AI visual and style search
Shoppers find similar styles from a photo, which is increasingly how fashion discovery works on mobile.
AI-Built Myntra Clone
Fashion Myntra Clone App Development
An AI-first build of the fashion marketplace model: visual and style search that drives discovery, fit-and-return intelligence that protects margin, and personalized feeds that keep shoppers browsing. 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
$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
Fashion commerce by the numbers
Fashion returns are a product problem. We engineer for it.
- /012010Operating Since15+ years
- /029,000+Projects Deliveredacross 35+ industries
- /033,900+Apps Publishedin 25+ countries
- /0490+Ready Platforms in Cataloglive in production
overview
What is a Myntra-style fashion marketplace?
A Myntra-style fashion marketplace is a multi-brand apparel and lifestyle platform built around how fashion commerce actually behaves: discovery is visual, sizing is the hard inventory problem, and returns are structural rather than exceptional. Brand storefronts, lookbooks, style feeds, and AI-assisted search do the merchandising, while the platform tracks the full size-and-color matrix behind every listing.
The purpose is to run fashion profitably. Generic carts fail here because a dress is not a SKU, it is eight SKUs across sizes and colors, and because fit-driven returns eat margin when they are treated as an ops afterthought. This platform treats return-reason analytics as a product feature that helps brands fix sizing charts, which protects everyone's unit economics.
The platform includes a buyer app with visual search, lookbooks, and fit feedback reviews, a brand and seller panel with lookbook builders, variant matrices, and return analytics, and an admin panel governing brand onboarding, category commissions, sale events, curation, and arbitration.
Online fashion keeps taking share from physical retail according to widely published industry analyses, and regional players who combine curation with fit-honesty retain customers that global platforms churn. A code-owned build lets a fashion operator ship that experience in days, with every brand relationship and return insight landing on your ledger.
Main features of our Myntra-style fashion marketplace
The platform-level capabilities above the role panels, built for apparel reality.
Brand storefronts and lookbooks
Brands curate their own pages with lookbooks and banners, giving the marketplace editorial depth that plain listings lack.
Full variant matrix inventory
Size and color tracked per SKU so availability is accurate at add-to-cart, the top complaint in fashion app reviews solved properly.
Fit feedback and return analytics
Reviews capture fit data and return reasons by style and size, so brands fix sizing charts instead of eating return costs.
Season sale events
Flagship sales with countdowns and early access configured by the admin, concentrating demand the way the fashion calendar always has.
Personalization and custom options
Structured options from engraving to photo uploads captured at listing level and enforced at checkout.
Loyalty program tiers
Cross-brand points and tiers configured by the admin, keeping shoppers inside your ecosystem.
Exchange-first returns flow
Reason-coded returns and exchanges with admin arbitration, engineered as a normal flow rather than an exception.
Who should launch a Myntra-style fashion marketplace?
What these buyers share: brand relationships or style audiences already in hand, and the intent to own the platform where fashion discovery happens.
Fashion retailers and Multi-brand boutiques
Going online at scale with storefront tooling that respects the brand relationships they hold.
Creator-led brands
Curation and editorial depth are exactly what an audience-driven launch needs, and lookbooks give the feed its voice.
Thrift and resale founders
Whose inventory is one-of-a-kind by nature and needs variant-flexible, story-rich listings.
Regional distributors
Digitizing brand portfolios with settlement transparency and return analytics per label.
Software agencies
Deploying fashion commerce platforms for retail clients, with brand tiers and sale calendars configured per market.
Feature panels for your fashion marketplace
Apparel commerce is visual, size-sensitive, and return-heavy. Every panel accounts for that. All three sync to one backend.
Buyer app
A style-first shopping experience that keeps users browsing between purchases.
- ✓Visual and AI style search
- ✓Lookbook and style feeds
- ✓Size guides and fit hints
- ✓Brand storefronts
- ✓Wishlist price alerts
- ✓Try-on-ready product pages
- ✓Season sale countdowns
- ✓Reviews with fit feedback
- ✓Personalized style feeds tuned to browsing and fit history
- ✓Easy exchange requests
- ✓Loyalty program tier
Seller and brand panel
Tools for brands and boutiques to merchandise like pros.
- ✓Brand store customization
- ✓Seasonal catalog uploads
- ✓Size and color matrix management
- ✓Lookbook builder
- ✓Suggested stock levels from demand and return analytics
- ✓Discount and EORS scheduling
- ✓Return reason analytics
- ✓Inventory per SKU variant
- ✓Campaign participation tools
- ✓Commission statements
- ✓Photo guideline checks
Admin panel
Curate the fashion economy you are running.
