RECOMMENDER Click-worthy recommendations
With a recommender’s AI and enriched data, predict what they’ll need next – and stay one step ahead.
Request a demoFrom your homepage and product pages, to your search box and shopping cart, use a state-of-the-art recommendation engine to instantly personalize content and product suggestions.
Recommend along the journey
- Context-aware recommendations
Show what’s most relevant to a person based on where they are in their journey – from pre-purchase to post-purchase, or simply learning and engaging with content. - Ready-to-go machine learning models
Choose the algorithm that fits your scenario with an array of content and product recommendation models – including event-focused, user-based recommendations, frequently viewed together, popular items, and more. - Journey and data stitching
Connect current context, user history, and even the products themselves to recommend content users need, whether they’re first time or return visitors.
Define, set, optimize
- Content types you choose
Define which content types to pull from to tailor the experience, or create recommendation streams across content types and let the recommender carve a path for each user. - Data set selection
Choose which data sets should train a recommendation model. Focus on a certain region or use inputs from a specific interface – it’s up to you. - Model drift correction
Draw insights from and respond to your changing product catalog, content, or user behavior. You’ll know when it’s time to retrain your models. - Recommendation experiments
Want to verify which strategy works best? Preview or A/B test different configurations, then optimize and refine.
Start simply, grow strong
- Recommendations from day one
Provide recommendations even when data about an item or individual is sparse by leveraging product taxonomies and popularity. - Rich user profiles
Drive ever-more-relevant recommendations with dynamically built user profiles enriched by user actions and affinities. - Scale and precision
Get the recommender system that helps people zero in on the right product from a complex catalog containing millions of SKUs, or find the right resource in a content library that spans multiple sources.
Predictive recommendations means that before the customer has even asked a question, we’ve anticipated potential answers for them, to get them more quickly to their solution.
Designed for omni-channel journeys
Add meaningful recommendations to any digital experience without changing your tech stack. With prepackaged components or APIs, embed Coveo’s product and content recommendations directly into the apps you already use.