> For the complete documentation index, see [llms.txt](https://docs.rmhpos.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rmhpos.com/loyalty-manager/loyalty-concepts.md).

# Loyalty concepts

- [Loyalty programs](https://docs.rmhpos.com/loyalty-manager/loyalty-concepts/loyalty-programs.md): This topic explains how loyalty programs are created by defining points collection and points redemption schedules, and enabling or disabling customer opt in.
- [Collection schedules](https://docs.rmhpos.com/loyalty-manager/loyalty-concepts/collection-schedules.md): This topic explains the role of point collection schedules.
- [Redemption schedules](https://docs.rmhpos.com/loyalty-manager/loyalty-concepts/redemption-schedules.md): This topic explains the role of points redemption schedules.
- [Point accelerators](https://docs.rmhpos.com/loyalty-manager/loyalty-concepts/point-accelerators.md): This topic explains the role of point accelerators.
- [Incentive groups](https://docs.rmhpos.com/loyalty-manager/loyalty-concepts/incentive-groups.md): This topic explains the role of incentive groups.
- [Customer groups](https://docs.rmhpos.com/loyalty-manager/loyalty-concepts/customer-groups.md): This topic explains the role of customer groups.
- [Loyalty batch](https://docs.rmhpos.com/loyalty-manager/loyalty-concepts/loyalty-batch.md): This topic explains the role of the loyalty batch.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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.rmhpos.com/loyalty-manager/loyalty-concepts.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.