Agentic shopping and customer support, omnichannel
One agent layer that finds the right size and product, and answers service questions.
A leading European lingerie brandProblem statement
What the client was up against
Fit is the biggest reason for returns in lingerie. Shopping and service journeys ran across web, chat and messaging with no shared intelligence.
Our approach
How we approached it
- Started with sizing, the biggest source of returns
- Connected product, stock and order data
- Used one agent layer for shopping and service
Solution we created
What we built
An Aug11 and Octimo layer on the existing commerce stack. A sizing assistant guides shoppers, and the same agents handle order and return questions.
Agents in the system
The multi agent team behind it
SourceseCommerce platform, product catalogue, order system
Sizing agentHelps shoppers find their fit
Discovery agentRecommends products and sets
Service agentAnswers order, delivery and return questions
People decideReview, approve and act
Sizing agentHelps shoppers find their fit
Discovery agentRecommends products and sets
Service agentAnswers order, delivery and return questions
eCommerce platformproduct catalogueorder system
What it was built to change
The outcome it is designed for
Fewer size related returns, higher conversion and lower service cost.
This is a prototype without published results yet. We show the problem and the build, not numbers we have not measured.
Client names, detailed case studies, demos and references can be shared on request.
Looking for a similar solution?
Tell us your version of this problem. We will walk you through what we built and what a first pilot would look like for you.
