Myntra Clone Development: Full-Stack Guide to Launching a Fashion App

Let’s walk through how I approached the development lifecycle, which stacks I chose and why, and how I navigated each technical layer — from backend logic to the front-end experience.

Building an eCommerce app like Myntra is more than just cloning an online fashion store — it’s about engineering a dynamic, high-performance, user-friendly platform that can scale with trends and customer expectations. As a full-stack developer, I had the opportunity to build a Myntra clone app from scratch, using both JavaScript (Node.js + React) and PHP (Laravel) approaches.

What Myntra Does — And Why It’s Relevant in Today’s Market

Myntra is a household name in India’s fashion eCommerce sector. It’s not just a catalog of clothes — it’s a full-stack experience combining curated collections, hyper-personalized feeds, smooth checkout flows, fast-loading UI, and reliable logistics integration.

For startups and agencies building similar products — think niche fashion stores, white-label eCommerce solutions, or regional marketplaces — the Myntra model is gold. It sets the benchmark for:

• High-volume product listings with smart filters
• Personalized user dashboards
• Secure checkouts with wallet & UPI support
• Responsive PWA-style interfaces
• Robust seller management portals

This guide shows how I recreated that ecosystem from the ground up — and why you can too, using either a modern JS stack or a rock-solid PHP backend.

Tech Stack: Choosing Between JavaScript and PHP Approaches

When I started architecting the Myntra-style app, the first question I asked myself was: “Do I go with JavaScript end-to-end, or lean on PHP for backend stability?” The answer wasn’t either-or — both stacks are viable. But each comes with different trade-offs, and here’s how I approached it for both builds.

JavaScript Stack: Node.js + React

If you’re aiming for real-time responsiveness, high concurrency, and modern UI/UX capabilities, JavaScript is a no-brainer.

• Frontend: React.js
  React gave me component-level control, SSR support (with Next.js optionally), and reusable UI kits.
• Backend: Node.js with Express
  Lightweight and event-driven — perfect for APIs that need to scale horizontally. I used Express for routing, and MongoDB with Mongoose for the database layer.
• Advantages:
  • Unified language across stack
  • Built-in JSON support for APIs
  • Excellent for SPAs and PWAs
  • Fast development cycle with tools like Vite, Webpack
• Ideal for: Startups prioritizing speed, real-time UI, and scalable microservices.

PHP Stack: Laravel (or CodeIgniter)

For teams that prefer structured MVC, stability, and hosting flexibility, I explored Laravel as the backend and Blade templates on the frontend.

• Frontend: Laravel Blade or Vue (optional)
  Blade works well for server-rendered pages. If more interactivity is needed, Vue.js integrates smoothly with Laravel Mix.
• Backend: Laravel
  I loved Laravel’s Eloquent ORM, built-in Auth scaffolding, and rich ecosystem of packages (like Cashier for billing or Sanctum for APIs).
• Database: MySQL with Eloquent
  Relational DBs shine in inventory-heavy eCommerce, and Laravel’s migration system made schema versioning easy.
• Advantages:
  • Batteries-included approach (auth, queues, cache)
  • Rapid scaffolding
  • Developer-friendly syntax
  • Easier to host on shared/VPS environments
• Ideal for: Agencies, mid-scale businesses, or teams needing quick customization over a stable base.

My Take?
I used Node.js + React for a mobile-first MVP with API-first architecture. Later, I built a Laravel version for merchants wanting a monolith they could host and manage with a cPanel setup.

Both versions share the same functional logic but are tailored to different operational needs. It’s all about what your audience demands.

Database Design: Scalable, Flexible, and Ready for Growth

Designing the database for a Myntra-style fashion app isn’t just about storing product names and prices. It’s about creating a structure that can handle:

• Thousands of SKUs
• Variants like size, color, and fabric
• Smart filters (by price, rating, availability)
• Dynamic promotions and banners
• User profiles, carts, and orders

Here’s how I approached the database schema — for both NoSQL (MongoDB) and SQL (MySQL with Laravel’s Eloquent ORM).

---

JavaScript Stack (MongoDB + Mongoose)

MongoDB made sense for our Node.js build because of its flexible, nested document structure — especially for product variants and dynamic filters.

