China's leading hotel big data marketing platform

Xielv is an operator based on big data analysis of hotel scenarios, providing direct sales and membership services, hotel value-added revenue management systems, and new retail service systems for large tourism accommodation companies. From 0 to 1, MRT plans and develops the two pillar systems of Brigade, which helps Brigade win the third prize in the Guangdong Division of the 8th China Innovation and Entrepreneurship Competition, and has accumulated hundreds of millions of investment, becoming China's leading hotel big data marketing platform .

#Internet of Things #SaaS System #Big Data Application
Powered by MRT
Big data analysis solution for hotel scenarios

From 0 to 1, MRT plans and develops the two pillar systems of Brigade, which helps Brigade win the third prize of the 8th China Innovation and Entrepreneurship Competition in Guangdong Division

internet of things
Intelligent link between the system and on-demand equipment
  • Intelligent on-demand system
  • Diversified video on demand
  • data synchronous acquisition
  • Interactive on-demand applet
On-demand big data application
Investment income management platform derived from big data
  • big data analysis
  • Product Yield Management
SaaS platform
Interactive on-demand and multi-role revenue distribution management system
  • Interactive on-demand SaaS platform
  • User revenue management
internet of things:internet of things
  • Intelligent on-demand system

    The on-demand system of Xilv connects the hotel's video playback equipment and WeChat applets to realize the closed loop of smart payment on-demand. According to different on-demand devices, the system flexibly supports a variety of playback rights management mechanisms to build a diverse ecosystem of on-demand systems.

  • Diversified video on demand

    According to the different on-demand charging agreements of Xielv, MRT has designed a variety of on-demand billing forms, and connected with domestic leading video on-demand service providers such as iQiyi, CIBN, and Fengtingxun to complete the video-on-demand link.

  • data synchronous acquisition

    Due to the large number of on-demand devices for portable travel, the network conditions vary. MRT has formulated an operation mode of collecting data at fixed points on time, which solves the congestion of information channels, ensures the safety of on-demand data transmission, and escorts big data analysis.

  • Interactive on-demand applet

    Residents can realize functions such as payment, membership verification, and authentication playback through the WeChat applet. MRT has created a number of WeChat mini-programs and corresponding on-demand billing models for different styles of cooperative hotel brands for Xielv.

SaaS platform:Interactive on-demand and multi-role revenue distribution management system
  • Interactive on-demand SaaS platform

    MRT has developed a complete hotel brand SaaS platform for Xielv. Hotel brands can establish exclusive interactive video-on-demand operations and multi-role sales sharing models in the system to realize a one-stop solution for guest room video-on-demand.

  • User revenue management

    In order to solve the financial management affairs of investors' income and strengthen investors' confidence, MRT has designed a management module including account reconciliation, cash withdrawal management, and income analysis based on the cashier system of Xielv.

tour.tour12 :Investment income management platform derived from big data
  • big data analysis

    The investment income management platform designed by MRT connects with the on-demand system, intelligently collects and plays data, and conducts analysis based on multi-dimensional on-demand such as movies, regions, time-sharing, and income, laying the foundation for sustainable big data analysis and leading the development direction of the project.

  • Product Yield Management

    Xielv uses a flexible business operation model and uses MRT to build a product revenue management system to automatically distribute the revenue of on-demand equipment. According to the data of different income items, the system can intelligently distribute the corresponding product income to relevant investors.