Discover the Predictive Product recommandation
2026
NEW
Predictive Product Recommendation uses AI to identify, for each customer, the products that truly match their affinities. Instead of generic rules, you start from your customers to find the right products, and activate them across all your campaigns.
It helps you turn product data into revenue through three key capabilities:
Right Product, Every Customer: From your entire catalog or a selected product scope, the algorithm predicts each customer's real affinity and recommends the products most likely to convert.
Set Up in a Few Clicks: Target by product, brand, category or any level of your catalog. Ineligible items are automatically excluded, fallback products can be defined, and performance indicators are built in.
One Campaign, Many Offers:A single campaign shows different products to each customer, without multiplying segments.
Use cases:
Trigger the second purchase:Recommend the most engaging product to encourage new customers to reorder.
Cross-sell: Promote new categories based on individual affinities.
Make the most of loyalty points: Showcase the most desirable and attainable rewards before points expire.
Serve business priorities:Personalize the selection within a high-margin or overstocked range.
Why it's a game-changer:
Full control over the strategy:Filter recommendations according to your business rules (stock level, etc.), while the AI automatically selects the relevant products.
Multi-channel activation: Feed your outbound campaigns (emails, newsletters, SMS, push notifications, print) and real-time inbound touchpoints (web and e-commerce carousels, in-app, customer area).
Higher conversion and ROI:More relevant recommendations that increase engagement, basket value and the performance of all your campaigns.