Example: products Collection (Simplified)

{
  "_id": "abc123",
  "title": "Men's Slim Fit Shirt",
  "brand": "Roadster",
  "categories": ["Men", "Shirts", "Casual"],
  "variants": [
    { "size": "M", "color": "Blue", "price": 799, "stock": 12 },
    { "size": "L", "color": "White", "price": 849, "stock": 5 }
  ],
  "ratings": 4.3,
  "images": ["/img1.jpg", "/img2.jpg"],
  "tags": ["cotton", "summer", "office"]
}

Key Collections:

• users: Profile, wishlists, addresses
• carts: UserID, items, timestamps
• orders: Status, payment, logistics
• filters: Dynamic tags for UI-based filters
• banners: Homepage promo sliders

Why MongoDB?
It lets you nest structures like variants, which avoids costly joins and keeps reads fast — ideal for a mobile-first storefront.

PHP Stack (MySQL + Laravel Eloquent)

With Laravel, I leaned into relational schemas. This approach is better suited for complex reporting, admin dashboards, and ACID compliance.

Example Tables:

• products
  • id, title, brand_id, description, category_id
• product_variants
  • id, product_id, size, color, price, stock
• orders
  • id, user_id, payment_id, status, total_amount
• order_items
  • id, order_id, product_variant_id, quantity, price
• users, carts, categories, promotions — each handled in normalized tables.

Laravel Features I Used:

• Migrations for version control
• Seeders for test data
• Model Relationships (hasMany, belongsTo) for tight coupling

Why MySQL?
It’s battle-tested for transactional systems. With the right indexing and caching, performance is solid even at scale.

Key Modules & Features: The Real Backbone of the Myntra-Like App

Recreating Myntra means more than a product page and a cart. The real magic lies in how users discover products, how admins manage content, and how the app handles large-scale interactions seamlessly. I’ll break down the essential modules and how I implemented them in both JavaScript (Node.js + React) and PHP (Laravel).

---

1. Product Discovery & Smart Filters

This is the heart of the platform — users browse, search, and filter hundreds of products with ease.

JavaScript Approach (Node.js + React)

• Backend: Node.js routes accepted query parameters like ?brand=Nike&size=M&color=Black.
• DB Query: MongoDB aggregations were perfect for handling multi-dimensional filters.
• Frontend: React used controlled components for filters and maintained state via Redux or Context API.

// Example: Node.js route
app.get("/products", async (req, res) => {
  const filters = { brand: req.query.brand, "variants.size": req.query.size };
  const products = await Product.find(filters);
  res.json(products);
});

PHP Approach (Laravel + Blade)

• Backend: Laravel controllers handled incoming filters via Request objects.
• DB Query: Eloquent with whereHas() for related models like variants.
• Frontend: Blade + jQuery or Vue handled dynamic updates.

// Laravel Controller
$products = Product::whereHas('variants', function($q) use ($request) {
  $q->where('size', $request->size);
})->get();

2. Admin Panel & Product Management

Admins needed tools to upload products, manage inventory, and launch banner campaigns.

JavaScript (React Admin Panel)

• I built a separate React SPA admin using Ant Design and consumed the same backend APIs.
• Role-based access was handled with JWT roles and middlewares in Node.

PHP (Laravel Nova / Custom Admin)

• Laravel Nova (paid) or Voyager (free) saved a ton of time for CRUD panels.
• Used Laravel Gates/Policies for fine-grained admin permissions.

---

3. User Profiles, Orders & Wishlist

Each user has a unique profile with saved addresses, orders, wishlists, and wallet.

• JavaScript Stack:
  • Used JWT for persistent sessions.
  • MongoDB’s document model let me nest wishlists inside user documents.
• PHP Stack:
  • Used Laravel’s built-in Auth with hasMany relationships for orders and addresses.
  • Blade templates rendered dashboards; Vue could be optionally integrated for dynamic updates.

---

4. Search & Autocomplete

Search is vital in fashion commerce.

• ElasticSearch was used in JS stack for fuzzy, typo-tolerant results.
• Laravel Scout with MeiliSearch handled it beautifully in PHP projects.

---

5. Banners, Coupons & Promotions

• Created a banners collection/table with scheduling logic (start_date, end_date) and linked product IDs.
• Applied promo logic at checkout, with validations like min cart value or first-time user.

---

6. Seller/Brand Panel (Optional)

Some versions of the app supported multi-vendor logic, allowing brands to upload/manage their own products.

