AI Personal Stylist
WatoWear
An AI stylist that translates Chloe's fashion expertise and product vision into a working digital platform.
Client
Chloe, stylist
Location
France
Engagement
AI product design and development
Delivery
Production product
[ 01 ]
The challenge
Chloe arrived with a clear fashion vision: an AI stylist should feel personal and useful, not like a generic chatbot that happens to discuss clothing.
The product had to turn taste, context, and styling intent into a digital journey that people could understand and return to.
[ 02 ]
How we handled it
[ 01 ]
Translate expertise into a product model
We worked from Chloe's styling perspective to identify the inputs, decisions, and outputs that make a recommendation genuinely useful.
[ 02 ]
Design the conversation
The experience gathered enough context to personalize advice while keeping the path lighter than a traditional fashion questionnaire.
[ 03 ]
Turn recommendations into an interface
AI output was structured for browsing and decision-making instead of being presented as an unformatted block of generated text.
[ 03 ]
What went right
Chloe's domain expertise gave the product a point of view beyond the underlying AI model.
Early product framing kept the platform focused on styling outcomes rather than novelty.
Design and AI behavior evolved together, preventing the interface from becoming a thin wrapper around a prompt.
[ 04 ]
Outcome
OUTCOME 01
Chloe's original vision became a functioning AI-styling platform.
OUTCOME 02
The product preserved the fashion-led character she cared about while giving it a repeatable digital workflow.
What we delivered
- Product strategy
- Styling journey
- AI recommendation flow
- Working web platform
Behind the scenes
For readers who want the technical detail, these are the specialist building blocks supporting the experience. Clients do not need to select or manage them.