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A shared table photographed from above — pizzas, salad, side dishes and drinks
01Zomato-like food delivery app development

A complete food delivery ecosystem — the app diners order on, the panel restaurants cook from, the app riders deliver with, and the console you run the whole operation from. Built around your business model, and owned outright by you.

  • Customer app
  • Restaurant panel
  • Delivery partner app
  • Admin console

Restaurant panel

New order #4417

1 × Hyderabadi biryani · ₹420

Accept18 min

Delivery partner

Pickup assigned

Indiranagar 12th Main · 2.1 km

On duty₹186 today

Demo data · our own interface design

02The product

One platform.
Four experiences.
One order, kitchen
to doorstep.

A food delivery marketplace is not one app with four skins. It is four products for four different people, and the only thing they have in common is the order passing between them. Get one of them wrong and the order stops there.

  1. A hand holding a phone running a food ordering app at a table

    01

    Customer

    App & website

    Finds a restaurant, picks a dish, pays, and watches it come.

  2. A chef plating dishes under heat lamps during service

    02

    Restaurant

    Vendor panel

    Takes the order, commits to a time, cooks it, marks it ready.

  3. A delivery rider on a scooter moving through city traffic at night

    03

    Delivery

    Partner app

    Gets assigned, collects, navigates, hands it over at the door.

  4. An operator reviewing the day on a tablet

    04

    You

    Admin console

    Sets the economics, watches every order, settles the money.

Letting a customer browse restaurants and place an order is the part everybody pictures, and it is the smallest part. The moment a real order exists, a restaurant has to be told, a kitchen has to agree to a time, someone has to collect the food, the customer needs to know where it is, and the money has to reach three different parties correctly.

None of that is visible in the app the customer holds. All of it is the business. Every quote you receive should say which of it is included — the gap between a cheap clone and a marketplace that survives a real Friday night is almost always the operational half nobody demoed.

You are not buying an app. You are building a food delivery business.

Which means it also needs restaurant onboarding, menu and availability management, order acceptance and prep times, delivery assignment and routing, live tracking, payments and three-way settlement, coupons and promotions, refunds and support, and analytics on all of it — before you have opened in a second city.

03How it runs

Watch one order
move through all four.

Twenty-six minutes, eight beats, four products. Every beat is a handoff, and every handoff is a place the order can be lost — which is why these are built together rather than bought separately.

7:42

Order confirmed

#4417 · Rasa Kitchen · ₹471

Arriving in12min
  1. Placed
  2. Cooking
  3. Picked up
  4. Delivered
Imran is on the way1.4 km away
  1. Discover

    A customer opens the app hungry and undecided. Categories, ratings, delivery time and price band do the narrowing.

    Customer app

  2. Order

    +0:00

    Cart confirmed, payment authorised, address and instructions attached.

    Customer app

  3. Restaurant accepts

    +0:12

    Ticket lands on the vendor board with an audible alert. Kitchen sets the prep time.

    Vendor panel

  4. Preparation

    +0:40

    The kitchen cooks to the time it committed to. Every minute it slips is a minute the customer is watching.

    Vendor panel

  5. Dispatch

    +4:10

    Dispatch picks a rider on distance, current load and direction of travel, not just proximity.

    Admin dispatch

  6. Live tracking

    +8:00

    Live location and a revised ETA, so nobody phones the restaurant to ask.

    Rider + customer app

  7. Delivery

    +26:00

    OTP at the door closes the order. The customer rates the food and the rider separately.

    Customer app

  8. Settlement

    +26:20

    Commission split, restaurant payout, rider payout and the invoice all post automatically.

    Admin console

Demo data · our own interface design

04The customer

The half of the product
everybody judges you on.

Where the order starts. Everything here is judged against the app they already use, so it has to be quick, obvious and honest about timing.

7:42

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+9198450 44170
Continue

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GoogleApple

01 / 06

Demo data · our own interface design

  1. 01

    Sign-in that gets out of the way

    Phone-number OTP as the primary path, with Google and Apple alongside it. No password to forget.

    OTP + social sign-in, session persistence across devices

  2. 02

    Search that understands intent

    One field covering dishes, restaurants and cuisines, with filters for diet, price band, rating and delivery time.

    Typo-tolerant search, faceted filters, recent and trending

  3. 03

    Schedule for later

    Pick a delivery window instead of ordering now. Kitchens see it queued so prep starts at the right moment.

    Slot picker with per-restaurant capacity limits

  4. 04

    Status people actually trust

    Push, SMS and email at the moments that matter: accepted, cooking, picked up, arriving.

    Push, SMS and email on four order milestones

  5. 05

    Live tracking on a map

    The rider on a map with a moving ETA, so nobody is calling to ask where their food is.

