E-Commerce / Fashion Technology

Wardro8e: AI-Powered Fashion Discovery Mobile Application and Web App Development

Wardro8e AI-Powered Fashion Discovery Platform
45 Days
Mobile Application (React Native) + Full Stack Web Application - AI-Powered Fashion Discovery Platform
Wardro8e: AI-Powered Fashion Discovery Mobile Application and Web App Development

"Pinterest-style fashion discovery platform connecting emerging brands through AI-powered personalized recommendations."

Problem Statement

The fashion e-commerce space is dominated by generic, search-based marketplaces like Myntra and platforms like Pinterest that offer visual inspiration but lack direct shopping integration. Traditional platforms overwhelm users with excessive choice and fail to understand individual style preferences.

Independent fashion brands struggle to be seen, getting lost in algorithm chaos on Instagram and rigid keyword-dependent search of established e-commerce sites

Users face overwhelming choice without intelligent personalization

Existing platforms fail to understand individual style preferences

No unified solution combining curated visual discovery with intelligent personalization and seamless direct purchasing optimized for emerging designers

The absence of a unified platform forces emerging designers to compete ineffectively on generic marketplaces while consumers struggle to discover unique fashion that matches their personal style.

About the Project

Wardro8e reimagines fashion discovery by combining Pinterest's visual discovery model with AI-powered personalization. The platform creates a curated marketplace where emerging fashion brands meet style-conscious consumers through intelligent, visually-driven product recommendations.

How It Works (User Perspective)

Users browse a Pinterest-style masonry layout of fashion products, with AI learning their style preferences from each interaction (saves, likes, views). Users can explore curated collections, follow favorite brands, and seamlessly purchase directly from independent designers. The platform offers optional style quizzes during onboarding to create a \"style DNA\" profile that evolves with each interaction. For brands, a comprehensive verification process includes business registration validation, document uploads (GST, PAN, trade licenses), contact verification via OTP, and digital signatures on partnership agreements.

Tech Stack Used

Backend

  • Python FastAPI
  • CLIP model & sentence-transformers
  • Supabase (PostgreSQL)
  • Express.js
  • Cloudinary CDN

Frontend

  • React Native with Expo SDK
  • Next.js 14 with React 18 & TypeScript
  • NativeWind (Tailwind for React Native)
  • TailwindCSS & shadcn/ui
  • Zustand & React Query
  • React Native Elements

Cloud

  • Vercel
  • Supabase Auth
  • react-native-mmkv
  • Expo Image & React Native Fast Image

Tools

  • React Navigation 6 / Expo Router
  • Supabase Storage
  • Reanimated

Our Solution

ByteHint architected a comprehensive dual-platform solution combining mobile-first user experience with robust web-based brand management tools, powered by AI-driven recommendations.

Phase 1: Mobile Architecture

  • React Native App Foundation: Architected cross-platform mobile application with Expo, implementing platform-specific optimizations for iOS and Android including proper safe area handling, gesture navigation, and haptic feedback
  • Mobile-Optimized UI System: Created comprehensive component library with touch-friendly targets (44pt minimum), gesture-based interactions, and smooth animations using Reanimated
  • Offline-First Architecture: Designed data persistence strategy using react-native-mmkv for fast local storage, enabling core features to function without network connectivity
  • Mobile Authentication Flow: Implemented biometric authentication support (Face ID/Touch ID) alongside traditional OAuth and OTP methods optimized for mobile UX

Phase 2: Web Platform & Backend

  • AI-Powered Recommendation Engine: Implemented CLIP-based visual similarity matching using sentence-transformers, generating image embeddings for fashion products to enable similar items discovery
  • Brand Dashboard: Built comprehensive web-based brand management portal with verification workflows, product upload interfaces, analytics dashboards, and inventory management
  • Brand Verification System: Created multi-step verification with document uploads (Supabase Storage), OTP phone verification, business validation (GSTIN, PAN), and digital signatures
  • Authentication Architecture: Unified Supabase authentication across mobile and web with OAuth providers (Google, Discord), email/password, and OTP verification
  • Database Design: Architected PostgreSQL schema for users, brands, products, user_interactions, style_preferences, and verification workflows with proper indexes and relationships
  • Landing Page & Waitlist: Deployed responsive landing page with email collection for pre-launch audience building

Phase 3: How We Helped

  • Platform Strategy: Guided architectural decisions on mobile-first approach vs web-first, helping prioritize React Native for user experience while leveraging Next.js for brand management complexity
  • Technical Architecture: Provided comprehensive documentation spanning mobile app structure, web dashboard design, backend API patterns, and AI service integration across platforms
  • Mobile Development Guidance: Created detailed React Native implementation guides including navigation patterns, gesture handling, offline-first data sync, and platform-specific optimizations
  • Cross-Platform Authentication: Designed unified authentication strategy that works seamlessly across mobile app and web dashboard with proper session management and token handling
  • Business Strategy: Developed go-to-market planning focusing on mobile app store optimization, user acquisition funnels, and brand partnership strategies

Results and Impact

Top 3 Most Impactful and Quantifiable Results

01

Secured waitlist signups for pre-launch through professional landing page.

02

Built scalable AI recommendation infrastructure capable of processing visual fashion similarity at scale.

03

Implemented comprehensive brand verification system with multi-stage authentication and document validation.

Client Testimonial

"ByteHint has been instrumental in bringing Wardro8e from idea to implementation. Their guidance on technical architecture, combined with practical development strategies, has given me a clear roadmap to build a scalable AI-powered fashion platform while managing this as a passion project alongside my full-time role."
Wardro8e Team

Founder & CEO

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Technologies Used

Python FastAPICLIP model & sentence-transformersSupabase (PostgreSQL)Express.jsCloudinary CDNReact Native with Expo SDKNext.js 14 with React 18 & TypeScriptNativeWind (Tailwind for React Native)TailwindCSS & shadcn/uiZustand & React QueryReact Native ElementsVercelSupabase Authreact-native-mmkvExpo Image & React Native Fast ImageReact Navigation 6 / Expo RouterSupabase StorageReanimated