> For the complete documentation index, see [llms.txt](https://docs.fact-finder.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fact-finder.com/infinity/spec-sheet/site-search/predictive-personalization.md).

# Predictive personalization

## Predictive personalisation

| Feature                                                   | Description                                                                                                                                                                                                                                                                                                                                                                                    |
| --------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Ranking products based on unique customer preferences** | The engine will sort search results in real-time based on a visitor's unique personal preferences (e.g. brand, gender, size, or other attribute in the product feed), using browser cookie or user ID.                                                                                                                                                                                         |
| **Ranking products based on in-session purchase intent**  | The engine will sort search results in real-time based on a visitor's unique in-session purchase intent, using browser cookies or user ID. Intent is inferred from the area/context of the catalogue in which the visitor is interacting during a single session. The contextual mapping of products is done during the algorithm training and is a core component of Loop54's proprietary AI. |
| **Cross-device personalisation**                          | Personalised experience can be reflected across all the devices a user might use if the user is identified via login ID or user name.                                                                                                                                                                                                                                                          |


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