ai that decodes real shopping needs

Juliia captures nuance, context, constraints, and goals
even when shoppers aren’t sure how to describe them !

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Your customers don’t speak in filters

With AI everywhere, user habits have shifted.
People ask questions, describe their needs, and expect precise answers - especially in e-commerce.
Search & filters just don’t cut it anymore: too generic, too rigid, not enough context.
Juliia flips the script.
She understands purchase intent, asks real-life questions, and keeps the conversation going to guide each shopper to the right product.

Capture the real need behind every search

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Juliia speaks your customers language

So whether from a vague or incomplete question, or a very specific one she can:

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Decode the shopper’s true intent
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Rephrase when needed
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Steer the conversation to refine the request
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Understand nuance
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Factor in context to adapt her interactions

She delivers relevant interactions - right from the start.

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Intuitive interactions

Juliia adapts to each shopper naturally - and finds what they want without any friction.

A smooth product discovery experience
Relevant answer suggestions
Full conversation history, even when you reconnect
The feeling of real guidance,  with human like interactions
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Stronger engagement

Smarter search means fewer friction points for your customers… and more levers to connect with your market and sharpen your  strategy.

Fewer zero-result queries
Fewer drop-offs on the search page
More clicks to product pages
A deeper understanding of demand  for actionnable insights

When engaging based on real needs leads to higher sales

Here are 6 real examples of how Juliia turns vague searches into conversion opportunities - whether you’re selling to consumers or professionals.

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“A warm jacket that’s not too bulky”

Juliia detects the thermal need, the season, and asks about the intended use to narrow down the right material and fit.

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“A shampoo that doesn’t make my hair greasy”

Juliia identifies the hair concern and suggests the right filters: frequent use, oily roots, specific scalp needs, etc.

“A gift for a sporty teenager”

Juliia picks up the profile, the context, and the activity level - then refines the options to recommend the right category of products.

“An ergonomic chair for a physical therapist’s office”

Juliia detects the professional activity, comfort constraints, and space limitations, then guides the user to the most suitable models.

“A humidity- and cold-resistant adhesive”

She understands the environmental constraints, suggests a technical-use filter, and checks product compatibility.

“A quiet coffee machine for a hotel”

Juliia identifies the noise requirement, the usage environment, and filters options by sound level and capacity.

Real results, right where it matters!

40%

Engagement Rate

70%

Recommendation rate

5 to 8%

Sales uplift

25%

average AOV uplift