• Role-based access (e.g., Seller vs Admin vs SuperAdmin)
• Route guards in Node or Laravel middleware
• File uploads with Multer (Node) or Laravel Storage

Data Handling: Third-Party APIs vs Manual Listings

When you’re dealing with a dynamic marketplace like Myntra, content inflow is critical. We needed to support both external data ingestion (think: fashion product APIs or brand feeds) and manual content management by admins or sellers.

Here’s how I architected data handling on both ends — whether fetching data from third-party APIs or enabling rich manual input via admin panels.

---

Option 1: Third-Party API Integration

While there’s no universal API for fashion products like Skyscanner for flights, many enterprise clients provided us with JSON feeds, or we scraped and normalized open catalog feeds.

JavaScript Stack (Node.js)

• Used axios to fetch data from APIs and Cron jobs via node-cron or external orchestrators like GitHub Actions for scheduled ingestion.
• Parsed and normalized data into MongoDB. For nested variants, MongoDB was a natural fit.

// Example: Fetching data and saving to MongoDB
const fetchData = async () => {
  const { data } = await axios.get("https://brandapi.com/products");
  const formatted = data.map(item => ({
    title: item.name,
    variants: item.options.map(opt => ({ size: opt.size, color: opt.color, price: opt.price }))
  }));
  await Product.insertMany(formatted);
};

PHP Stack (Laravel)

• Laravel Scheduler (built into Artisan) made it easy to run hourly or daily syncs.
• Used Guzzle for HTTP requests and Laravel Jobs for queued processing.

// Laravel Job
public function handle() {
  $response = Http::get('https://brandapi.com/products');
  foreach ($response->json() as $item) {
    Product::updateOrCreate(['external_id' => $item['id']], [...]);
  }
}

Option 2: Manual Listing via Admin

For marketplaces that don’t use APIs, we enabled powerful admin dashboards to input product data.

• JavaScript (React Admin):
  • Built dynamic forms with controlled inputs using Formik + Yup validation.
  • File uploads were handled via Multer and stored in AWS S3 or local storage.
  • Previews were rendered in real-time.
• PHP (Laravel Nova / Voyager):
  • Used media libraries like Spatie Media Library for uploads.
  • Dropdowns for categories, tags, and brand associations via Eloquent relationships.
  • Image resizing handled on upload.

---

Hybrid Models

Some projects needed bulk CSV uploads. In both stacks, I implemented:

• CSV parsing (using papaparse in JS or maatwebsite/excel in Laravel)
• Row validation + error feedback
• Progress tracking for large files

This was especially useful for onboarding hundreds of SKUs in one go.

API Integration: Designing Clean, Secure, and Scalable Endpoints

Whether you’re building a React frontend or syncing with mobile apps, your API is the backbone. Every action — from listing products to placing an order — flows through it. I built RESTful APIs in both Node.js and Laravel, and here’s how I approached the architecture, endpoints, and security.

---

JavaScript Stack: Node.js + Express

Structuring the API

I used the standard REST pattern with resource-based routes. Each module had its own router file.

Example: Product Routes

// routes/products.js
router.get("/", getAllProducts);       // List all products
router.get("/:id", getProductById);    // Product detail
router.post("/", auth, createProduct); // Admin-only
router.put("/:id", auth, updateProduct);
router.delete("/:id", auth, deleteProduct);

Each route handler was modular, and I separated concerns via controllers and services.

Middleware anduth

• JWT-based authentication using jsonwebtoken
• Middleware for role-based access: Admin vs User vs Seller
• Rate-limiting via express-rate-limit

Example: Auth Middleware

const auth = (req, res, next) => {
  const token = /codereq.headers.authorization?.split(" ")[1];
  if (!token) return res.status(401).send("Unauthorized");
  const user = jwt.verify(token, process.env.JWT_SECRET);
  req.user = user;
  next();
};

PHP Stack: Laravel API Routes

Laravel’s routing is elegant and secure out of the box. I created separate API routes in routes/api.php.

