AI order dispatch and batching
Assigns orders to couriers with batching by route density and time windows, maximizing drops per hour without breaking promised times.
AI-Built Postmates Clone
An AI-first build of every on-demand delivery mechanic: dispatch that batches orders intelligently, live tracking customers trust, and courier economics that meter fairly per drop. 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
$3,399

Synced panels
Almost-ready AI launch
Custom build
Source-code ownership
Canonical facts, not promises.
overview
A Postmates-style platform is on-demand local delivery: customers order from stores and restaurants in their area, couriers accept and fulfill those orders, and the platform earns a commission and delivery fee on every completed drop.
Its purpose is to monetize local logistics without owning vehicles. The operator's asset is dispatch intelligence and marketplace liquidity: enough couriers to keep pickup times honest, enough demand to keep couriers earning, and a fee engine that prices distance, weight, and surge fairly.
At a high level the platform includes a customer app with multi-category catalogs and live tracking, a courier app with offer batches and earnings, a merchant dashboard for store catalogs and fulfillment, and an admin panel over zones, fees, couriers, and dispatch rules.
Market context, hedged: quick-commerce and on-demand delivery remain significant categories globally, though unit economics vary sharply by market, and commentary frequently notes that density and courier supply decide who profits. We make no claims about any specific market's size; we build the platform so its economics are visible and tunable from day one.
The headline capabilities, at product level.
Assigns orders to couriers with batching by route density and time windows, maximizing drops per hour without breaking promised times.
Customers watch their order move in real time with accurate ETAs from courier telemetry, the feature that defines trust in this category.
Restaurants, groceries, pharmacies, and retail under one catalog system, with per-store hours, stock, and preparation times.
Both immediate orders and scheduled windows, with courier capacity planned differently for each.
Photo, signature, and geotagged drop confirmation, with disputes resolved from evidence rather than memory.
Dynamic delivery fees and courier incentives per zone and hour, configured and previewed from the admin panel.
Per-drop earnings, tips, bonuses, and scheduled payouts with statements, so courier trust compounds.
Two-sided ratings with quality flags on late orders, missing items, and low ratings feeding merchant and courier reviews.
What these buyers share: a local market they understand and the desire to own the delivery layer in it.
Building the default delivery app for a market the giants serve thinly. The AI dispatch core runs the hardest operational part while you sign merchants.
Owning delivery for their own locations and selling surplus capacity to neighboring merchants on the same fleet.
Running last-mile on their own terms with the catalog, proof-of-delivery, and compliance tooling their category needs.
Extending fleet businesses into consumer on-demand, reusing dispatch and payout infrastructure across contracts.
Deploying the white-label build for clients across cities, every deployment a standalone business on 100% source code.
Four products operating as one system. Every panel ships in every build.
Where orders start and loyalty forms.
The earning side of the marketplace.
For stores fulfilling orders.
Run the marketplace from one console.
Four consoles, one view of couriers, merchants, and money.
AI dispatch tuning and monitoring with batching oversight, zone and fee configuration, and live operation dashboards across active couriers.
Courier verification and management with onboarding ladders, merchant onboarding and contracts, and surge and incentive controls per zone.
The dispute resolution queue with evidence from the order ledger, refund administration, and quality reporting on pickup and delivery times.
Revenue reporting across commissions, fees, and surge, courier payout reconciliation, and CSV exports for finance.
The journey every stakeholder repeats, engineered end to end.
The customer picks a store, fills a cart with live stock, and checks out with a delivery fee priced by zone, distance, and demand.
The store confirms with a prep-time estimate; the order enters the queue and the customer sees a real ETA, not a guess.
The AI dispatcher offers the order to the best-positioned couriers, batching where routes allow, and the first acceptance locks the job.
The courier checks in at the store, the customer watches the courier move live, and delays propagate honestly to everyone.
The courier completes the drop with photo or signature proof, and the order closes with ratings requested from both sides.
Courier earnings and merchant payouts post to their ledgers, and the dispatch model learns from every route and rating.
Five model-driven systems working the same order stream. Each ships pre-tuned for on-demand delivery and sharpens as your data compounds.
