For museum operators and managers, improving service quality, reducing operating costs, and optimizing management efficiency are long-term core objectives. Traditional guide models rely heavily on human docents, resulting in high costs, limited coverage, and an inability to collect visitor data, leaving management decisions without strong support. Rental guide devices also suffer from heavy wear and tear, cumbersome deposit procedures, and high maintenance costs, all of which can easily affect the visitor experience.
The Haishi Tour AI Audio Guide System directly addresses the pain points of venue operations, achieving a win-win outcome of service upgrades and cost reduction with greater efficiency. On the one hand, the system replaces a large portion of manual interpretation work, eases the burden on docents, reduces labor costs, and provides uninterrupted 24-hour guide services that cover all time periods and all visitor flows. On the other hand, the cloud-based management backend monitors key data in real time, offering clear insights into visitor traffic distribution, rankings of popular exhibits, visit duration statistics, and language demand analysis, helping venues accurately understand visitor needs.
In addition, the system supports remote updates of interpretation content and one-click maintenance, eliminating the need for offline device debugging and significantly reducing operation and maintenance difficulty. Its automatic multilingual adaptation also removes the need to hire additional foreign-language docents, making it easy to serve both domestic and international visitors. Haishi Tour uses digital methods to reshape the operational logic of museums, making management smarter, services more thoughtful, and cultural communication more efficient, while helping museums achieve refined, intelligent, and sustainable long-term operations.