Mira
Creating an AI assistant offering personalized fashion recommendations through CUI
- Role
- Lead UI/UX Designer
Motion Designer - Duration
- 4 weeks
- Tools
- Figma
After Effects - Team
- 2 Researchers
1 Designer
Background
Mira, powered by Spree AI, is a conversational assistant that delivers personalized fashion recommendations, simplifying online shopping and enhancing user satisfaction.
Challenge
"Online shopping can be overwhelming and frustrating."
Shoppers often struggle to find clothing that matches their style, size, and preferences, leading to frustration and low customer retention for fashion retailers.
Impact
Projected a 40% boost in conversion rates and a 30% reduction in product return rates by streamlining the shopping experience and helping users select better-fitting, more appropriate items through AI-driven assistance.
Finding Problems
“Where did the current online shopping experience fall short?”
Through qualitative and desk research, we uncovered key pain points in the online shopping experience and identified their broader implications.
User interview with our target user
Desk research
Key Insights
We mapped out the complete shopper's journey by synthesizing user research, discussions with the SpreeAI team, and desk research findings. This reveals critical moments of friction and opportunity.
User journey
Synthesizing insights from the interviews, we identified three key problems that contribute to users’ frustrations during their shopping journey:
1. Before shopping:
Decision Paralysis
Users feel overwhelmed by the vast number of options, making it difficult to narrow down choices and confidently make purchasing decisions.
2. During shopping:
Tracking Difficulties
Shoppers struggle to locate items they’ve seen on social media, leading to frustration and interruptions in their shopping journey.
3. After shopping:
Outfit Overload
Users often own too many clothes but struggle to decide what to wear, resulting in wasted time and underutilized wardrobe pieces.
“Why are these problems worth solving?”
Addressing these challenges not only improves user satisfaction but also drives business success by reducing return rates and increasing customer loyalty.
Design Goal
“A product that delivers personalized fashion recommendations, actively supports users in finding the perfect outfit, streamlining the online shopping journey.”
1. Before shopping:
Guided shopping experience
Streamlines decision-making
2. During shopping:
Instant item search
Finds products in seconds
3. After shopping:
Personalized outfit suggestions
Tailored to user preferences
Why CUI?
Conversation UI (CUI) enhances accessibility by mimicking in-store assistance, delivers personalized fashion recommendations through dynamic conversations, and fosters engagement with its friendly, intuitive interface.
Key Features
Mira: A Conversational AI agent
Meet Mira, a personalized shopping assistant with conversational UI (CUI) and AI-driven recommendations:
Approachable CUI Character
Designed with color, form, and motion to create a friendly, trustworthy assistant.
Design system
Motion states
1. Before shopping:
Personalized Onboarding Process
Personalization with AI agent personality selection.
Style and brand preferences gathered through simple quizzes.
2. During shopping:
Smart Photo Recognition & Preorder
Autonomy of the interface
3D Virtual Try-On
Interactive 3D model technology for virtual try-ons.
Material & Fit Analysis
Garment material check with haptic feedback and size prediction.
3. After shopping:
Virtual Closet for Outfit Management
Tailored Outfit Recommendations
Easily explore and shuffle through recommended outfits.
Takeaways
This project reinforced that successful AI products must strike a delicate balance between technological innovation and human connection. As we evolve, our focus remains on deepening personalization while preserving the authenticity of human interaction.