Assigns and batches orders by courier position, route density, and prep times, so drops per hour climb without breaking ETAs.
Courier positions, order queue, traffic, prep estimates
Lower delivery cost per order and faster promised times
Predicts delivery times from live conditions rather than static tables, and updates them honestly as the order progresses.
Historical delivery times, traffic, store prep variance
ETAs customers can trust, fewer where-is-my-order calls
Projects demand by zone and hour so courier supply and incentives land before the dinner rush, not during it.
Order history, weather, events, daypart patterns
Courier supply matched to demand instead of guesswork
Flags refund abuse, fake drop claims, and account anomalies before they drain margins.
Order patterns, proof images, device linkage
Margin protection with evidence for every dispute
Recommends fee and bonus settings per zone and hour that balance courier supply against order conversion.
Supply-demand ratios, acceptance rates, churn signals
Incentive spend that buys supply where it is actually short
platform concepts
The first concept is marketplace liquidity. Couriers need orders and customers need couriers, and the cold-start discipline is geographic: launching zone by zone with dense supply and demand rather than a whole city of empty promises. The admin panel's zone controls exist for exactly that staged launch.
The second is the fee and payout engine. Delivery fees, commissions, tips, and courier earnings post to ledgers that reconcile per order, with surge and incentives as first-class entries rather than manual adjustments. When a dispute or refund happens, the ledger decides, not memory.
The third is honest state. Every order has one true state, and customer, merchant, and courier each see it truthfully from their own side. Most delivery-app trust problems are state problems, which is why the order state machine is engineered as the system's backbone.
Commission on every order, configurable per merchant category and contract tier.
Delivery fees priced by zone, distance, and demand, with surge captured as its own revenue line.
Merchant subscriptions and featured placement for stores wanting priority visibility.
Every rate is admin-configurable, so you can tune the economics per market without a code release.
Four groups, each mapped to the part of the delivery promise it protects.
Cold-start discipline that launches zone by zone with dense supply and demand rather than a whole city of empty promises, with the admin panel's zone controls built for exactly that staged launch.
Delivery fees, commissions, tips, and courier earnings posting to ledgers that reconcile per order, with surge and incentives as first-class entries, so a dispute or refund is decided by the ledger, not memory.
One true order state that customer, merchant, and courier each see truthfully from their own side, because most delivery-app trust problems are state problems and the order state machine is the backbone.
AI batching that pairs orders intelligently, courier verification and management, and surge and incentive controls that keep pickup times honest while couriers keep earning.
insight
On-demand delivery keeps compounding past the two-hundred-billion-dollar mark globally by 2030 on widely published forecasts, with local logistics monetized without owning vehicles, and the operator's real assets being dispatch intelligence and marketplace liquidity.
The engineering wedge is honest state and fee discipline: orders whose one true state every party sees, and ledgers that reconcile per order, are what keep customers, merchants, and couriers all on the platform. The revenue table below quantifies the lines.
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 completed order by category and tier | Commissions commonly 15% to 30% of order value | Merchant economics. Commissions hold while orders stay profitable | |
| Delivery fees | Priced by zone, distance, and demand | Fees commonly $2 to $10+ 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 | |
| Merchant subscriptions | Priority tools and visibility for stores | Subs commonly $50 to $500+ per month | Merchant depth. Subs earn while the tooling saves real hours | |
| Featured placement | Sponsored storefronts in browsing | Ads commonly 2% to 5% of GMV | Discovery trust. Placement earns while ranking stays honest | |
| White-label deployments | Branded platforms for regional fleets | Deployments commonly $10,000 to $100,000+ | Market demand. Deals close while per-zone config stays cheap |
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 maps, tracking, and production monitoring switched on.
Stripe, PayPal, and regional gateways configured for order billing, courier payouts, and a reconciliation view for finance.
Dispatch, ETA, forecasting, and fraud detection arrive configured for on-demand delivery, not as raw APIs.
Languages, currencies, and tax display configured for your markets during the launch window.
Containerized services with real-time location streaming and autoscaling for dinner-peak traffic.
Revenue dashboards, dispatch quality reports, 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.
Dispatch and tracking are where cheap clones fail. We engineer them first.
