2010
Operating Since
15+ years shipping apps
AI-Built Food Delivery Platform
White-Label Food Delivery App
Launch your own food delivery business with your branding, your restaurants and your riders, live in 6 working days on our almost-ready AI build or 3 to 4 weeks as a custom build. Four synced panels, AI-assisted dispatch and order economics ship in the core, with 100% source-code ownership on delivery.
- 4
- Synced panels
- 6-9 days
- Almost-ready AI launch
- 3-4 weeks
- Custom build
- 100%
- Source-code ownership
Trusted by the brands we build for
Delivery platforms built since 2010
Canonical track record behind every engagement.
9,000+
Projects Delivered
across 35+ industries
3,900+
Apps Published
in 25+ countries
90+
Ready Platforms in Catalog
live in production
overview
What is a White-label food delivery app?
A white-label food delivery app is a complete delivery platform, customer ordering, restaurant management, rider dispatch and owner analytics, deployed under your brand with your commission structure. You are not reselling a vendor's marketplace; you are running your own.
The unit economics decide everything: order value, commission rate, delivery cost per order and repeat frequency. An owned platform lets you tune every one of those levers, from surge pricing to subscription meals, instead of accepting a marketplace's terms.
Our almost-ready build ships all four panels synced in real time, with dispatch logic proven across 2M+ orders on platforms like Flyereats. Branding and configuration take days; custom scope is quoted in writing before work starts.
Hand-picked features for your food delivery app
Explore the top features that keep orders flowing and riders efficient.
One-tap ordering
Search, menus, customization and checkout engineered for under a minute. Every abandoned cart has a specific, fixable cause.
AI dispatch & routing
Order-to-rider assignment with live traffic-aware routing. Shorter delivery times are the single metric users rate you on.
Live order tracking
Real-time status from kitchen to doorstep with accurate ETAs, because uncertainty generates support calls, not patience.
Restaurant panel
Menu and pricing control, order acceptance, prep-time management and settlement statements that keep restaurants loyal.
Rider app
Batched offers, navigation, earnings tracking and shift management built for one-handed use on the move.
Promotions & loyalty
Coupons, referral programs and loyalty wallets that build repeat frequency, the number that makes delivery economics work.
Multi-payment support
Cards, wallets, cash on delivery and regional methods with idempotent ledgers and reconciliation exports.
Ratings & quality control
Two-sided ratings, photo proofs and dispute workflows that keep food quality and service standards visible.
Who should launch a White-label food delivery app?
What these buyers share: local demand, an existing supply side, and a reason the marketplace should be theirs.
Restaurant chains
Multi-location groups cutting marketplace commissions with direct ordering under their own brand.
Cloud kitchens
Delivery-first operators owning the demand layer instead of renting it from aggregators.
Regional delivery entrepreneurs
Operators launching in cities and niches the giants under-serve, where local density wins.
Supermarkets & grocers
Retailers adding prepared-food and quick-commerce delivery to existing logistics.
Agencies & resellers
Firms deploying the platform across multiple cities and clients under their own brand.
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 infrastructure core holds under real-time 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
Launch timeline: live in 6 working days
The almost-ready AI build, day by day. Store review can add a short buffer outside our control.
- 01
Days 1-2: scoping and branding
Commission structure, zones and delivery model locked with a written quote, and your identity applied across all four panels.
✓ step 01 complete - 02
Days 3-4: configuration and integration
Payment gateways, maps and notification services configured and tested against your live accounts.
✓ step 02 complete - 03
Days 5-6: restaurant and rider onboarding
Seed restaurants, menus and rider rosters loaded, then live test orders run end to end: order, accept, dispatch, deliver, settle.
✓ 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 support and updates included.
✓ step 04 complete
revenue model
Monetization dynamics in food delivery
Revenue comes from four levers: restaurant commissions, customer delivery and service fees, advertising placements in search results, and subscription programs that lock in repeat frequency. Marketplace owners who own their platform can re-weight these by market and season instead of accepting a fixed formula.
The dispatch layer is where margin hides. Better rider assignment and batching measurably cut delivery cost per order, which is why AI dispatch ships pre-tuned in the core rather than as a future upgrade.
Every food delivery build ships with
Standard inclusions on every engagement. 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 identity across all four panels, plus your domains and store accounts.
Store submission and launch
App Store and Play Console submissions handled end to end, with production monitoring switched on.
Payment integrations
Gateways, wallets and cash-on-delivery configured against your live accounts, with reconciliation wired in.
AI models Pre-tuned
Dispatch, routing and recommendation models arrive configured for delivery operations, not as raw APIs.
Four synced panels
Customer app, restaurant panel, rider app and admin console operating as one real-time system.
Multi-language and Multi-currency
Languages, currencies and regional payment methods configured for your markets during the launch window.
Scalable cloud infrastructure
Containerized services with autoscaling and queue-backed order intake for dinner-peak volume.
Post-launch support and updates
Included support window plus product updates covering bug fixes, OS compatibility and version upgrades.
Technology stack for your food delivery app
Stack choices made for real-time dispatch, peak-hour volume and billing accuracy.
Mobile apps
Swift, Kotlin and Flutter clients engineered for one-handed ordering and riding.
Backend & dispatch
Node.js services with queue-backed order state machines and idempotent payment ledgers.
Maps & routing
Google Maps and OpenStreetMap integrations with live traffic-aware routing.
AI & optimization
Dispatch assignment and demand forecasting from our AI development services practice.
Payments
Stripe, Razorpay and regional gateways plus wallets and COD handling.
Cloud & devOps
AWS and Azure deployments sized for dinner-peak traffic with CI/CD and observability.
Almost-ready AI launch or custom build: the honest comparison
Both tracks ship the same dispatch and order 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 | Estimated per module after the discovery call |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| AI layer | Dispatch and routing pre-tuned for delivery operations | Models designed around your fleet and order patterns |
| Monetization | Commissions, delivery fees and promos configured out of the box | Custom fee models and subscriptions scoped individually |
| Best for | Operators launching a city this quarter | Teams with a bespoke delivery model or vertical |
| After launch | Post-launch support and product updates included | Post-launch support and product updates included |
/11
Why choose Moxace for your food delivery app
Delivery is won on minutes and margin. We engineer both.
Proven dispatch logic
Our dispatch and order-state engine has carried 2M+ orders on platforms like Flyereats with 32% faster deliveries. You start from that, not from a blank page.
Four panels, one system
Customer, restaurant, rider and admin surfaces operate on the same real-time state, so nobody works from a stale screen during the dinner rush.
Economics you control
Commissions, fees, promos and subscriptions are configuration you own, because 100% of the source code transfers to you on delivery.
Peak-hour reliability
Autoscaling and queue-backed intake sized for Friday-night order storms, verified by load testing before launch.
Launch speed
Almost-ready builds go live in 6 working days and custom builds in 3 to 4 weeks, each confirmed in writing before work starts.
Post-launch partnership
Included support window and 12 months of product updates, because the first quarter of tuning delivery zones and promos is where the model is proven.
FAQ's
$ moxace launch --nowReady to launch your own delivery business?
Book a walkthrough and we will demo 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
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