Example: Product Routes

Route::middleware('auth:sanctum')->group(function () {
    Route::post('/products', [ProductController::class, 'store']);
    Route::put('/products/{id}', [ProductController::class, 'update']);
    Route::delete('/products/{id}', [ProductController::class, 'destroy']);
});

Route::get('/products', [ProductController::class, 'index']);
Route::get('/products/{id}', [ProductController::class, 'show']);

Auth & Roles

• Used Laravel Sanctum for token-based auth
• Role-checking inside controllers or with Policies

Example: Policy Check

public function update(User $user, Product $product) {
    return $user->role === 'admin' || $user->id === $product->created_by;
}

Pagination, Sorting & Search

Both stacks supported:

• Pagination via query params (?page=2&limit=20)
• Sorting (?sort=price_asc)
• Search with fuzzy matching using MongoDB regex or SQL LIKE

---

Sample API Payloads

GET /products?brand=Nike&size=M

Response:

[
  {
    "id": "abc123",
    "title": "Nike Air Zoom",
    "price": 6999,
    "variants": [{ "size": "M", "color": "Black", "stock": 3 }],
    "images": ["image1.jpg"]
  }
]

Best Practices Followed

• Versioning (/api/v1/products)
• Centralized error handling
• API docs via Swagger (Node) or Scribe (Laravel)
• CORS headers for cross-origin requests

Frontend + UI Structure: Mobile-First, Fast, and User-Loving

When it comes to fashion eCommerce, your frontend makes or breaks the experience. A slow, clunky UI? That’s a bounce. Confusing filters or unresponsive checkout? That’s an abandoned cart. I architected the frontend for both JavaScript (React) and PHP (Blade or hybrid Vue) stacks to deliver a snappy, intuitive user journey — especially on mobile.

---

JavaScript Stack: React (with optional Next.js)

Layout & Routing

• Structure: Home → Category → Product Detail → Cart → Checkout → Profile
• Routing: Used react-router-dom for basic routing; considered Next.js for SSR SEO pages.
• State Management: Context API for global states (cart, auth), or Redux for more complex needs.
• Styling: TailwindCSS for speed and utility-class-driven development.

Key UI Patterns

• Product Grids: Infinite scroll for category pages using IntersectionObserver.
• Filters Sidebar: Sticky sidebar on desktop; collapsible drawer on mobile.
• Modals: Quick views, login/signup, and size guides handled with React Portals.
• Image Zoom: Hover-zoom on desktop, pinch-zoom on mobile using react-medium-image-zoom.

Responsiveness

I designed all components mobile-first. No CSS breakpoints were assumed — instead, I built reusable layouts with Flex and Grid that collapse gracefully.

<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
  {products.map(product => (
    <ProductCard key={product.id} data={product} />
  ))}
</div>

Speed Hacks

• Code splitting with React Lazy + Suspense
• Image CDN + lazy loading
• Lottie animations for add-to-cart feedback

---

PHP Stack: Laravel Blade (Optionally Vue-enhanced)

For teams preferring server-rendered templates, Laravel Blade worked beautifully.

Blade Layout

• Master layout file for consistent headers/footers
• Section yields for individual pages
• Components for cards, buttons, and filters

@extends('layouts.app')

@section('content')
  <x-product-grid :products="$products" />
@endsection

Interactivity with Alpine.js or Vue

For dynamic UI like cart updates or collapsible filters:

• Alpine.js for quick Alpine-style interactivity
• Vue.js with Laravel Mix for full component logic

Responsive UI

I used TailwindCSS with Blade too — same utility-first approach as React, which sped up dev across stacks.

---

Common UX Elements I Focused On

• Sticky Add to Cart: Visible button at bottom of mobile screens
• Quick Filters: Chip-based UI for color, size, brand
• Breadcrumbs: For navigation depth
• Lightweight transitions: Page transitions using Framer Motion (React) or simple fade classes (Blade)

Authentication & Payments: Seamless, Secure, and Scalable

A Myntra-style app without smooth logins or a failproof checkout? It won’t survive launch week. Authentication and payment integration were two of the most sensitive modules I worked on — and they needed to be airtight, whether I was building in Node.js or Laravel.

Let’s break down how I implemented login/signup flows, session handling, and payment gateways like Stripe and Razorpay in both stacks.

---

Authentication: Securing the Entry Point

JavaScript Stack (Node.js + JWT)

• Login & Signup: Used bcryptjs for hashing passwords and jsonwebtoken for session tokens.
• Session Management: Token stored in HttpOnly cookies or localStorage depending on client.
• Role-Based Access: Middleware checked user roles (user, admin, seller).

