Send-time optimization
Campaigns and offers learn when each restaurant's customers actually order, raising open and reorder rates.
AI-Built ChowNow Clone
Build a ChowNow Clone App
An AI-first build of the commission-free direct-ordering pattern: restaurants keep their margin, you earn through SaaS subscriptions, and marketing tools learn send times and menus from real order data. Four synced panels ship white-label with 100% source code. 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
Why this model needs better engineering
The SaaS economics leave no room for platform failures.
- /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 a Direct-ordering platform for restaurants?
A direct-ordering platform is a restaurant-branded alternative to marketplace delivery: customers order from a restaurant's own app or site, the kitchen receives orders through its own panel, and no third-party commission applies to the transaction. Ours is built AI-first, with send-time optimization, menu insights, and loyalty personalization running as model-driven services in the platform core. The operator of the platform can be a single restaurant group or a business offering the channel to many restaurants.
The purpose is margin recovery. Marketplace commissions routinely take a large cut of already-thin restaurant economics, and published industry reporting has kept the direct-versus-marketplace debate active for years. A direct channel returns that margin, gives the restaurant the customer data, and keeps loyalty programs under the brand that earns them, while the platform operator earns predictable SaaS revenue instead of volatile commissions.
The platform includes the branded customer app with menu browsing and reordering, optional driver tooling where the restaurant runs its own delivery, a vendor panel for menus, order intake, and pickup management, and an admin console for subscriptions or per-restaurant configuration if you serve multiple vendors.
First-party ordering keeps growing as restaurants seek independence from aggregator economics, which is why the direct model remains one of the most practical software businesses to launch in hospitality.
Main features of our Direct-ordering platform
AI-native operations plus the headline capabilities beyond the role panels.
Menu engineering insights
Item-level performance analysis shows which dishes drive margin, so menus are curated with data instead of habit.
Loyalty personalization
Stamps and offers adapt per diner from order history, concentrating incentives on the visits that matter.
Branded storefronts
Each restaurant gets its own branded web and in-app presence, because diners order from the restaurant, not your directory.
Subscription billing
Automated monthly billing with plan tiers, proration, and failed-payment recovery, the revenue engine of the model.
Customer CRM export
Restaurants keep their customer lists with one-click export, the trust promise that closes sales against commission marketplaces.
Mixed fulfillment
Own-staff runs, pickup, and network-driver runs interleave on the same order flow, chosen order by order.
Zero-commission checkout
Order flow priced without per-order platform fees, with processing costs handled transparently.
Who should launch a Direct-ordering platform?
The unifying trait is a relationship with restaurants: whoever has their trust can move their ordering direct.
Restaurant groups
Several locations see the fastest payback, because every order moved in-house saves commission immediately and compounds monthly.
Independent owners
Single-location restaurants escaping marketplace dependence in their neighborhood, with tools that make direct ordering stick.
Franchises
Deploying a branded channel across the network, with per-location menus and one franchise-wide loyalty program.
POS resellers
Bundling direct ordering with existing point-of-sale offerings, adding recurring SaaS revenue to an installed base.
SaaS-minded founders
Selling the platform as a white-label service to restaurants in their region, earning predictable subscription revenue instead of commissions.
Feature panels of your Direct-ordering platform
Built for the commission-free model, not adapted from a marketplace.
Diner app
Customers order direct from the restaurant they want.
- ✓Restaurant discovery by neighborhood
- ✓Direct branded storefronts
- ✓Personalized reorder suggestions
- ✓Pickup and delivery options
- ✓Scheduled orders
- ✓Loyalty stamps per restaurant
- ✓Saved cards and wallets
- ✓Promo codes
- ✓Order tracking
- ✓Ratings
Driver app
First-party delivery on the restaurant's terms.
- ✓Shift toggle
- ✓Delivery offers
- ✓Short-route navigation
- ✓Batched nearby orders
- ✓Cash and card handling
- ✓Proof of delivery
- ✓Mileage-friendly run notes
- ✓Earnings summary
- ✓Payout history
Restaurant panel
The owner's console, not a vendor queue.
- ✓Branded menu management
- ✓Commission-free order intake
- ✓Own-driver or third-party dispatch
- ✓Menu performance insights
- ✓CRM and customer export
- ✓Email and SMS campaigns
- ✓Loyalty program setup
- ✓Sales reports
- ✓Payout reconciliation
Admin panel
Your SaaS operations console.
