On-site personalization, powerful and perfectly aligned with your brand identity
Probance’s AI-powered real-time product recommendation solution
In an increasingly competitive e-commerce environment where every visit counts, the ability to quickly present the right products has become a major performance driver.
To address this challenge, Probance introduces ROS – Reco On Site, its new AI-based real-time product recommendation solution.
ROS enables you to personalize the user experience from the very first interactions, helping convert more visitors into buyers.
Increase your conversion rate
ROS directly impacts key e-commerce performance indicators:
- Add-to-cart rate
- Average order value
The solution analyzes browsing behavior in real time to instantly recommend relevant products.
Relevant recommendations at key moments in the customer journey
Probance goes further: a single banner can combine multiple product selection methods to optimize relevance depending on the browsing context.
ROS allows you to quickly deploy several effective use cases:
Previously viewed products
Allow visitors to easily find products they have already viewed and resume their journey.
Trending alternative products on product pages
Display trending products from the same category to offer relevant alternatives when the viewed product does not fully meet the customer’s needs.
Best sellers on the homepage
Highlight popular and high-performing products to immediately guide visitors toward attractive items.

Benefits
- Smoother navigation
- Increased engagement
- Faster access to relevant products
- Better conversion from the first visit
Personalized recommendations from the very first page view : ROS personalizes the experience in real time, even when the visitor is not identified.
This capability is particularly strategic in an environment where a large share of traffic remains anonymous.
→ Goal: convert better and faster, starting from the first session.
Increase cart value
ROS also acts on key conversion and cart moments:
Cross-sell on the cart page
Suggest complementary products aligned with the cart content to increase order value and encourage last-minute impulse purchases.
Navigation-based cross-sell
Recommend complementary products based on the pages visited by the user.

Benefits
- Increased average order value
- Reduced cart abandonment
- Better product catalog utilization
Quick implementation on your website
ROS can be set up in just a few hours and easily adapts to your e-commerce environment.
- Native connectors for PrestaShop, Shopify, and WooCommerce
- A design fully aligned with your CMS visual identity
Also available via API to integrate with any CMS.
3 design integration options:
CMS Design
Integrated into your theme and branding – the preferred solution for a fully consistent experience.
Probance Design
Graphical rendering configured directly in Probance One for fast deployment without technical resources.
Custom Design (API)
Products delivered via API, with display fully controlled by your team or agency.
ROS is designed to adapt to various technical environments and e-commerce team requirements.
100% tailored recommendations
ROS personalization relies on predictive AI continuously fed by:
- Real-time browsing behavior
- CRM data
Your teams can configure:
- Placement across pages (homepage, category, product, cart, etc.)
- Personalization based on visitor profile
- Recommendation rules for each banner
Measure and optimize performance in Probance One
The solution includes full performance tracking:
- Impressions
- Clicks
- Generated revenue
- Analysis by banner, audience, and device

Teams can continuously optimize performance directly from the platform.
ROS: turn every visit into a conversion opportunity
With ROS, Probance delivers a complete solution to:
- Personalize the user experience in real time
- Fully leverage the potential of each visit
- Increase visitor engagement
In an increasingly competitive e-commerce market, ROS helps you maximize every visit.
👉 If you’re interested in this solution, contact your account manager.
