Qlo provides a more personalized shopping experiences through conversational AI, photorealistic try on, and AR-enabled smart mirrors. I led the design of the smart mirror, came up with the concepts, and created the hi-fi prototypes.
Role
Experience design
Prototyping
Video editing
team
Deeya Parikh
Eldar Gilmanov
Sanjali Jain
timeline
4 Weeks
Client: SpreeAI
tools
Figma
After Effect
Photoshop
Problem
Based on field research and customer interviews, we found out that shoppers have 4 key challenges across both online and in-store experiences:
Overwhelming choices
When the items don’t align with their style or needs
Inconsistent sizing
Sizes vary between different and same brands
Fitting room hold up
Long lines of wait
Lack of personalization
Suggestions not based on personal preference
personal shopping assistant
QLO enhances online and in-store shopping by integrating SpreeAI’s technology to provide personalized outfit recommendations, AI-driven size predictions, virtual try-ons, and contextual guidance.
1. Context aware recommendations
Qlo asks for contextual information to better understand user needs in order to provide more personalized recommendations to shoppers.
2. Photorealistic try-on
Through SpreeAI’s photorealistic try-on, Qlo will predicts how the garment will fit using a heat map which provides a more personalized and confident shopping experience.
Customers value hands-on interaction with clothes. Conversation AI provides a more accessible service without disrupting the natural shopping experience.
1. Onboarding
Clear instructions on the mirror to guide users to place their item on the RFID sensor.
2. Outfit recommendations
Different outfit options based on the scanned items. Shoppers can also see product details for each outfit.
3. SpreeAI log in support
Provide outfit recommendation to every shoppers, but only for SpreeAI users can log in to their account to activate virtual try on.
4. Virtual try on
Utilize SpreeAI's size prediction heat map to better explain the fitting.
