Promote the right products according to your priorities
Juliia recommends the right products at the right time, based on your business rules. Your margins, your stocks, your goals. Not a generic algorithm, a controlled commercial logic.
The best sellers are not always the most strategic
Sales, web exclusivity, margin... classic engines are content to highlight a few standard categories: the most popular, the best rated, the products on sale...
Juliia goes further : it recommends according to your commercial priorities, by combining user responses with a business knowledge base built with your teams.
Each suggestion is contextualized, relevant, and aligned with what you really want to sell.
Do not recommend more. Recommend better.
Juliia doesn't push a random product
It integrates your business rules into its recommendation logic.
It relies on a knowledge base structured around your priorities (margins, promotions, stocks, etc.), then contextualizes its proposals according to the user's journey and ongoing exchanges.
What your customers get out of it
Juliia helps the user to make the right choice, by offering products that are adapted, explained and consistent - without inundating them with options or leaving them in doubt.
What you gain
Juliia allows you to take back control of the recommendation: you highlight what really matters, according to your rules and business priorities.
When to understand is already to sell better
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
