Multi-product search
Flights, hotels, and packages under one search, cart, and wallet, with flexible-date views and fare calendars.
AI-Built Yatra Clone
Yatra Clone App Development
An AI-first build of every booking mechanic: fare prediction that tells travelers when to book, personalized destination ranking, and supplier aggregation that stays fast when partners are slow. Three 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
$3,999
- 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
Moxace travel platforms by the numbers
Canonical facts behind every booking build.
- /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 Yatra-style travel booking platform?
A travel booking platform sells flights, hotels, and holiday packages through one interface, with real inventory from suppliers and booking, payment, and cancellation handled end to end. The Yatra-style model serves both leisure travelers and travel agents who book on behalf of customers.
The purpose is to aggregate fragmented supply into bookable, comparable products and to earn commission and service fees on every transaction. Operators launch these platforms because travel is high-frequency, high-value commerce, and because an agent and supplier network creates a defensible channel that pure consumer apps lack.
A complete build includes the traveler app, a supplier and agent panel, and an admin console, over a booking state machine with idempotent supplier calls, a policy engine for fare rules, and margin and markup configuration.
Online travel is one of the largest ecommerce categories worldwide, dominated by global players but with persistent regional platforms that win on local payment methods, agent networks, and market-specific inventory. Treat market-size figures as directional; the engineering fact is that fare changes and cancellation policies decide whether customers trust the platform.
Main features of our Yatra-style platform
The headline layer above the per-panel detail.
Honest fare display
Total price including fees from the first screen, with fare rules surfaced before payment.
Machine-readable cancellation rules
Per-supplier windows, change fees, and refund tiers enforced by the booking engine, not improvised by support.
Supplier panels
Hotels and package operators manage rates, allotments, and stop-sell themselves, keeping inventory current.
Agent channel
Travel agents book on behalf of customers with agent-specific commissions and statements.
Dynamic packaging
Flight plus hotel bundles priced with rules-based margins in real time.
Wallet and promotions
Stored value, promo codes, and campaign pricing configurable per market and season.
Who should launch a Yatra-style platform?
What these buyers share: supplier relationships or a market they know, and the intent to earn the commission instead of paying it.
Travel entrepreneurs with supplier ties
Launch a regional OTA where global players are weak on local rails and support, with fare prediction keeping your pricing competitive.
Travel agencies going digital
Move your business online and keep the agent channel, with agent accounts booking on behalf of customers inside the platform.
Hotels, dMCs, and package operators
Go direct and capture the commission margin yourself, with dynamic packaging pricing the bundles you assemble.
B2B and corporate travel providers
Run the same engine with agent accounts as the primary surface, and policy enforcement doing the compliance work.
Ecommerce and fintech operators
Add travel as a high-value vertical on a white-label base, with the booking core running behind your existing brand.
Feature panels of your Yatra-style platform
Three products operating as one booking system. Every panel ships in every build.
Traveler app
Search to boarding pass without friction.
- ✓Flight search with flexible dates
- ✓Hotel search with map view
- ✓Holiday package browsing
- ✓Fare hold and price calendar
- ✓Seat and meal selection
- ✓Wallet and promo codes
- ✓Cancellation and refund requests
- ✓E-tickets and vouchers offline
- ✓Trip itinerary timeline
- ✓Rebooking from trip history
Supplier and agent panel
Hotels, package operators, and travel agents self-serve.
- ✓Inventory and rate management
- ✓Seasonal pricing calendars
- ✓Allotment and stop-sell controls
- ✓Package builder with day plans
- ✓Booking manifest and traveler lists
- ✓Commission statements
- ✓Availability synchronization
- ✓Review management
Admin panel
Run suppliers, margins, and service from one console.
- ✓Supplier onboarding and contracts
- ✓Commission and markup rules
- ✓Rate-anomaly flags on supplier feeds
- ✓Cancellation policy per supplier
- ✓Refund and dispute workflow
- ✓Promotion and coupon engine
- ✓Dynamic packaging margin rules
- ✓Finance reconciliation
- ✓Reporting exports
The admin control plane: running travel as an operator
Four consoles, one view of suppliers, booking, and money.
Suppliers console
Supplier onboarding and contracts with commission and markup rules, rate-anomaly flags on supplier feeds, and cancellation policy configuration per supplier.