- ✓Restaurant onboarding workflow
- ✓Subscription plan management
- ✓Flat monthly billing and invoicing
- ✓Driver network monitoring
- ✓Churn and usage analytics
- ✓Refund and dispute console
- ✓Marketing tool configuration
- ✓Finance reporting
- ✓CSV exports
The admin control plane: running the SaaS platform as an operator
Four consoles, one view of the platform's subscriber base, fulfillment, and revenue position.
Subscriber governance
The restaurant onboarding workflow, plan-tier administration, entitlement rules, and churn-risk queues from the prediction model, so the subscriber base is managed as a book of accounts rather than a vendor list.
Revenue and billing administration
Plan pricing and billing cycles, mixed commission accounts where kept, payment-processing margins, add-on pricing, and billing statements, all editable without a code release and all visible to the restaurants paying them.
Fulfillment operations
Driver-network monitoring, per-restaurant delivery-mode configuration, cash-handling limits, and dispute resolution, so the mixed fulfillment model stays reliable whichever mode a restaurant runs.
Analytics and reporting
Churn and usage analytics, order and payment reporting per restaurant, settlement and payout reporting, and finance reconciliation across subscription, commission, and add-on revenue lines.
How a direct order works
The commission-free journey, from branded storefront to monthly invoice.
- 01
Diner opens the branded storefront
The customer orders from the restaurant's own branded presence, not a marketplace directory, which is what keeps the relationship first-party.
✓ step 01 complete - 02
Zero-commission checkout
Payment processes without a per-order platform fee, and processing costs are handled transparently per the operator's configuration.
✓ step 02 complete - 03
Restaurant receives the order
The owner's console takes intake directly, with the customer record and order history written to the restaurant's own CRM, exportable on demand.
✓ step 03 complete - 04
Mixed fulfillment
The restaurant fulfills with its own staff, pickup only, or the platform's driver network, chosen order by order from the panel.
✓ step 04 complete - 05
Loyalty and reorder
Stamps and promo codes accrue to the restaurant's own program, and reorder favorites keep frequency inside the direct channel.
✓ step 05 complete - 06
Subscription billed monthly
Instead of a commission, the restaurant's flat SaaS subscription bills automatically, with proration and failed-payment recovery built in.
✓ step 06 complete
AI inside the platform
Five model-driven systems working the same order stream. Each ships pre-tuned for direct ordering and sharpens as your data compounds.
Send-time optimization
Learns when each restaurant's customers actually order and schedules campaigns and offers for those windows.
Reads
Order timing, campaign opens, redemptions, daypart patterns
Changes
Higher campaign conversion without bigger discounts
Menu engineering insights
Analyzes item-level performance to show which dishes drive margin and which quietly cost kitchens money.
Reads
Item sales, margin data, order modifiers, seasonality
Changes
Menus curated on data, raising average ticket margin
Loyalty personalization
Adapts stamps and offers per diner from order history, concentrating incentives on the visits that build frequency.
Reads
Order history, reward redemptions, visit intervals
Changes
Higher repeat rates per diner at lower incentive cost
Churn prediction
Flags restaurants whose order volume is drifting down, so your team intervenes before a subscription cancels.
Reads
Order volume trends, login activity, campaign usage
Changes
Lower subscriber churn and steadier SaaS revenue
Smart search and reorder
Ranks restaurants and dishes per diner from favorites and time of day, so the direct channel is faster than the marketplace habit.
Reads
Order history, favorites, location, time of day
Changes
More orders pulled into the direct channel
Feature groups that decide whether restaurants renew
Four groups, each mapped to the promise the SaaS model makes to a restaurant.
Branded direct channels
Each restaurant carries its own branded ordering surface with real indexable routes for organic search, per-outlet menus for multi-location brands, and franchise head-office controls, so the channel is visibly theirs.
Customer ownership
Order and customer records live in the restaurant's account with CRM-style profiles, one-click export, and campaign tooling funded by the restaurant or the operator with recorded contribution splits, so the relationship stays theirs.
Mixed fulfillment
Own-staff delivery, pickup with the built-in till for counter and phone orders, or the platform's driver network, chosen order by order, so the platform serves restaurants as they actually operate.
SaaS economics
Plan tiers with configurable pricing and billing cycles, automated billing with proration and dunning, churn prediction, and billing statements, so the subscription relationship is engineered rather than invoiced by hand.
platform concepts
Concepts that make the direct model work
The economic concept is substitution: revenue comes from a predictable monthly subscription instead of a percentage of orders, so billing automation, plan tiers, proration, and dunning are product features rather than finance chores.
Customer data ownership is the trust concept. Order and customer records belong to the restaurant account with one-click export, which is the specific promise that closes sales against commission marketplaces, and it is enforced in the schema rather than by policy.
