Project Overview
The AR Fashion Shopping App redefines the online shopping experience by integrating augmented reality (AR) and artificial intelligence (AI) for realistic virtual try-ons, personalized recommendations, and immersive shopping environments. The app allows users to visualize clothing on a digital twin of their own body in real-time, bridging the gap between physical and digital retail.
AR Fashion App
Key Features & UX/UI Design Decisions
Users can see clothes on a 3D digital twin that mirrors their real body.
UX/UI Decision:
Implemented realistic cloth simulation and adaptive avatar scaling for an accurate fit representation.Interactive, themed virtual showrooms.
UX/UI Decision:
Procedural scene generation for dynamic store layouts based on user preferences.Smart AI-powered inventory management suggests clothing based on personal style and fit preferences.
UX/UI Decision:
Integrated machine learning algorithms to analyze shopping behaviors and refine recommendations.Synchronization across mobile apps and AR headsets.
UX/UI Decision:
Designed a responsive interface with gesture-based and voice-controlled navigation.Secure AI personalization while ensuring user privacy.
UX/UI Decision:
Implemented blockchain-based consent management for transparent data collection.
User Research & Findings
Questionnaire Highlights
76% reported frustration with online shopping due to inaccurate sizing.
82% would prefer a try-on feature before purchasing clothes.
65% are concerned about data privacy in AR applications.
90% found virtual shopping experiences more engaging when interactive elements were present.
Key Insights from Usability Testing
Users favored gesture-based controls over traditional UI buttons in AR.
Dynamic lighting adjustments improved realism in virtual try-ons.
The ability to toggle between digital twin and flat lay product view was highly appreciated.
A.Ranjbar
