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#酒店AI

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Sep 28Mon
  1. TravelDaily China

    Meituan Launches Jibai Hotel AI Full Solution

    At the 2026 TravelDaily Accommodation Summit, Meituan Travel technology head Gao Shang said hotel AI must be rooted in real operating scenarios and deliver business results. Meituan launched the Jibai hotel AI full solution, covering business diagnosis, market research, district analysis, pricing reference, budget management and performance review. Meituan data shows merchants deeply using Jibai saw RevPAR rise 11% on average. Jibai ranges from a light version to a flagship version for upscale and chain hotels, which can connect to internal operating systems with merchant authorization.

Sep 27Sun
  1. Pinchain Tourism

    Meituan Upgrades Jibai to Flagship Edition: AI Connects to PMS to Assist Hotel Revenue Management

    On September 23, Meituan announced that its hotel AI product "Jibai" has been upgraded to a flagship edition. The previously free Lite edition mainly helps hotels handle daily data queries, reviews and operational issues; the flagship edition targets high-star and chain hotels, connecting to PMS systems with merchant authorization to help revenue staff make judgments based on hotel conditions and market status. Meituan data shows Jibai AI covers 140,000 merchants with over 300,000 weekly consultations; deep users saw weekly exposure rise over 50% and RevPAR up an average of 11%. The flagship edition has been deployed with an initial 12 high-star and chain hotels, achieving 98% diagnostic re…

Sep 23Wed
  1. TravelDaily China

    Meituan Jibai Launches Flagship Edition, Hotel AI Moves Toward Business Advisor

    On September 23, Meituan announced an upgrade to its hotel AI product Jibai at the 2026 TravelDaily Summit in Shanghai, officially launching a flagship edition that provides full-chain AI support for market insight, business diagnosis and performance review for upscale and chain hotels. With merchant authorization, the flagship edition can connect with hotel PMS and other local operating systems to consolidate data scattered across channels. Meituan said merchants deeply using Jibai saw RevPAR rise an average of 11%, diagnostic recommendation accuracy reached 98%, and full-chain management efficiency improved 20%.