- ✓Brand and seller onboarding
- ✓Commission rules per category
- ✓Sale event configuration
- ✓Return and exchange arbitration
- ✓Catalog quality review
- ✓Trend merchandising tools
- ✓Fraud detection
- ✓Push campaign builder
- ✓Loyalty configuration
- ✓Revenue analytics
The admin control plane: running the fashion marketplace as an operator
Four consoles, one view of the marketplace's curation, returns, and revenue position.
Brand and catalog curation console
Brand onboarding with photo-guideline enforcement, listing quality scoring, editorial merchandising tools, and storefront customization review, so the catalog stays aspirational as brand count grows.
Returns and arbitration console
Return and exchange queues with reason-code analytics, admin arbitration with the audit trail attached, refund reversals across money, commission, and loyalty in one motion, and return-rate dashboards per style and size.
Seasons and revenue administration
Sale-event configuration with early-access participation, commission bands per category and brand tier, subscription plan definitions, campaign slot pricing, and revenue reporting split by every line.
Trust and demand analytics
Fit and return prediction feeding brand dashboards, fraud screening over return abuse and review networks, size-curve demand forecasts per season, and settlement reconciliation across the four wallets.
How your fashion marketplace works: discovery to exchange
The product journey, end to end.
- 01
Brands onboard and merchandise
Brands pass KYC, build storefronts with lookbooks, and load the full size-and-color matrix per SKU with photo guidelines enforced.
✓ step 01 complete - 02
Shoppers discover by style
Visual and AI style search, lookbook feeds, and brand storefronts do the merchandising; size guides and fit hints set expectations before the tap.
✓ step 02 complete - 03
Order with variant accuracy
Inventory tracks the size and color matrix so availability is accurate at add-to-cart, and checkout captures exchange-friendly order details.
✓ step 03 complete - 04
Fulfill and track
Sellers process from their queue, schedule courier pickups, and buyers follow live tracking with refund-status visibility.
✓ step 04 complete - 05
Return or exchange with reasons
Returns and exchanges request reason codes, sellers process in-panel, and admin arbitrates exceptions; the analytics panel shows which styles and sizes drive returns.
✓ step 05 complete - 06
Review, restyle, restock
Reviews with fit feedback publish, season sale countdowns re-engage wishlists, and brands restock against the return analytics.
✓ step 06 complete
AI inside the marketplace
Five model-driven systems working the same style stream. Each ships pre-tuned for fashion commerce and sharpens as your data compounds.
Visual and style search
Finds similar styles from a photo and ranks the style feed per shopper, which is how fashion discovery increasingly works on mobile.
Reads
Product imagery, browsing history, wishlist behavior
Changes
Discovery that converts on look, not filters
Fit and return prediction
Flags styles and sizes with elevated return risk from fit feedback and return reasons, before the order ships.
Reads
Fit reviews, return reasons, size charts, style history
Changes
Return rates brands and the platform can manage
Personalized style feeds
Ranks the home feed per shopper from browsing, fit history, and brand affinity, so no two shoppers see the same storefront.
Reads
Browsing, purchase history, brand affinity, size profile
Changes
Longer sessions and higher repeat purchase rates
Demand and size forecasting
Projects demand per style, size, and season so brands stock the size curve instead of guessing it.
Reads
Sales curves, seasonal patterns, regional demand
Changes
Fewer stockouts on the sizes that sell
Fraud screening
Flags return abuse, collusive reviews, and brand-policy violations before they distort curation or drain settlements.
Reads
Return patterns, review networks, account signals
Changes
Curation that stays honest at scale
platform concepts
Concepts that run a fashion marketplace
Every order walks a state machine tuned for apparel. Placed, paid, fulfilled, shipped, delivered, returned, exchanged: each transition is an idempotent event, and the variant matrix tracks stock per size and color under one SKU so availability is accurate at add-to-cart, not at the warehouse.
Fashion economics run on brand tiers, category commissions, and events. Commission sets per apparel category and brand tier, brand advertising sells featured storefronts and campaign slots, and flagship sale events with early-access participation fees concentrate demand the way the fashion calendar always has. Everything prices from the admin panel, so seasonal strategy ships as settings.
The brand catalog is a curation system. Onboarding carries photo guidelines and listing quality scoring, returns capture reason codes at request time so brands see which styles and sizes drive their return rates, and admin arbitration handles exceptions with the audit trail attached. Curation keeps the marketplace shoppable as brand count grows.
Feature groups that decide whether fashion converts
Four groups, each mapped to the part of the apparel promise it protects.
The variant matrix
Every colour and size resolved to its own SKU row with its own price, stock, discount, and low-stock threshold, so a sold-out medium marks one variant unavailable while the listing keeps selling, and a size quietly running down never hides inside a healthy product row.