Inventory console
Fare and rate feed monitoring, hold-expiry and re-confirmation oversight, and cache labeling policy keeping search honest.
Service console
The refund and dispute workflow resolving from machine-readable rules, promotion and coupon engine administration, and traveler support tooling.
Money console
Finance reconciliation across suppliers and currencies, packaging margin rules, campaign and advertising administration, and reporting exports.
How a travel booking works: search to ticket
The traveler journey across flights, hotels, and cancellations.
01
Search and compare
Travelers search flights or hotels by date and budget, with fare calendars and flexible-date views showing where the price drops.
02
Select and review fare
The traveler picks an option and sees the fare rules up front: baggage, changes, and the cancellation window that will apply.
03
Passenger details and payment
Traveler information, add-ons, and payment complete the booking, with the total price held honest at every step.
04
Ticket or voucher issued
Airline tickets, hotel confirmations, and e-vouchers generate immediately and appear in the traveler's account and inbox.
05
Manage the trip
Cancellations, date changes, and refund requests run through self-service within the fare rules attached to the booking.
06
Refund or travel
Cancelled bookings refund to the original payment method per policy, and completed trips feed recommendations for the next search.
AI inside the platform
Five model-driven systems working the same booking stream. Each ships pre-tuned for online travel and sharpens as your data compounds.
Fare prediction
Forecasts route-level fare movement so fare calendars and price alerts tell travelers when to actually book.
Reads
Historical fare curves, seasonality, day-of-week patterns
Changes
Price alerts that convert instead of training users to ignore them
Personalized destination ranking
Ranks destinations and hotels per traveler from search and booking history instead of one global list.
Reads
Search history, bookings, budget signals, travel party size
Changes
Higher conversion from the same supplier inventory
Dynamic package pricing
Prices flight plus hotel bundles with margin rules that adapt to demand and component costs.
Reads
Component prices, demand signals, margin rules
Changes
Bundle margin you control without manual repricing
Supplier anomaly detection
Watches supplier feeds for rate glitches and stale caches before they sell at the wrong price.
Reads
Feed freshness, rate distributions, historical norms
Changes
Mispriced inventory caught before it becomes a loss
Booking-fraud screening
Scores payment risk on high-value bookings before tickets and vouchers are issued.
Reads
Payment signals, route risk, booking velocity
Changes
Fewer chargebacks on non-refundable inventory
platform concepts
Concepts that run a travel platform
The cancellation window is a policy engine, not a paragraph of fine print. Every fare and rate carries machine-readable rules: free-cancellation cutoffs, partial refund tiers, and change fees, and the booking state machine enforces them so support never improvises a refund.
Inventory is brokered through suppliers and must reconcile. Fares and room rates come from global distribution systems and hotel APIs, holds expire if not ticketed, and price changes between search and issuance are handled with explicit re-confirmation rather than silent surprises.
Search quality is freshness plus honesty. Cached fares are labeled as such, the total price includes fees from the first screen, and the fare calendar learns from actual issuance, because a traveler burned by a bait price books the competitor next time.
How your travel platform earns
Commission on flights, hotels, and packages, set per supplier and per product line in the admin panel.
Service fees on cancellations, date changes, and premium support, configurable by ticket class.
Markup on dynamic packaging: flight plus hotel bundles priced with rules-based margins.
Supplier advertising: featured hotels, sponsored destination pages, and seasonal campaign slots.
Every margin, fee, and campaign is admin-configurable, so you can tune unit economics per route and season without a code release.
Feature groups that decide whether travelers book again
Four groups, each mapped to the part of the travel promise it protects.
Cancellation as policy engine
Every fare and rate carrying machine-readable rules, free-cancellation cutoffs, partial refund tiers, and change fees enforced by the booking state machine, so support never improvises a refund.
Brokered inventory
Fares and room rates from global distribution systems and hotel APIs with holds expiring if not ticketed, price changes between search and issuance handled with explicit re-confirmation, and rate-anomaly flags on supplier feeds.
Honest search
Cached fares labeled as such, totals including fees from the first screen, fare calendars learning from actual issuance, and dynamic packaging bundling flight plus hotel with rules-based margins.
