# 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.                                                                                                                                                                                                                                                          |


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.fact-finder.com/infinity/spec-sheet/site-search/predictive-personalization.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