Returns as core flow
A refund request carries reason codes and evidence and walks its own state machine so nothing settles twice, commission and loyalty points reverse alongside the money, and return analytics feed straight back into brand buying and size curves.
Visual merchandising
Multi-image galleries with zoom and colourway switching, photo reviews with fit feedback, brand storefronts with lookbook builders, and visual plus AI style search, because a garment that photographs badly will not sell at any price.
Seasons and events
End-of-season sales scheduled with early-access participation, countdowns re-engaging wishlists, a clearance storefront for short-dated stock, and brand subscription tiers carrying reduced rates as the recurring-revenue layer.
How your fashion marketplace earns
Commission on completed orders, set per apparel category and brand tier.
Brand advertising: featured storefronts, banner slots, and campaign sponsorships.
Seller subscription tiers with visibility and analytics benefits.
Early-access sale participation fees during flagship events.
Everything is admin-configurable, so seasonal pricing strategies ship as settings, not sprints.
Revenue lines, typical ranges, and what sets each ceiling
Six monetization lines across the fashion marketplace, 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 |
|---|---|---|---|---|
| Reversible commission | A percentage per completed order, set per category, brand, or product; reversed automatically on refund | Apparel commissions commonly run 15% to 40%, the widest bands in retail | Return-adjusted economics. With a fifth of orders returning, commission that does not reverse means restating revenue every month | |
| Brand subscription tiers | Monthly plans with reduced commission, storefront perks, and campaign access | Plan prices set per market | Brand economics. Tiers sell when the saving on a real return-adjusted margin beats the plan price | |
| Shipping margin | A configurable mark-up on the shipping charge | Set per zone and weight band | Return shipping. Free-return promises only work when the reverse leg is priced into the forward one | |
| Sale-event participation | Fees for early access to flagship events and featured campaign slots | Priced per event or per slot | Calendar trust. A sale season shoppers plan around is the inventory being sold | |
| Brand advertising | Featured storefronts, campaign slots, and homepage placement sold to brands | Auction or fixed-rate per slot | Curation integrity. Placement earns while editorial curation keeps the storefront aspirational | |
| Clearance velocity | Commission on the clearance storefront's short-dated stock | Same commission bands, faster turns | Markdown discipline. Clearance converts dead stock into cash without training buyers to wait for it |
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. No per-order licensing, no vendor lock-in.
White-label branding
Your logo, colors, typography, and store accounts applied 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 at go live.
Payment integrations
Stripe, PayPal, and regional gateways configured, with automated split payouts across platform, sellers, and partners.
AI models Pre-tuned
Visual search, fit prediction, and personalized feeds arrive configured for fashion commerce, 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 checkout for peak-hour traffic.
Admin analytics and reports
Sales dashboards, 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.
What powers the platform
Image-heavy commerce demands aggressive performance work.
React native apps
Image-first product feeds with CDN-backed delivery and prefetching, tuned so lookbooks scroll smoothly on mid-range devices.
Visual search
AI-assisted image search lets shoppers find similar styles from a photo, which is how fashion discovery increasingly works.
Variant inventory engine
Size and color matrices tracked per SKU so out-of-stock states are accurate, the number one complaint in fashion app reviews.
Returns intelligence
Return reason analytics per style and size help brands cut fit-related returns, protecting your unit economics.
Cloud and scale
AWS or Azure with autoscaling and CDN-backed imagery, load-tested for sale-event traffic before launch.
Integrations
Courier partners, accounting exports, SMS and email providers, and loyalty tooling 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 rate-limited endpoints come standard, so compliance questions have answers before they are asked.
Your launch timeline: 6 working days to first orders
The almost-ready build, day by day. Store review can add a short buffer outside our control; custom builds run 3 to 4 weeks.
- 01
Days 1-2: scope lock and branding
Categories, brand tiers, and commission model locked with a written scope, and your visual identity applied across buyer, brand, and admin surfaces.
✓ step 01 complete - 02
Days 3-4: configuration and integration
Payment gateways, couriers, sale calendars, and photo-guideline standards configured and tested.
✓ step 02 complete - 03
Days 5-6: seller onboarding and pilot
Brands and catalogs onboarded with variant matrices loaded, then pilot orders run end to end: discovery, variant checkout, return, exchange, and settlement.
✓ step 03 complete - 04
Days 7-9: store review and go live
App store and Play Console submissions with review buffers accounted for, production monitoring switched on, and full launch with post-launch support and product updates included.
✓ step 04 complete
Ready-made speed or custom scope: the real Trade-offs
Both tracks ship the same catalog and returns 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 | Recommendations, ranking, and personalization pre-tuned for marketplace commerce | AI services designed around your workflows and data |
| Merchandising tools | Lookbooks, sale events, and curation pre-configured | Any merchandising or loyalty model engineered to spec |
| Branding | White-label: your name, colors, and store accounts | Built to your product spec end to end |
| After launch | Post-launch support and product updates included | Post-launch support and product updates included |
$ moxace launch --nowSee the style feed run before you commit.
