CLIENT
Superbalist
CASE STUDY // FASHION RETAIL
A conversational AI layer for personalised product discovery
Superbalist partnered with Cerebral Circuit to explore how conversational AI could extend an already strong ecommerce experience - adding a more interactive, personalised way for customers to discover products.
CLIENT
Superbalist
SECTOR
Fashion retail
CHANNEL
LAYER
Product discovery
Stella by Superbalist
I need black straight-leg jeans I can wear at work and casually
Sure. To get the best recommendations, could you let me know:
1. Your size
2. Preferred fabric?
Size 32 no denim please
I've found versatile options for both office and casual occasions.
Personalised product options below.
Ben Sherman - straight fit classic black trouser
straight fit classic denim - black
Sure. To get the best recommendations, could you let me know:
1. Your size
2. Preferred fabric?
Size 32 no denim please
THE OPPORTUNITY
Introduce a guided discovery layer
for moments where customers are
exploring rather than searching,
preferences are nuanced, and
inspiration matters as much as
intent.
THE SOLUTION
Stella lets users describe what they
want in their own words and receive
tailored product suggestions in
return.
HOW THE EXPERIENCE WORKS
Customer
describes need in
natural language.
Stella asks for
useful
preferences such
as size or
material.
The request is
narrowed against
catalogue
context.
Products are
returned with
clear next steps.
HOW IT WAS DELIVERED
Staged rollout
Live interaction testing
Behaviour-led refinement
RESULTS & IMPACT
daily
engagement
indicators
interactions
across sessions
discovery across a
large catalogue
into intent
and
preference
complements
existing
journeys
Closing thought:
The most effective ecommerce experiences will not replace what works - they will build on it.
cerebralcircuit.ai
CASE STUDY // FASHION RETAIL