Recommendation systems
Connect catalog and interaction data to recommend relevant products, content, or next steps. Configure relevance around user intent and account for visitors with little or no history. Evaluate recommendation quality, diversity, and user control against meaningful outcomes across the discovery experience.
Capability features
- Personalized product and content discovery
- Context-aware ranking and next-step suggestions
- Cold-start strategies and recommendation evaluation
Build discovery experiences that help people find a good fit and give you a clearer understanding of what works.
Configure your workflow
Configure relevance
Define the audience, the available choices, and what a useful discovery looks like for the people using the workflow.
Connect the signals
Connect catalog and interaction data, check its quality, and establish a baseline before adding more complex ranking capabilities.
Evaluate the experience
Test recommendation quality alongside diversity, user control, and the wider customer journey.
One governed product environment
Connect the relevant sources and systems, configure this capability within your workflow, and define evaluation criteria and human review points before deployment. Keep permissions, quality checks, and ongoing feedback visible as the workflow evolves.
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