A queue-backed assignment system with batching, offer timeouts, and fallbacks, built so a courier going offline never strands an order.
Location streaming with battery-aware intervals, map rendering, and ETA recalculation, tuned on real urban networks.
Order billing, courier payouts, refunds, and tips through Stripe, PayPal, and regional gateways, all reconciled per order.
Containerized services on AWS or GCP with geospatial data stores and autoscaling. See how this fits our wider delivery work in the Uber-style build track.
Maps and routing providers, SMS and email, POS systems for merchants, and analytics exports ship as configured integrations.
Courier verification hooks, role-based access, encrypted traffic and secrets, and audit logs come standard, so compliance questions have answers before they are asked.
The almost-ready AI build, day by day. Store review times can add a short buffer outside our control.
Launch zones, fee structure, and merchant categories locked with a written scope, and your identity applied across all four panels.
Gateways, maps and routing providers, and zone pricing configured and tested against your live accounts.
First merchants onboarded with real catalogs, courier accounts verified, and live test orders run end to end: order, dispatch, tracking, proof, payout.
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 | 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 scheduled freight or multi-drop routes |
| Best for | Operators who want to launch this quarter | Teams with bespoke workflows or a unique model |
$ moxace launch --nowBook a walkthrough and we will demo dispatch, live tracking, 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 launches price the same. These are the factors that shape the written quote you receive after scoping.
The almost-ready AI build covers the proven feature set. Multi-drop routing, custom category logistics, or bespoke merchant contracts add scoped estimate work.
Zone maps, fee structures, and language packs are configured per market. Adding cities means more configuration, never a rebuild.
Maps providers, POS systems, payment rails, and analytics are wired during the build, and each integration is estimated individually.
Out of the box, dispatch and forecasting are pre-tuned for on-demand delivery. Training models on your own order history is an optional, separately scoped workstream.
Extend the Postmates-style build once the core delivery loop is running.
Compliance-gated categories with ID verification at handoff, opening the highest-margin delivery verticals responsibly.
Planned drops and subscription deliveries with slot capacity management, smoothing demand across the day.
Earnings, utilization, and zone coverage analytics with incentive optimization, the tooling that keeps supply loyal.
Store hours, item availability, and prep-time management, cutting the ops calls that slow dispatch.
Customer wallet with credits and loyalty tiers, converting one-off orders into habitual ones.
Deploy the platform for regional operators under their own identity, with per-zone fees, courier terms, and merchant contracts.
Delivery economics with dispatch-grade engineering.
Assignment quality decides courier supply and customer trust, so the AI dispatcher ships tuned on day one, not promised later.
Courier and merchant money reconciles per order, the discipline that keeps supply loyal and finance clean.
One hundred percent of the source code transfers to you. No per-order royalties, no black-box dependencies.
For food-first ordering, see our Swiggy-style delivery build on the same engineering system.
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same bar every build is held to.
A consumer platform from the same engineering system, proving the real-time core holds under load with strict uptime demands.
A high-volume consumer experience our team ships at global-release scale, the same discipline applied to every launch.
Tap a card to see how the platform defends its drops.
Customer, merchant, and courier each see the same order state truthfully from their own side, because most delivery-app trust problems are state problems and the state machine is the backbone.
Delivery fees, commissions, tips, and courier earnings reconcile per order, so a dispute or refund is decided by the ledger, not by memory.
Cold-start discipline launches with dense supply and demand per zone rather than a whole city of empty promises, with zone controls built for staged launches.
Surge and incentives are first-class ledger entries with zone and demand logic visible, so premium pricing earns trust instead of eroding it.
AI dispatch pairs orders intelligently with pickup times that stay honest, keeping couriers earning without degrading customer promises.
Commissions, delivery fees, and merchant terms configure per market from the admin panel, so economics tune without a code release.
the process
The engagement starts with a discovery call covering your launch zones, merchant pipeline, and courier 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 merchants personally, holding courier supply through the early lulls, and tuning dispatch on real routes. The platform handles the engineering; density is the business you build.
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 --nowBook a free consultation and get a written scope and price.
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 Postmates.
The phrase “Postmates 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 Postmates website, applications, or brand assets.
Postmates 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.