    Live rider location, revised ETA, contact rider

  6. 06

    Pay how they want

    UPI, cards, net banking, wallets and cash on delivery, with refunds handled inside the app.

    UPI, cards, wallets, COD, in-app refunds

A hand holding a phone running a food ordering app at a table
05The restaurant

The surface that decides
whether restaurants stay.

If accepting an order is slow during a rush, restaurants go back to the phone and your supply thins out. It is used with wet hands, under time pressure, on a screen across the room — and that constraint shapes the whole product.

A chef plating dishes under heat lamps during service
  1. 1

    Order alerts that cut through a kitchen

    Audible, repeating alerts with the full ticket, built for a loud room and a busy pass.

    Persistent audio alert, full ticket, one-tap print

  2. 2

    Accept, reject, set the time

    Take the order, decline with a reason, or push the prep time out when the kitchen is backed up.

    Accept / reject with reason codes, adjustable prep time

  3. 3

    One board for every order

    Incoming, cooking, ready and picked up on a single board, so nothing is lost mid-service.

    Kanban order board with live state per ticket

  4. 4

    Menu and pricing in their hands

    Items, variants, add-ons, prices and minimum order value, editable without raising a ticket with you.

    Self-serve menu CRUD, variants, add-ons, stock-out toggle

  5. 5

    Run their own offers

    Restaurant-funded discounts, combos and happy-hour windows, on top of anything the platform runs.

    Vendor-funded offers, scheduling, per-item combos

  6. 6

    Earnings they can check themselves

    Daily sales, commission taken, payouts due and the settlement date, without asking anyone.

    Sales, commission, payout schedule, downloadable invoices

A delivery rider on a scooter moving through city traffic at night
06The delivery partner

Last mile, on a bike,
one hand free.

A phone app used one-handed, outdoors, often on a bike in traffic. Battery and data use are product decisions here, not afterthoughts.

Demo data · our own interface design

  1. 01

    Onboarding with documents

    Sign-up, licence and ID upload, verification status and training, before a first delivery is allowed.

    Document upload, verification workflow, approval gate

  2. 02

    Assignment with the full picture

    Pickup, drop, distance and payout on the offer screen, with a countdown to accept.

    Push assignment, accept countdown, auto-reassign on timeout

  3. 03

    Routing and batching

    Turn-by-turn to the restaurant then the customer, and two nearby orders batched when it makes sense.

    Maps handover, multi-drop batching, distance-based payout

  4. 04

    Proof of delivery

    OTP at the door, or a photo and signature where that is the local norm.

    Delivery OTP, photo capture, signature, timestamped

  5. 05

    They control their hours

    Go online and offline from the app, with shift preferences and zones they want to work.

    Availability toggle, shift preferences, zone selection

  6. 06

    Earnings, per day and per trip

    What each delivery paid, incentives hit, and when the money lands.

    Per-trip breakdown, incentives, payout ledger

07The console you live in

One control layer over
the entire marketplace.

The product you will personally live in. Most clone quotes treat it as an afterthought; it is where a marketplace is actually run.

Demo data · our own interface design

  1. 1

    Every order, one screen

    Live orders across the city with state, delay and the ability to intervene on any one of them.

  2. 2

    Onboard and manage restaurants

    Add restaurants, verify documents, set their commission, open and close them by zone.

  3. 3

    Set the economics

    Commission, delivery fee, surge, packaging charges and platform fee — the levers that make a marketplace work.

  4. 4

    Fleet and dispatch control

    Riders on a map, manual reassignment, and rules for how orders get allocated.

  5. 5

    The numbers that matter

    Orders, GMV, average value, cancellations, late deliveries and repeat rate — by day, zone and restaurant.

  6. 6

    Ratings and complaints

    Reviews of food, rider and platform in one queue, with refunds and credits issued from the same screen.

08Engineering

Built for the dinner rush,
not the demo.

Four tiers, and a rule that runs through all of them: nothing in the order path may depend on something that can be busy. A marketplace comfortable at noon and falling over at eight is not finished.

  1. 01

    Client applications

    What the four parties hold

    Customer app & web · Vendor panel · Rider app · Admin console

  2. 02

    API & realtime layer

    One contract, typed end to end

    REST & GraphQL · Auth & sessions · WebSockets · Push / SMS / email

  3. 03

    Domain services

    Separated so a spike in one cannot take the order path down

    Order engine · Payments & settlement · Dispatch & routing · Promotions

  4. 04

    Data & analytics

    The ledger, the live state, the geography, the reporting

    PostgreSQL / MySQL · Redis · PostGIS · Warehouse & BI

What each tier is built with, and the load problem it solves

  • Mobile apps

    React Native · Flutter · Swift · Kotlin

    One codebase for the customer and rider apps, dropping to native where it matters — background location on the rider app is the usual reason.