Mixed fulfillment is the operational concept. Own-staff runs, pickup, and network-driver runs can be interleaved on the same order flow, so a restaurant can start pickup-only and adopt delivery without changing platforms.
insight
The market numbers behind the Direct-ordering model
The direct-ordering model monetizes a different truth of this industry: restaurants resent commission marketplaces but pay reliably for software that brings orders back in-house. Industry commentary has documented the commission revolt across markets for years, and the winning substitute has been SaaS: a flat monthly fee that costs less than the commission on a week of orders, with the customer relationship staying with the restaurant.
The platform-side consequence is that revenue becomes recurring and predictable rather than transactional, and the mixed model, subscription for some restaurants and commission for others, lets you price each account by what it will bear. The revenue table below quantifies the lines a commission-free platform earns.
How your platform earns
Flat monthly SaaS subscriptions per restaurant, tiered by feature set, the core revenue line in this model.
Optional payment-processing margin on card transactions, disclosed and configured per market.
Premium add-ons: marketing campaigns, CRM exports, and photo menu services.
Driver-network fees where restaurants use your delivery fleet instead of their own staff.
No per-order commission is the selling point to restaurants, and the admin panel makes subscription tiers, add-ons, and billing cycles fully configurable.
Revenue lines, typical ranges, and what sets each ceiling
Six monetization lines across the platform, quantified against published industry benchmarks. Every rate is configurable in your admin panel; 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 |
|---|---|---|---|---|
| Restaurant SaaS subscriptions | Flat monthly plans per restaurant, tiered by feature set with billing cycles and entitlements you define | Direct-ordering platforms commonly charge $50 to $300 per month per location | Plan value. The pitch closes when the fee is visibly less than the commission the restaurant pays today | |
| Mixed commission accounts | Per-order commission kept enabled for restaurants that prefer marketplace economics | Commonly 5% to 15% where kept, well below aggregator rates | Account choice. Running both models side by side lets every restaurant pay the way it prefers | |
| Payment-processing margin | A disclosed margin on card transactions, configured per market | Commonly a fraction of a percent above cost | Transaction volume. The line scales with orders while staying honest on statements | |
| Driver-network fees | Per-run fees where restaurants use your delivery fleet instead of their own staff | Contract-specific per market | Fleet utilization. The network earns only when restaurants want the flexibility, so reliability decides the line | |
| Premium add-ons | Marketing campaigns, CRM exports, photo menu services, and loyalty tooling sold per restaurant | Contract-specific per add-on | Restaurant ambition. Add-ons monetize the marketing work restaurants want done for them | |
| Placement and discovery services | Optional paid placement in the platform home feed, offered without distorting organic discovery | Contract-specific per placement | Restraint. Direct-ordering platforms monetize placement lightly, because the catalog's neutrality is part of the pitch |
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 storefronts per restaurant.
Store submission and launch
App store and Play Console submissions handled end to end, with production monitoring switched on.
Payment integrations
Stripe, PayPal, and regional gateways configured, with subscription billing, proration, and dunning built in.
AI models Pre-tuned
Send-time optimization, menu insights, and loyalty personalization arrive configured for direct ordering, 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 on AWS or Azure with autoscaling and queue-backed order intake for meal-rush traffic.
Admin analytics and reports
Churn and usage analytics, finance reconciliation views, 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
Direct ordering means the restaurant's reputation rides on your stack.
Commission-free billing
Subscription management with plan tiers, proration, and dunning built in, so SaaS revenue is automated rather than tracked in a spreadsheet.
Customer data ownership
Order and customer data stays exportable per restaurant, the core promise of the direct model, enforced in the schema.
First-party dispatch
Optional driver-network dispatch that restaurants can mix with their own staff per order.
Cloud infrastructure
Containerized services with autoscaling. For marketplace-style economics instead, see our marketplace app development track.
Integrations
POS systems, email and SMS providers, accounting exports, and analytics ship as configured integrations, so the platform plugs into tools restaurants already run.
Security and compliance
Role-based access, append-only audit logs, encrypted traffic and secrets, and rate-limited endpoints come standard, with customer-data export enforced at the schema level.
Your SaaS 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
Subscription tiers, target restaurant profile, and any driver-network plans locked with a written scope, and your identity applied across all panels.
✓ step 01 complete - 02
Days 3-4: configuration and integration
Billing plans, payment processing, notification flows, and marketing tools configured and tested against your live accounts.
✓ step 02 complete - 03
Days 5-6: restaurant onboarding and pilot
First restaurant accounts created with branded storefronts, menus, and hours, then test orders run covering pickup, first-party delivery, and subscription billing.
