Boost the right products based on your priorities
Juliia recommends the right products at the right moment - powered by your business rules.Your margins. Your inventory. Your goals.Not a generic algorithm. A fully controlled merchandising logic.
Your best-sellers aren’t always your most strategic products
Sales periods, web exclusives, margins… Traditional engines just push the usual suspects: most popular, top-rated, discounted items.
Juliia goes further : she recommends products based on your commercial priorities - combining the shopper’s answers with a business knowledge base built with your team.
Every suggestion is contextualized, relevant, and fully aligned with what you actually want to sell.
Don’t recommend more. Recommend smarter.
Juliia doesn’t push random products.
She embeds your business rules directly into her recommendation logic.
She relies on a structured knowledge base built around your priorities (margins, promos, inventory, etc.) - then contextualizes every suggestion based on the shopper’s journey and the ongoing conversation.
What your customers get
Juliia helps shoppers make the right choice by surfacing products that actually fit their needs - explained, relevant, and never overwhelming.
What you gain
Juliia gives you full control over product recommendations - so you highlight what truly matters, based on your rules and your business priorities.
Your business priorities at the core of every recommendation
Juliia doesn’t recommend blindly. She applies your commercial rules to turn every suggestion into a perfectly targeted revenue opportunity.
“I was looking for a face cream - Juliia recommended the promo range.”
She identifies the skin type, then suggests a temporary promo line with the right tone.
“I wanted a designer light . She showed me the high-margin selection.”
Based on the shopper’s need and your business goals, Juliia pushes the products that maximize profitability.
“She recommended the most relevant games for my 6-year-old.”
Juliia factors in age and learning style, and highlights a range with a strong conversion rate.
“Juliia suggested the refurbished version - in stock.”
She detects the professional need, the urgency of delivery, and promotes the in-stock refurbished option.
“She proposed the end-of-line model at a killer price.”
Based on the order profile, Juliia highlights a high-margin item currently being liquidated.
“She even offered me a more profitable alternative.”
From a standard product request, she recommends a higher-margin equivalent - good for the shopper and for you.
Real results, right where it matters!
71%
Recommendation rate
90 sec.
Average time to first recommendation
90%
Relevance score
40%
Engagement rate
