ETA models from real kitchens
Quoted times come from vendor prep history and live kitchen load, so the promise is one the kitchen has actually hit before.
AI-Built Deliveroo Clone
An AI-first build of the Deliveroo pattern for premium markets: ETA models customers can trust, virtual-brand support for cloud kitchens, and curated discovery that protects vendor quality. 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
$3,399

Synced panels
Almost-ready AI launch
Custom build
Source-code ownership
The track record behind every build.
overview
A Deliveroo-style platform is a premium food delivery business: curated restaurant collections, accurate rider ETAs, and service quality managed as a product feature. Ours is built AI-first, with ETA prediction, batch dispatch, and curation ranking running as model-driven services in the platform core. The operator runs the marketplace under their own brand and competes on reliability rather than on being the cheapest option in town.
The purpose is to serve markets where customers pay for consistency. Premium positioning works when quoted times are honest, orders arrive complete, and the vendor mix feels editorial rather than endless. Operators launch this model to capture the segment of diners who will pay a delivery fee for a dependable experience, and to give restaurants a channel that protects their brand.
The stack covers the full operation: a customer app with curated discovery, a rider app built around informed acceptance and staged confirmations, a restaurant panel that supports multiple virtual brands per kitchen, and an admin console with service-quality dashboards and configurable zone economics.
Published industry reporting consistently shows premium and quality-focused delivery segments holding strong retention even as price-sensitive segments churn between apps. Reliability-led positioning is a durable strategy in dense urban markets.
AI-native operations plus the headline capabilities beyond the role panels.
Quoted times come from vendor prep history and live kitchen load, so the promise is one the kitchen has actually hit before.
Riders see pay and distance before accepting, and the model re-scores candidates as conditions change, cutting declines and late runs.
Editorial collections and quality-scored listings, ranked by the platform's own service signals rather than ad spend alone.
One physical kitchen operates several delivery-only brands with separate menus and commission profiles from a single login.
Subscription tiers with basket thresholds that lift frequency without discounting the brand.
Arrival and handoff are separate events, which prevents the wrong-order errors premium customers notice.
On-time rates, order accuracy, and rider availability feed dashboards both operators and vendors work from.
Commission, vendor share, and rider earnings settle through the gateway automatically, with reconciliation for finance.
If your edge is curation and service standards rather than raw price, this is the model that matches it.
Launching in affluent districts where delivery reliability beats discounting. The AI layer holds ETAs honest while you curate the vendor mix.
Run several delivery-only brands from one kitchen, each with its own menu, pricing, and commission profile, on one vendor login.
Build a member-owned ordering channel with commission rates the group controls and service standards it enforces together.
Extend existing restaurant brands into delivery with a platform that protects the guest experience end to end.
White-label the platform for city-specific clients who want the premium end of the market rather than another discount aggregator.
Four panels, one platform. Every build ships all of them.
A premium ordering experience that justifies loyalty.
Built for rider retention, your hardest operational problem.
Vendor self-service for kitchens and cloud brands.
Operations control for premium-market standards.
Four consoles, one view of the platform's standards, supply, and revenue position.
Vendor onboarding against your curation bar, collection editing, quality thresholds from on-time and accuracy signals, and intervention queues for vendors drifting below standard, so the premium promise is administered, not assumed.
Commission tiers per vendor and mode, distance-banded delivery fees with peak components, membership pricing, curated-advertising rates, and service and cancellation charges, all editable without a code release.
Zone drawing with premium fee bands, rider staging areas, fleet monitoring, dispatch-policy tuning, and payout administration, so the last mile matches the standards the catalog promises.
Service-quality dashboards, refund and dispute consoles with evidence, vendor performance reports, and finance reconciliation across every revenue line, generated on schedule rather than on demand.
The premium journey, from curated discovery to confirmed handoff.
The customer browses editorial collections and quality-scored listings rather than an undifferentiated list, which is what premium positioning is built on.
The order reaches the kitchen with modifiers intact and payment authorized, whether the customer chose delivery or pickup.
The vendor panel tracks the order against its prep-time setting, and busy mode flags capacity before service quality slips.
Riders see pay and distance before accepting, so informed acceptance replaces blind assignment and decline rates fall.
The rider confirms arrival, then confirms handoff, a two-step check that prevents the wrong-order errors premium customers notice.
Live tracking ends in proof of delivery, the customer rates with tags, and the service-quality dashboards update for both vendor and platform.
Five model-driven systems working the same order stream. Each ships pre-tuned for premium delivery and sharpens as your data compounds.
Quotes delivery times from vendor prep history, live kitchen load, and rider position, and updates them as conditions change.
Prep history, kitchen load, rider locations, traffic
ETAs customers can trust and fewer refund requests
Scores nearby riders on proximity, active load, and rating, and batches second drop-offs when prep times and routes align.