Trips and money
Commission per supplier and product line, service fees on cancellations and changes, supplier advertising with sponsored destination pages, and finance reconciliation across multi-currency settlement.
insight
The market numbers behind the online travel opportunity
Online travel booking keeps compounding past the eight-hundred-billion-dollar mark globally by 2030 on widely published forecasts, with flights and hotels the anchor categories and dynamic packaging the highest-margin line. The wedge for new operators is regional depth and supplier relationships the global OTAs under-serve.
The engineering wedge is the cancellation policy engine and inventory reconciliation: machine-readable rules and honest price presentation are what keep travelers booking again, and reconciled supplier feeds are what keep the margin real. The revenue table below quantifies the lines.
Revenue lines, typical ranges, and what sets each ceiling
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 |
|---|---|---|---|---|
| Booking commissions | Per-booking commission by supplier and line | OTAs commonly 10% to 25% hotels, 2% to 5% flights | Supplier terms. Commissions hold while volume justifies rates | |
| Service fees | Cancellation, change, and premium support fees | Fees commonly $10 to $100+ per change | Policy clarity. Fees earn while rules stay machine-readable | |
| Packaging margins | Rules-based margins on flight-plus-hotel bundles | Margins commonly 8% to 20% per package | Bundle appeal. Margins hold while bundles actually save | |
| Supplier advertising | Featured hotels and sponsored destination pages | Ads commonly 2% to 6% of GMV | Search trust. Ads earn while organic ranking stays honest | |
| Ancillaries | Insurance, transfers, and activities at checkout | Attach commonly 10% to 30% of bookings | Checkout friction. Ancillaries earn while they attach cleanly | |
| White-label deployments | Branded instances for regional operators | Deployments commonly $10,000 to $100,000+ | Market demand. Deals close while per-tenant config stays cheap |
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 every panel, plus branded customer communications.
Store submission and launch
App store and Play Console submissions handled end to end, with production monitoring switched on.
Payment integrations
Gateway integrations with 3-D Secure and multi-currency settlement configured for travel checkout.
AI models Pre-tuned
Fare prediction, personalized ranking, and fraud screening arrive configured for online travel, 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 intake for peak traffic.
Admin analytics and reports
Operational dashboards, finance reconciliation views, and CSV exports so your 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
Fares change in milliseconds and policies vary by supplier. The architecture has to keep up.
Booking state machine
Every booking moves through hold, ticketed, canceled, and refunded states with idempotent supplier calls, so payment and inventory never drift apart.
Fare caching
Short-lived fare and availability caches with revalidation at checkout, the pattern that prevents the classic price-changed-after-payment failure.
Policy engine
Supplier-specific cancellation windows, change fees, and refund SLAs enforced in code and surfaced to travelers before they pay.
Cloud infrastructure
Containerized services with autoscaling for seasonal peaks. For a fully bespoke build, see our AI travel app development track.
Integrations
GDS and supplier feeds, insurance providers, mapping, analytics, and messaging platforms ship as configured integrations, so the platform plugs into the tools your operations already run on.
Security and compliance
Role-based access, append-only audit logs, encrypted traffic and secrets, and PCI-scoped payment flows come standard, so supplier and card-scheme due diligence has answers before it is asked.
Launch timeline: bookings live in 6 working days
The almost-ready AI build, day by day. Store review times can add a short buffer outside our control.
- 01
Days 1-2: scoping and branding
Product lines, supplier list, and commission structure locked with a written scope, and your identity applied across all three panels.
✓ step 01 complete - 02
Days 3-4: configuration and integration
Payment gateways, supplier API keys, cancellation policies, and margins configured and tested against your live accounts.
✓ step 02 complete - 03
Days 5-6: supply onboarding and pilot
Hotel and package inventory imported with rates, allotments, and policies, then live test bookings run end to end: search, hold, pay, ticket, cancel, refund.
✓ 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: the honest comparison
Both tracks ship the same booking 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, forecasting, and personalization pre-tuned for the vertical | AI services designed around your workflows and data |
| Supplier coverage | Your contracted suppliers connected through proven adapters in the build window | Custom adapters and packaging logic built to your supply agreements |
| 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 booking engine before you commit.
Book a walkthrough and we will demo multi-product search, the hold flow, and the admin console 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
No two launches price the same. These are the factors that shape the written quote you receive after scoping.