// JWT Issuing
const token = jwt.sign({ id: user._id, role: user.role }, process.env.JWT_SECRET, {
  expiresIn: "7d"
});
res.cookie("token", token, { httpOnly: true });

Password Reset Flow

• Email-based reset using nodemailer + unique token in URL.
• Token expiry handled via TTL fields in MongoDB.

---

PHP Stack (Laravel Auth + Sanctum)

• Laravel Breeze scaffolded the frontend logic fast.
• Sanctum handled API token-based auth (ideal for SPAs).
• Password hashing and guard logic were built-in.
• Blade + Laravel validation handled client and server input sanitization.

// Login Controller
if (Auth::attempt($request->only('email', 'password'))) {
    $token = $request->user()->createToken('token-name')->plainTextToken;
    return response()->json(['token' => $token]);
}

Middleware & Guards

• Used auth:sanctum for APIs and auth:web for Blade.
• Role-based redirects and menu controls via @can directives or Policies.

---

Payments: Building a Trusted Checkout

Fashion eCommerce must support wallets, cards, UPI, and even COD. Here’s how I approached payments:

Stripe (Primarily for global clients)

• React Frontend: Used @stripe/react-stripe-js for card fields.
• Node Backend: Created PaymentIntent, handled webhooks for status updates.

const paymentIntent = await stripe.paymentIntents.create({
  amount: totalAmount * 100,
  currency: "inr",
  metadata: { orderId: order._id }
});

Razorpay (Preferred for India)

• Checkout options embedded in the frontend via Razorpay script.
• Signature verification was done in backend (Node or PHP) after payment.

// Laravel Razorpay verification
$generated_signature = hash_hmac('sha256', $order_id . '|' . $payment_id, $secret);
if ($generated_signature === $request->razorpay_signature) {
    // Payment confirmed
}

Wallet & Coupon Support

• Wallets tracked via a field in the users table or document.
• Coupons were validated against promo rules (min cart, expiry, first-order).

---

Checkout UX Tips

• Saved addresses with editable modals
• Order summary updated dynamically with delivery charges and discounts
• One-click payment options via Stripe’s Link or Razorpay’s saved cards

Testing & Deployment: From Local Dev to Live in Production

After months of development, you don’t want to stumble at the finish line. I treated testing and deployment with the same level of discipline as core feature development. In both JavaScript and PHP stacks, I set up continuous deployment pipelines, containerized services, and made sure performance stayed top-notch post-launch.

Let’s break it down.

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JavaScript Stack (Node.js + React)

Testing

• Unit Testing: Used Jest for backend logic and React components.
• Integration Testing: Supertest for Express routes, particularly order and payment APIs.
• E2E Testing: Cypress for real-world flows like signup → browse → checkout.

describe("GET /products", () => {
  it("should return all products", async () => {
    const res = await request(app).get("/products");
    expect(res.statusCode).toBe(200);
    expect(res.body.length).toBeGreaterThan(0);
  });
});pm2 start npm --name "myntra-clone" -- run start

Deployment

• Docker: Built Docker images for Node, MongoDB, and Nginx as reverse proxy.
• PM2: Managed Node processes for resilience and zero-downtime reloads.

pm2 start npm --name "myntra-clone" -- run start

• CI/CD: Used GitHub Actions:
  • Run tests
  • Lint code
  • Build Docker image
  • Push to registry
  • Deploy to VPS via SSH

---

PHP Stack (Laravel + Blade)

Testing

• Unit Tests: Laravel’s PHPUnit-based test suite for models and controllers.
• Feature Tests: Tested end-to-end logic for user registration, orders, payment callbacks.

public function test_user_can_view_products() {
    $response = $this->get('/products');
    $response->assertStatus(200);
}

Deployment

• Apache/Nginx: Classic stack on Ubuntu servers. Used Laravel Forge or custom VPS setup.
• CI/CD Pipeline:
  • GitHub Actions + Envoy for deployment
  • Laravel cache busting (php artisan config:cache, route:cache)
  • Supervisor for queue workers

Docker (Optional)

• Laravel Sail made it easy to run local dev environments via Docker.
• For production, I sometimes used Laravel Octane + RoadRunner for performance gains.

