Project Overview
This concept reimagines the future of fashion retail through a personalized and intelligent shopping experience. Powered by the AURA AI engine, the app dynamically tailors its interface, product recommendations, and user journey based on individual style preferences, behavior, and current trends.
Design Intent & User Focus
The core objective behind this concept was to create a seamless, intuitive, and emotionally resonant user journey.
Key goals included:
- Designing a clean and frictionless onboarding flow to quickly understand users’ style preferences.
- Delivering intelligent product suggestions that feel personally curated.
- Balancing visual appeal with usability, ensuring that each interaction feels both beautiful and functional.
- Exploring multiple visual directions to see which tone best fits a modern fashion-forward audience.
Design Process: From Wireframes to High Fidelity
All screens were created using Figma. I started with low-fidelity wireframes to map out the core user flows: onboarding, browsing, product discovery, and cart interactions.
From there, I moved into high-fidelity mockups, applying different color palettes and typography to experiment with tone and emotional resonance. The variations were intentional—to test how different design decisions affect mood, usability, and brand alignment.
Each screen is a prototype of how the app might feel with slight shifts in visual direction. This exploration helped identify what’s most effective in communicating ease, luxury, and confidence.
AI Personalisation with AURA
The heart of the app is its ability to adapt. The AURA AI engine brings true personalisation to life with:
Smart Recommendations: Real-time updates based on what users browse, save, or engage with.
Visual Style Matching: Users can upload photos of looks they love; the AI suggests similar outfits or pieces.
Trend Awareness: The system keeps up with seasonal and cultural trends, offering style edits based on what’s current in the fashion world.
Predictive Shopping Journeys: Over time, the app learns and anticipates needs—whether it’s a wardrobe refresh, an event outfit, or even gifting suggestions.