✓ 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 for your network
Both tracks ship the same direct-ordering 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 | Send-time optimization, menu insights, and loyalty personalization pre-tuned for direct ordering | AI services designed around your workflows and data |
| Revenue model | SaaS subscription billing configured out of the box | Custom billing, tiers, and enterprise contracts to your spec |
| Best for | Operators who want to launch this quarter | Teams with bespoke workflows or a unique model |
| After launch | Post-launch support and product updates included | Post-launch support and product updates included |
$ moxace launch --nowSee the commission-free model live.
Book a walkthrough and we will demo branded storefronts, billing, and the marketing tools 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 for a Direct-ordering platform
No two direct-ordering platforms price the same. These are the factors that shape the written quote you receive after scoping.
Scope of customization
The direct-ordering core ships standard. Custom commission-free plans, marketing tools for restaurant groups, or branded native apps are estimated per module.
Zones, cities, and markets
Direct-delivery zones defined by each restaurant, pickup-first configurations, and language settings are configured per vendor market.
Integrations
Each restaurant's own POS and payment account connects during onboarding, and per-vendor integration effort is estimated individually.
AI tuning depth
Discovery and forecasting models are pre-tuned. Adapting them to a commission-free, direct-ordering funnel is a separately scoped workstream.
Add-on modules that widen the platform
Each ships as an optional module on the same order core, scoped separately.
Built-in till expansion
Deeper counter and phone-order recording so offline and online sales live in one operational record, with POS hardware integrations scoped as needed.
Campaign and marketing suite
Email and SMS campaign tooling with send-time optimization sold as a premium add-on, monetizing the marketing work restaurants want done for them.
Franchise estate tools
Head-office controls across a restaurant estate with per-outlet menus, hours, and reporting, sold as an enterprise tier of the same platform.
Separate restaurant app listings
App-store listings per restaurant brand where accounts want their own presence, with release management handled as a service.
Split-tender and offline payments
Wallet, cash on delivery with operator-controlled limits, and split-tender reconciliation for markets where payment habits are mixed.
/21
Why operators pick our ChowNow-style build
Ready-made speed with custom-build engineering discipline.
Direct-Native
Subscription billing, data ownership, and mixed fulfillment are core product logic, not marketplace features with commissions hidden in settings.
Launch economics
A ready-made launch costs a fraction of a ground-up build, with a fixed written quote before work starts.
Full ownership
One hundred percent of the source code transfers to you. No royalty structures, no black-box dependencies.
Compare before you commit
Prefer marketplace economics? Our food delivery app development team can help you compare models.
Platforms we have shipped at scale
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
Flyereats
A food delivery platform operating across a dense multi-cuisine market, with AI-assisted dispatch and live order tracking at consumer scale.
2M+
Orders Delivered
32%
Faster Dispatch
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
Heineken
A brand-engagement platform from the same engineering system, proving consumer experiences hold attention at global-brand scale.
25M+
Views
2.2X
Watch Time
ChowNow clone FAQs
Security and integrity: what the platform protects
A SaaS platform holds restaurant revenue data and subscriber billing. The controls are built in, and stated plainly.
Data ownership is schema-enforced
Order and customer records belong to the restaurant account with one-click export, so the data-ownership promise survives personnel, policy, and platform changes alike.
Billing is automated and auditable
Subscriptions bill on schedule with proration and dunning, and billing statements record plan charges and activity, so the platform's income reconciles without manual invoicing.
Campaign funding is transparent
Promotions funded by the operator or by restaurants record contribution splits, so settlement always reflects who actually paid for the discount.
Mixed payment habits are handled
Cards, wallets, cash on delivery with operator-controlled limits, and split tender reconcile against each order, so no payment mode becomes an accounting gap.
Discovery stays neutral by design
The home feed and paid placement are operator-configured with the organic catalog protected, because the direct model's credibility depends on a fair shelf.
the process
What to expect during the build
We start with a discovery call about your restaurant network and order flow, then send a written scope and fixed quote. After brand handoff we configure menus, pickup logic, payments, and any own-rider delivery settings. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks, planned with you up front.
Post-launch you have 60 days of support and 12 months of updates. The first 90 days are about shifting order habits: promoting the direct channel inside the restaurant, on packaging, and through staff, because the software works from day one and adoption is the metric that decides the savings.
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 --nowBuild the commission-free platform restaurants want.
Book a free consultation and get a fixed quote.
- 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 ChowNow.
Why This Name
The phrase “ChowNow 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 ChowNow website, applications, or brand assets.
Trademarks
ChowNow 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.