> For the complete documentation index, see [llms.txt](https://wp.jannavi.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wp.jannavi.net/expansion-of-the-jan-navi-ecosystem/network-integration-and-data-coordination-of-mahjong-parlors.md).

# Network Integration and Data Coordination of Mahjong Parlors

JAN-Navi is expanding its ecosystem through network integration and data coordination with mahjong parlors. This includes establishing virtual stores, leveraging advanced data analysis technologies, and centralizing match histories for optimal player matching.

* **Physical Store Expansion**\
  JAN-Navi collaborates with prominent mahjong parlors in various locations, establishing online branches for each. These parlors open their virtual stores on the JAN-Navi platform, enabling matches in a digital space that extends their physical presence.
* **Technology Integration**\
  In this new online environment, the latest data analysis technologies are implemented. Advanced features such as AI scoring, replay analysis, and sharing of statistical data are also available.
* **Realization of Data Coordination**\
  Match data from both online and offline environments are interconnected, centralizing players’ match histories. This facilitates player matching across parlors, making it easier to find top competitors both domestically and internationally. It also enables the collection and utilization of extensive personal and gameplay data.


---

# 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, and the optional `goal` query parameter:

```
GET https://wp.jannavi.net/expansion-of-the-jan-navi-ecosystem/network-integration-and-data-coordination-of-mahjong-parlors.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.