  • Web & panels

    React · TypeScript · Next.js

    The vendor panel and admin console are dense, long-lived screens. Typed end to end, because a wrong commission field is money.

  • Services

    Node.js · NestJS · Laravel · Python

    Orders, dispatch, payments and notifications as separate services, so a spike in one does not take the order path down with it.

  • Data

    PostgreSQL · MySQL · MongoDB · Redis · PostGIS

    A relational ledger for money, Redis for live state and queues, PostGIS for the geo queries dispatch runs constantly.

  • Realtime

    WebSockets · MQTT · Firebase

    Rider location at a few seconds of latency, order state pushed rather than polled. Polling is what drains rider batteries.

  • Payments

    Razorpay · Stripe · UPI

    Split settlements so restaurant payout, rider payout and your commission are reconciled by the system, not a spreadsheet.

  • Maps & location

    Google Maps · Mapbox · geocoding APIs

    Address resolution, routing and distance bands. The delivery fee you charge is computed from this, so it has to be right.

  • Infrastructure

    AWS · Kubernetes · CloudFront

    Autoscaling around the lunch and dinner peaks, which is when a marketplace either holds or embarrasses you.

  • Peak concurrency

    Dinner rush is 8–10× the daily mean

  • Dispatch latency

    Rider assigned in under a second

  • Location writes

    Every active rider, every few seconds

  • Settlement

    Three-way split on every single order

Load figures are illustrative of the category, not a guarantee for your launch — real numbers depend on your city, catalogue and marketing.

AI, where it earns its place

Same two words, a different first result.

A customer types "healthy food near me". The platform already knows where they are, what they reorder, what they never order and what they spend. The first result is different for every customer who types it — and the first result is where most orders are actually placed.

  • Demand prediction

    Forecast the dinner peak by zone so riders are already where the orders will be, instead of chasing them.

  • Smart promotions

    Discount the customer who is about to lapse, not the one who was going to order anyway. Same budget, better placed.

  • Support automation

    "Where is my order" answers itself from live tracking data. Your team handles the cases that need a person.

  • Fraud detection

    Repeated refund claims, coupon abuse and impossible delivery patterns flagged before they are paid out.

Healthy food near me

What the platform already knows

  • Where they areIndiranagar, 8:40pm
  • What they reorderGrain bowls, twice a week
  • What they avoidNo fried, no dessert
  • What they spend₹300–450 a head

First result

The Green Counter · 1.2 kmGrain bowls · ₹340 for one · 24 min · ordered here twice before

AI belongs where it moves a number. Everywhere else it is a feature bullet you pay to maintain.

09What it is worth
Built to handlemore than orders.

A marketplace is worth building when it changes how the business runs, not when it adds a way to place an order. Six things change on day one.

  1. 01

    Orders stop being phone calls

    Every order arrives structured, priced and addressed. Nothing is transcribed, so nothing is mis-heard during a rush.

  2. 02

    Restaurants run themselves

    Menus, availability, prep times and offers are theirs to change. Your team stops being a helpdesk for menu edits.

  3. 03

    Delivery becomes measurable

    Assignment, route and handover are timestamped, so late deliveries have a cause you can see rather than a story.

  4. 04

    The money reconciles itself

    Commission, restaurant payout and rider payout are computed per order and settled on a schedule — not in a spreadsheet.

  5. 05

    You can see the whole city

    Live orders, idle riders, failing zones and repeat customers on one screen, in time to do something about them.

  6. 06

    Growth is a setting, not a rebuild

    A second city, a new fee band, a new commission tier — configuration in the console, not a development cycle.

10Why CodeBuzzers

Most clone vendors sell you a licence.
We hand you the asset.

A generic clone script

  • A customer app
  • A basic restaurant panel
  • Whatever workflows the script shipped with
  • Reporting you cannot change
  • A licence to renew, and a vendor who can switch it off

A business-ready platform

  • A customer experience designed around your market
  • Restaurant operations your vendors will actually use
  • A delivery ecosystem with dispatch you can tune
  • An admin console built as a product, not an afterthought
  • Analytics on the numbers you run the business by
  • Automation and AI where they move a number
  • Architecture that holds through the dinner rush
  1. 01

    Product thinking before development

    We scope the business model first — commission structure, dispatch rules, who absorbs a refund — because those decisions shape the data model, and the data model is expensive to change later.

  2. 02

    Four surfaces, one team

    The same people build the customer app, vendor panel, rider app and console. Handoffs between products are where clones break, so nobody hands off.