Scope of customization
The almost-ready AI build covers the proven feature set. Custom supplier integrations, dynamic packaging logic, or agent networks add scoped estimate work.
Markets and currencies
Language packs, currency setups, and tax display are configured per market. Adding markets means more configuration, never a rebuild.
Integrations
Supplier APIs, insurance providers, and regional payment gateways are wired during the build, and each integration is estimated individually.
AI tuning depth
Out of the box, fare prediction, personalized ranking, and fraud screening are pre-tuned for travel. Training models on your historical booking data is an optional, separately scoped workstream.
Add-on modules that deepen the platform
Extend the Yatra-style build once the core booking loop is running.
Holiday packages studio
Curated itinerary packages with day-level planning and supplier orchestration, the margin-rich product line of travel.
Loyalty and wallet pack
Travel wallet with co-branded points and expiry rules, converting one-off bookings into habitual ones.
Corporate travel mode
Business travel with approval flows, policy compliance, and consolidated invoicing, anchoring weekday volume.
Price alerts and prediction
Fare-prediction alerts telling travelers when to book, the engagement feature that keeps the app installed.
Insurance and ancillaries
Travel insurance and transfer add-ons wired into checkout with per-route attach analytics.
White-label OTA reseller
Deploy the platform for regional travel brands under their own identity, with per-tenant supplier terms and margin configuration.
/21
Why operators pick our Yatra-style build
Booking engineering is unforgiving. We build for it.
Policy-first cancellations
Cancellation windows and refund rules are enforced by the booking engine, so travelers and support see the same truth.
Supplier-Friendly
Agent and hotel panels handle rates, allotments, and manifests without email chains, which is what keeps suppliers active.
Full ownership
100% source-code transfer with no per-booking royalties, proven across 3,900+ published apps.
Expand anywhere
Add cabs, buses, or visa services as new product lines. For ground transport, our taxi app development track extends the same platform.
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 travel platform our team ships and operates at national-carrier scale, the same bar every OTA build is held to.
1M+
Monthly Users
40%
Engagement Lift
Tipsyryde
A consumer booking platform from the same engineering system, proving transaction cores hold under city-wide, real-time load.
1.5M+
App Downloads
18 min
Average Pickup
4.8
Store Rating
Flyereats
A high-volume ordering platform proving payment and fulfillment pipelines stay reconcilable at scale, from the same discipline.
2M+
Orders Delivered
32%
Faster Dispatch
Frequently asked questions
Security and integrity
Tap a card to see how the platform defends its bookings.
Cancellations Never Improvise
Every fare carries machine-readable cancellation rules enforced by the booking state machine, so support never improvises a refund and policy applies identically to everyone.
Holds Expire Honestly
Brokered inventory holds expire if not ticketed and price changes between search and issuance re-confirm explicitly, so travelers never meet a silent surprise.
Prices Tell the Truth Early
Cached fares label themselves and totals include fees from the first screen, because a traveler burned by a bait price books the competitor next time.
Supplier Feeds Stay Reconciled
Rate-anomaly flags watch supplier feeds and finance reconciles across currencies, so the margin the platform earns is the margin that actually exists.
Refunds Resolve From Rules
The dispute workflow resolves from machine-readable policy and booking states, with reconciliation views proving every settlement.
Margins Tune Without Code
Commissions, fees, and packaging margins configure per route and season from the admin panel, so economics move as fast as markets do.
Frequently asked questions
the process
What to expect as a Moxace client
The engagement starts with a discovery call covering product lines, suppliers, and commission structure, then a written quote. Once you approve, you hand over your brand assets and we configure the platform: your identity across all three panels, your gateways, supplier keys, and policies. 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, 60 days of included support and 12 months of updates matter unusually much in travel, because fare and rate edge cases appear within the first booking cycles. The first 90 days are supplier-and-trust work: loading real inventory with accurate policies, onboarding agents, monitoring price-drift between search and issuance, and proving that refunds settle on time. Travel platforms earn repeat booking through exactly those moments, so expect operational discipline, not launch day, to be the real milestone.
$ moxace launch --nowLaunch your travel booking platform this quarter.
Book a free consultation and get a written scope and 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 Yatra.
Why This Name
The phrase “Yatra 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 Yatra website, applications, or brand assets.
Trademarks
Yatra 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.