Rider positions, active loads, ratings, route geometry
Faster assignments with fewer declines and late runs
Orders listings inside collections using service signals like on-time rates and review tags, so quality surfaces without manual sorting.
On-time rates, accuracy scores, review sentiment, order volume
A vendor mix that stays premium as the catalog grows
Projects order volume by zone and daypart so you position riders and advise vendors before the dinner rush arrives.
Order history, zone activity, weekday and seasonal patterns
Rider supply matched to demand instead of guesswork
Classifies review text and tags into themes, surfacing which vendors and processes are slipping before ratings show it.
Review text, tags, ratings, order outcomes
Earlier intervention on vendors drifting below standard
Four groups, each mapped to the part of the premium promise it protects.
Editorial collections, cuisine and dish search, dietary filters, and curation ranking ordered by service signals, so the catalog stays premium as it grows rather than collapsing into a discount list.
ETA prediction from prep history, staged arrival and handoff confirmations, busy-mode vendor throttling, and review sentiment analysis, so the promise the brand makes is measurable at every order.
Multiple virtual brands per kitchen, menu and modifier control, prep timers, busy flags, payout statements, and service-quality dashboards, so vendors can meet premium standards as self-service.
Shift scheduling, offer queues with pay preview, smart batching, fee transparency per run, and earnings history, because in a premium market the fleet's consistency is the customer experience.
platform concepts
Virtual brands are the defining concept for cloud kitchens: one physical kitchen can operate several delivery-only brands, each with its own menu, commission profile, and prep settings, all from a single vendor login. The platform treats the brand and the kitchen as separate entities that share capacity.
Staged confirmations are the second concept. Arrival and handoff are separate events in the order state machine, which is what makes accurate ETAs and clean dispute resolution possible when a customer claims a missing item.
Service quality is measured, not promised. On-time rates, order accuracy, and rider availability feed the dashboards that both operators and vendors work from, and collection curation in the admin panel uses the same signals.
insight
Premium delivery is the segment where discounting stops working. In affluent urban districts, industry commentary consistently finds that reliability, accuracy, and presentation decide retention more than the lowest fee, which is why curated catalogs and honest ETAs are the product, not the marketing. A premium platform charges for standards and keeps them measurable.
The economics follow from that positioning. Vendors in premium districts accept commission for access to a curated, high-intent audience; customers accept delivery fees for a promise the platform can prove it keeps; and virtual brands let one premium kitchen carry several storefronts on the same prep capacity. The revenue table below quantifies each line.
Per-order commission by vendor tier, with separate rates for delivery-only and pickup orders.
Delivery fees with distance bands, plus peak-hour components during high demand.
Membership subscriptions offering unlimited free delivery above a basket threshold.
Vendor advertising through curated placement and sponsored ranking in search.
All rates are admin-configurable, so you can adjust unit economics market by market without engineering time.
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 |
|---|---|---|---|---|
| Vendor commissions | A percentage per order by vendor tier, with separate rates for delivery-only and pickup | Premium venues commonly take 15% to 30% of order value | Curation quality. A high-intent audience is what makes the commission worth paying | |
| Delivery fees | Distance-banded fees with peak-hour components | Commonly $2 to $6 per order in premium districts | Service standards. Honest ETAs and staged handoffs justify the fee and reduce refunds | |
| Membership subscriptions | Recurring plans with unlimited free delivery above a basket threshold | Subscription tiers commonly priced monthly or annually per user | Order frequency in a high-basket-value market, which premium customers sustain | |
| Curated vendor advertising | Sponsored ranking and collection placement, curated to protect standards | Contract-specific per campaign | Catalog trust. Advertising that respects the curation sells without corroding it | |
| Service charges and cancellation fees | Service fees per order and cancellation charges on late cancellations | Contract-specific per market | Unit economics. These lines protect margin on thin orders without surprising customers | |
| Virtual-brand enablement | Per-brand setup and premium vendor-tier rates for cloud-kitchen operators | Contract-specific per brand or kitchen | Kitchen capacity utilization. Every virtual brand on the same prep line adds a commission stream |
Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.
The complete unencrypted codebase transfers to you, with documentation and deployment scripts.
Your logo, colors, and store accounts across all four panels, plus branded customer communications.
App store and Play Console submissions handled end to end, with production monitoring switched on.
Stripe, PayPal, and regional gateways configured with automated split payouts across platform, vendor, and rider.
ETA prediction, dispatch, and curation ranking arrive configured for premium delivery, not as raw APIs.
Languages, currencies, and tax display configured for your markets during the launch window.
Containerized services on AWS or Azure with autoscaling and queue-backed order intake for peak-hour traffic.
Service-quality dashboards, finance reconciliation views, and CSV exports so your operations team starts informed on day one.
Included support window plus product updates covering bug fixes, OS compatibility, and version upgrades.
Engineered for the details that decide service quality.
A defined state machine from cart to completion, so refunds, reassignments, and busy-mode handling behave predictably under load.
