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Cross-Platform Migration and Enhancement of AI-Powered Fashion Recommendation App Using Flutter

somniosoftware.com

Consumer products & services

eCommerce

Information technology

Challenges in Native App Maintenance and Time-to-Market Pressures

The client faced difficulties maintaining separate native Android/iOS codebases while needing rapid delivery of a functional MVP to secure investor funding. Legacy platform limitations hindered UX enhancements and cross-platform consistency.

About the Client

AI-driven fashion technology company offering personalized outfit recommendations and shopping suggestions through a mobile app

Objectives for Flutter Migration and App Enhancement

Migrate existing native apps to Flutter for unified codebase management
Maintain native-level performance while improving UI/UX
Deliver minimum viable product within strict investor-driven deadlines
Implement new design system with engaging animations
Establish scalable architecture for future feature additions

Core System Functionalities and Features

AI-based outfit recommendation system using closet inventory
Mood/occasion-specific styling suggestions
Outfit creation with user-uploaded or stock photos
Integrated shopping recommendations
Flutter-based cross-platform UI framework
Backend integration for user data management
Iterative feature delivery with feedback loops

Technology Stack Requirements

Flutter

Dart

Firebase

RESTful APIs

System Integration Needs

AI recommendation engine API
User authentication system
Cloud storage for closet inventory
Payment gateway for premium features

Performance and Quality Expectations

Sub-200ms animation frame rendering
99.9% uptime SLA
GDPR-compliant data handling
Modular architecture for easy maintenance
Cross-platform performance parity

Expected Business Impact of Flutter Migration

Successful migration enabled 1+ million downloads, reduced maintenance costs by 40%, and accelerated feature deployment cycles. Unified codebase improved investor confidence, while enhanced UX drove 25% higher user retention rates.