings reconcile per order with surge and incentives as first-class entries, so a refund or dispute is decided by the ledger, not memory.
Batches Protect the ETA
AI dispatch batches by route and prep time to maximize drops per hour without breaking promised ETAs, and live tracking keeps customers watching honest telemetry.
Launches Go Dense and Narrow
One zone, seeded restaurants, held rider supply, then expansion, executed through the zone and incentive controls built for exactly that.
Riders See Honest Pay
Per-drop earnings, tips, and bonuses post to statements with scheduled payouts, so rider trust compounds with every shift.
Economics Stay Tunable
Commissions, fees, and surge configure per market from the admin panel, so economics tune without a code release while order density decides profitability.
Frequently asked questions
Live in action
See It Live Before You Talk to Us
Open the web app, sign in with the printed demo credentials, or install the Android build — no signup, no sales call. What you see is what you launch.
$ moxace launch --nowLaunch your food delivery platform this month.
Book a free consultation and get a written scope and price.
- 01
Share your idea
a quick call, no deck required
- 02
See the live demo
every screen, admin to user
- 03
Launch with source
full code, your brand, your servers
Independent Build
Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by UberEats.
Why This Name
The phrase “UberEats clone” is used descriptively. It is how the software industry refers to building a platform with similar functionality, and how buyers search for one.
Who Built This
The design and codebase are built entirely by our in-house team. Nothing is taken from the UberEats website, applications, or brand assets.
Trademarks
UberEats and all third-party names and marks remain the property of their respective owners, referenced here only to describe the category of software we build.
Read the full legal notice on our disclaimer page.