Assignment weighted by proximity, current load, and rating, with route updates against live traffic and staged pickup confirmation for accuracy.
Stripe, PayPal, and regional gateways with tokenized cards, wallets, and cash, plus automated split payouts.
Containerized services with autoscaling and queue-backed intake. For a fully bespoke build, see food delivery app development.
POS systems, accounting exports, SMS and push providers, mapping, and analytics ship as configured integrations, so the platform plugs into the tools your operations already run on.
Role-based access, append-only audit logs, encrypted traffic and secrets, and rate-limited endpoints come standard, so compliance questions have answers before they are asked.
The almost-ready AI build, day by day. Store review can add a short buffer outside our control.
Markets, commissions, and zones locked with a written scope, and your identity applied across all four panels.
Payment gateways, membership tiers, fees, SMS, and currencies configured and tested against your live accounts.
Restaurant catalogs imported, including multiple virtual brands per kitchen, then live test orders run across delivery, pickup, and refund paths.
App store submissions with review buffers accounted for, production monitoring on, and full launch with post-launch support and product updates included.
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 | ETA prediction, dispatch, and curation pre-tuned for premium delivery | AI services designed around your workflows and data |
| Cloud kitchens | Virtual brands supported out of the box | Custom brand and capacity logic 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 --nowBook a walkthrough and we will demo dispatch, service-quality dashboards, and the admin console on a live build, then send the written scope.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
No two premium delivery platforms price the same. These are the factors that shape the written quote you receive after scoping.
Standard modules cover the premium ordering flow. Editions, member programs, and upsell journeys beyond the proven set are estimated as bespoke work.
Premium delivery covers dense urban zones first. Zone shapes, fee bands, rider staging areas, and language packs are configured per city.
Restaurant POS, payment providers with strong fraud tooling, and maps tuned for dense city routing connect during the build.
Dispatch and personalization are pre-tuned for food delivery. Adapting them to your rider fleet density and menu mix is quoted separately.
Each ships as an optional module on the same order core, scoped separately.
Editorial editions, seasonal collections, and partner features that give members reasons to open the app beyond ordering, the engagement layer premium markets expect.
Contactless handoff flows with photo proof, standard practice in premium delivery and a service expectation rather than a novelty.
Referral rewards and loyalty programs layered on the membership tier, concentrating retention spend on the customers who sustain basket value.
Stored value and promo balances with a per-customer ledger, so refunds, cashback, and campaign credit stay precise and auditable.
Additional regional gateways and multi-currency setup as the platform crosses markets, configured rather than rebuilt.
Premium positioning needs engineering, not adjectives.
One kitchen can operate several virtual brands with separate menus and commissions, a core capability rather than a bolt-on.
On-time rates, order accuracy, and rider availability dashboards so you can manage to standards.
One hundred percent of the source code transfers to you. No per-order royalties, no black-box dependencies.
Prefer a commission-light direct-ordering model? See our ChowNow-style build in this catalog.
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
A food delivery platform operating across a dense multi-cuisine market, with AI-assisted dispatch and live order tracking at consumer scale.
An on-demand mobility platform from the same engineering system, proving the dispatch core holds under city-wide, real-time load.
A premium platform's brand rests on promises it must keep. The controls that keep them are built in, and stated plainly.
Card, wallet, and cash payments authorize at checkout and settle through automated splits when the order completes, so cancellations and refunds reverse cleanly.
Staged arrival and handoff confirmations create an auditable record of where responsibility changed, so disputes resolve on evidence rather than on whoever argues harder.
Quoted times derive from each vendor's own fulfilled history and live kitchen load, and busy mode throttles intake before a kitchen overcommits, so the promise is kept or never made.
On-time rates, accuracy, and rider availability feed the dashboards and the curation ranking, so a vendor cannot coast on a good launch month.
Commission edits, zone-fee changes, and curation decisions write to append-only audit logs, so the standards you charge for are themselves auditable.
the process
It starts with a discovery call about your market and vendor mix, then a written scope and fixed quote. You supply brand assets, we apply them across all four panels and configure payments, membership, fees, and zones, including virtual-brand setups for any cloud kitchens. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks, planned with you up front.
After launch you have 60 days of support and 12 months of updates behind you. The first 90 days in a premium market are about protecting standards while you grow: onboarding restaurants that fit the curation, holding on-time rates as volume climbs, and using the service-quality dashboards to intervene early. Density and consistency together are what make the positioning stick.
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.
Login: [email protected] | Store_321 (restaurant), +919876543211 | Driver_321 (delivery)
Access: Given during a guided call
$ moxace launch --nowBook a free consultation and get your launch plan.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by Deliveroo.
The phrase “Deliveroo clone” is used descriptively. It is how the software industry refers to building a platform with similar functionality, and how buyers search for one.
The design and codebase are built entirely by our in-house team. Nothing is taken from the Deliveroo website, applications, or brand assets.
Deliveroo 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.