Book a walkthrough and we will demo visual search, variant checkout, and return analytics 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 AI styling or loyalty modules add scoped estimate work.
Categories and Brand Tiers
Commission tiers, sale calendars, and language packs are configured per market. Adding categories or brands means more configuration, never a rebuild.
Integrations
Payment gateways, couriers, and loyalty tooling are wired during the build, and each integration is estimated individually.
AI tuning depth
Out of the box, visual search, fit prediction, and feeds are pre-tuned for fashion commerce. Training models on your historical style and return data is an optional, separately scoped workstream.
Add-on modules that deepen the fashion marketplace
Each ships as an optional module on the same commerce core, scoped separately.
Own-fleet delivery module
KYC'd agents, assignment feed, OTP handover, and reverse-logistics pickups scheduled from the returns pipeline, so the forward and return legs both stay under your brand.
Sizing and fit layer
Size charts, fit hints, and a fit-recommendation engine trained on your own return reasons and fit feedback, custom-scoped because honest sizing is engineered, not toggled.
Lookbook and editorial studio
Rich lookbook builders, styling content rails, and creator collabs inside brand storefronts, turning the catalog into editorial that keeps shoppers browsing between purchases.
Livestream shopping
Live try-on and drop events inside the app with cart attached, the engagement format fashion discovery is increasingly moving to.
White-label deployment tier
Run the platform as separate branded deployments per client or region, with brand tiers and sale calendars configured per deployment, on one codebase you own.
/20
Why operators pick our Myntra-style build
Fashion punishes generic carts. This build treats the variant matrix and returns as core engineering.
Variant-native inventory
Size and color matrices, photo guidelines, and quality scoring are product logic, because a dress is never one SKU.
Returns as a feature
Reason-coded returns and fit analytics protect every brand's unit economics instead of hiding the problem in ops.
Full ownership
One hundred percent of the source code transfers to you. No per-order royalties, no black-box dependencies.
Battle-tested category
Fashion commerce is proven at scale, and teams often extend it with our retail software development or eCommerce app development tracks for omnichannel retail.
Deployments that prove the architecture
Named deployments from our own portfolio, with metrics reported from production, not projections.
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
Marvel Studios
A streaming platform our team ships and operates, engineered so premiere-night surges never dent the viewing experience.
10M+
Streams
65%
Completion
Flyereats
A high-volume ordering platform from the same engineering system, with recommendation and settlement engines running at consumer scale.
2M+
Orders Delivered
32%
Faster Dispatch
Frequently asked questions
Security and integrity: what the returns pipeline protects
In apparel the returns flow is where money is made or lost. These controls keep it honest.
Refunds settle exactly once
A refund request walks its own state machine with reason codes and evidence, so nothing double-settles, and the reversal covers money, commission, and loyalty points in one motion.
Stock truth lives at the SKU
Per-variant quantities with low-stock thresholds mean a size running down is visible before it dies quietly inside a product that looks healthy at listing level.
Return reasons become intelligence
Reason codes captured at request time feed the fit-prediction model and brand dashboards, so return rates become a managed number instead of a monthly surprise.
Curation stays editorial
Photo-guideline enforcement and listing quality scoring keep the storefront aspirational, and fraud screening flags return abuse before it distorts the curation signals.
Wallet histories are append-only
Every balance movement across the four wallets writes an append-only history row, so brand payouts, reversals, and settlements replay exactly.
the process
What to expect from our team
The engagement starts with a discovery call that locks categories, brand tiers, and commission model, and ends with a written quote and dated launch plan. On the almost-ready path your visual identity is applied across the apps, payments and couriers are connected, and the platform launches inside the 6 to 9 day window. Custom work, such as AI styling or loyalty modules, is scoped per sprint with staging access.
After launch you have included support and product updates. The first 90 days realistically focus on brand onboarding and catalog quality in weeks one to four, tuning commissions, sale scheduling, and return rules against real fit and return data in weeks five to eight, and by week twelve your first flagship sale event, planned from dashboards instead of guesswork.
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.
Delivery App
- Delivery runs
- OTP proof
- Earnings
Delivery: [email protected] or +91 9876543212 | Delivery_$321
$ moxace launch --nowLaunch the fashion destination your city has been waiting for.
Book a free scoping call: written plan, fixed quote, and a launch date inside the 6 to 9 day window.
- 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 Myntra.
Why This Name
The phrase “Myntra 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 Myntra website, applications, or brand assets.
Trademarks
Myntra 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.