> 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/roadmap/pilot-mahjong-big-data-project-deployment.md). # Pilot Mahjong Big Data Project Deployment This section outlines the phased approach to deploying the pilot project for the Mahjong Big Data initiative, focusing on strategic selection, system implementation, and market evaluation. * **Targeting Mahjong Parlors**\ Initially, several leading mahjong parlors within Japan that are positive about participating in the big data project will be selected. The selection will consider the needs of the target market and the efficiency of deployment to choose the most suitable parlors. * **System Implementation and Training**\ The selected mahjong parlors will implement the system and undergo training on blockchain technology and the use of JN Token. The system will be improved based on the evaluation of usability and feedback. * **Evaluation of Market Response**\ During the pilot project, customer reactions, data, and profitability will be meticulously analyzed. User experience, technical challenges, and marketing strategies will be assessed to prepare for a full-scale deployment. --- # 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/roadmap/pilot-mahjong-big-data-project-deployment.md?ask=&goal= ``` `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.