Understand the intentions of your visitors
Juliia is an intelligent conversational engine that boosts your e-commerce conversion by understanding each purchase intention and guiding the user to the right product.
Your customers don't talk in facets
With the rise of AI, habits are changing: Internet users ask questions, describe their needs, and expect precise answers. Even for their e-commerce experience.
Facets are no longer enough: they are often too general, not rigid and lack context.
Juliia is a game changer. She understands the intent to buy, interprets requests, and knows how to jump-start the conversation to guide the user to the right product.
Capture the real need behind every search
Juliia relies on natural language
To decipher poorly formulated, incomplete, or unclear research, she:
and allows you to respond in a more relevant way from the first exchange.
What your customers get out of it
Juliia allows the user to express themselves as they speak and to find what they are looking for effortlessly.
What you gain
Smarter research means less friction for your customers... and more levers to advance your conversion and refine your product strategy.
When to understand is to sell more
Here are 6 concrete examples where Juliia makes it possible to transform a fuzzy search into a conversion opportunity, whether you sell to individuals or professionals.
“A warm but not too thick jacket”
Juliia detects the thermal need, the season, and asks a question about the use to target the right material and the right cut.
“A shampoo that doesn't grease my hair”
Juliia identifies the type of hair problem and suggests suitable filters: frequent use, oily roots, etc.
“A gift for a sporty teenager”
Juliia detects the thermal need, the season, and asks a question about the use to target the right material and the right cut.
“An ergonomic chair for physiotherapists in the office”
Juliia detects professional activity, comfort and space constraints, then guides you to the right models.
“An adhesive that is resistant to humidity and cold”
It captures environmental constraints, proposes sorting by technical use, and verifies compatibility.
“A quiet coffee machine for a hotel”
Juliia identifies the sound need, the environment of use, and filters according to noise level and capacity.
Concrete results, where it counts!
71%
Recommendation rate
90 sec.
Average recommendation time
90%
Relevance rate
40%
Engagement rate
