The right answer.
Right on time.
Research-backed recommendations that understand the need, show the product, and explain why it fits.
EXPLORE SYSTEM ↘
More than a chatbot. A useful shopping conversation.
Designed for an existing store, grounded in how shoppers actually think and behave.
An AI shopping assistant that understands what the customer is trying to solve, finds the relevant product, shows it directly inside the conversation with its image and key details, and explains why that product fits.
The assistant itself is flexible: customers can resize it and move it around the screen, so they can keep browsing the store while continuing the conversation.
From a question to a choice.
Interact with the walkthrough to explore what the experience does at every step.
Swipe the demo or use the arrows for the next step. Click a step above to jump to it.
WALKTHROUGH
The product is designed to work inside the existing ecommerce experience, not as a separate destination.
EXPLORE THE METHOD ↘How the assistant thinks.
Each interaction follows an intentional sequence—not an arbitrary collection of features.
EXPLORATION / CONVERSATION
Intelligence with an explanation.
The studies and established principles informing how this experience is designed.
DENCE↗
Research translated into practical interfaces.
Jobs to Be Done
Customers choose products to accomplish a particular job.
Means-End Chain Theory
Connects a product attribute → benefit → customer outcome.
Concrete Language
Research supports using specific, concrete information when communicating with customers.
Processing Fluency
Information that is easier to process can influence how people make judgments.
Make every product conversation count.
An AI salesperson inside the store that understands what the customer needs, visually presents the right product, and gives a specific, research-backed reason why it fits.