  3. 03

    The admin console is a real product

    Not a database viewer with a login. It is where you set commissions, tune dispatch and settle payouts — so it gets designed, not generated.

  4. 04

    Load-tested against the peak

    Signed off against dinner-rush concurrency before launch, not discovered on the first busy Friday. Services separated so one spike cannot take the order path down.

  5. 05

    You own the source, outright

    Full repository handover, your infrastructure, your app store accounts. No licence to renew and no vendor who can switch you off.

  6. 06

    Still here after go-live

    Monitoring, on-call and an iteration budget. A marketplace is not finished at launch — it is barely started.

Marketplaces that took real orders.

8+ years building delivery and marketplace software, with 50+ people in-house. No logo wall here — logos prove an invoice was paid, not that the thing held up on a Friday night.

  • Food & beverage delivery

    Ordering, kitchen dispatch and rider tracking for restaurant groups and aggregators.

  • Grocery & quick commerce

    Dark-store inventory, slot delivery and substitution flows under tight delivery promises.

  • On-demand services

    Provider matching, scheduling and job lifecycle for at-home service marketplaces.

  • Marketplace operations

    Commission engines, three-way settlement and the admin tooling that runs them.

The CodeBuzzers team working through a build together

Ask any vendor for the repository terms in writing.

It is the single question that separates a marketplace you own from one you rent. If the answer involves an annual licence, a locked admin panel or a "white-label platform fee", you are not buying an asset.

11Investment

How much does it cost to build a Zomato-like app?

It depends on how much of the business you are building, and the honest answer has three levels rather than one number. Roughly sixteen weeks gets you a marketplace you can launch.

We will not quote a figure before we have seen your scope.

Any agency posting a fixed price for "a Zomato clone" is either selling a template you will outgrow, or planning to re-quote once you have signed.

  1. 01

    MVP

    One city, proving the model

    Customer app and vendor panel, a defined restaurant list, one payment provider, one language. Riders coordinated manually or added in phase two.

  2. 02

    Growth platform

    Live, and scaling supply

    All four surfaces, self-serve restaurant onboarding, automated dispatch, coupons and loyalty, full settlement and the analytics to run it.

  3. 03

    Enterprise marketplace

    Multi-city or multi-country

    Multiple cities, currencies and languages, zone-level economics, subscription tiers, in-house dispatch tuning, and the SLAs and monitoring that go with scale.

Five phases, each with what actually ships at the end of it

  1. 01

    Scope and architecture

    Weeks 1–2

    Feature list signed off, data model, dispatch rules, commission structure, wireframes for all four surfaces.

  2. 02

    Customer app and catalogue

    Weeks 3–6

    Browse, search, cart, checkout, payments, order placement. Restaurants and menus loadable.

  3. 03

    Vendor panel and rider app

    Weeks 7–10

    Order acceptance, prep times, menu management, rider assignment, routing, proof of delivery.

  4. 04

    Admin console and settlement

    Weeks 11–14

    Onboarding, commissions, dispatch rules, refunds, analytics, three-way payout reconciliation.

  5. 05

    Hardening and launch

    Weeks 15–16

    Load testing against peak, store submissions, pilot in one zone, monitoring and on-call.

What pushes the number up

  • More than one city or language at launch
  • Subscription tier, loyalty or wallet
  • Dine-in, table booking or pickup alongside delivery
  • In-house dispatch tuning rather than off-the-shelf
  • Custom rider incentive and surge models

What brings it down

  • One city, one language for the pilot
  • Off-the-shelf payment and mapping providers
  • Launching customer + vendor first, rider app in phase two
  • Using our existing component library and admin scaffolding
  • A defined catalogue rather than open marketplace onboarding

Questions buyers ask before they commit

It is a food-delivery marketplace built to work the way Zomato works — customers browse restaurants and order, restaurants accept and cook, riders deliver, and you run the platform and take a commission. It is your brand, your data and your business rules. It is not Zomato's software, and we have no relationship with them.

Zomato is a trademark of its respective owner, used here only to describe the category of application CodeBuzzers builds. We are not affiliated with, endorsed by or connected to Zomato, and we use none of their code, designs or brand assets.

12Next step

Your marketplace starts
with the product.
We build the system behind it.

From customer ordering to restaurant operations and last-mile delivery, CodeBuzzers can design and engineer the complete platform around your business.

Tell us which cities, which of the four surfaces you need first, and whether you are starting from a restaurant network or building one. That is enough for a phase-by-phase estimate rather than a guess.

Book a strategy call
  • Full source code handover
  • Fixed phases with named deliverables
  • No licence fee, ever
Tandoori chicken close up, charred at the edges