---

Performance & Monitoring Tools

• Caching: Redis used for storing filters, cart states, and homepage content.
• Monitoring:
  • JS stack: PM2 + New Relic
  • Laravel: Telescope for dev, Sentry for production error tracking
• CDN: Cloudflare or BunnyCDN to serve images & assets
• Asset Optimization: Webpack (React) or Laravel Mix for minification, versioning

Pro Tips: What I Learned Building a Myntra-Style App From Scratch

Building a Myntra clone isn’t a weekend side project — it’s a full-fledged platform with the same complexity as any modern eCommerce marketplace. Here are some hard-earned tips I wish I knew on Day 1, whether you’re choosing Node.js or PHP as your stack.

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1. Go Mobile-First, Not Just Mobile-Friendly

Over 80% of our early traffic came from mobile. I prioritized:

• Larger tap targets
• Fixed bottom bars (Add to Cart, Checkout)
• Lazy-loading product images
• Collapsible filters instead of sidebars

Bonus: Using TailwindCSS saved hundreds of hours adapting layouts across breakpoints.

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2. Don’t Over-Normalize or Over-Nest

• In MongoDB, too much nesting (variants -> size -> stock -> image) slowed reads. Normalize just enough to keep things flexible.
• In SQL (Laravel), don’t fall into the trap of breaking data into too many tables — joins on high-traffic routes kill performance.

---

3. Use Caching Everywhere You Can

Fashion data like filters, brands, and homepage banners rarely change — but they get hit thousands of times a day.

• Cached product lists with Redis
• Cached response to GET /products with filters applied
• Queued heavy operations like price syncing or image processing

---

4. Be Ready for Scale from Day 1

• Paginate everything — even admin dashboards.
• Limit DB queries per route (Laravel’s with() and Mongoose’s lean() help).
• Keep logs externalized — use Loggly or CloudWatch for audit trails.

---

5. Third-Party Failures Happen — Gracefully Degrade

When Razorpay or SMTP goes down, users shouldn’t suffer.

• Retry queues for failed webhooks
• Fallback UI states for failed payment verifications
• Admin alerts via Slack or Telegram bots

---

6. Design for Admins, Not Just Users

The admin experience matters — when they can’t easily upload products or run discounts, you’ll lose them.

• Bulk CSV uploads with validation preview
• Banner scheduling (start/end dates)
• Dynamic dashboards with real-time metrics

---

7. Modularize Early

Don’t bake in assumptions — what starts as a single-vendor store might pivot into a marketplace.

• Use feature flags
• Build APIs with future flexibility (e.g., multiple sellers per product)
• Modular permission system (role → actions → routes)

Final Thoughts: When to Build Custom vs Use a Ready-Made Myntra Clone

After building a Myntra-style app from scratch — not once, but twice across two stacks — here’s the honest truth:

If you’re a funded startup with a clear product roadmap, in-house tech resources, and a long-term vision to evolve the platform beyond fashion retail, then custom development is absolutely worth it. You’ll have complete control, scalability, and flexibility.

But if your goals are:

• Fast go-to-market launch
• Proven UX flows out-of-the-box
• Limited developer bandwidth
• Focused on content, inventory, and brand — not code…

Then you’ll save months (and thousands of dollars) by starting with a ready-to-customize clone script.

My Personal Verdict?

Even as a full-stack developer, I now recommend hybrid models to most founders:

• Start with a robust base (like Miracuves’ Myntra Clone)
• Customize only where it creates actual customer or business value
• Reinvent the engine only when you’re ready to scale 10x

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Ready to Launch? Let’s Build Your Myntra Clone Together with Miracuves

If you’re ready to take your fashion eCommerce idea to market, the Miracuves Myntra Clone Script gives you a strong, scalable foundation. Whether you prefer a Laravel monolith or a Node.js microservice setup, this solution is built to get you live quickly and confidently.

Here’s what you’ll get:

• Prebuilt modules covering products, orders, filters, discounts, and more
• Clean, mobile-optimized UI using Blade or React templates
• Fully API-ready backend with Stripe, Razorpay, and wallet integrations
• Role-based access control for admins, sellers, and customers
• White-label branding, multi-vendor support, and guided deployment assistance

This isn’t a template — it’s a launchpad. Built to scale. Easy to customize. Ready when you are.

Let’s build your fashion eCommerce platform together.

FAQs

Myntra Clone Development: Full-Stack Guide to Launching a Fashion App