Abstract
Along with the development of information technology and the change of emerging technologies, AI is driving a new wave in the field of platform design with new trendy technical concepts and industry applications, and the theme of profitability of hotels in the process of operation is transformed from single mode to multiple modes. With the rapid development of China's economic system reform, people's income is increasing, the concept of consumption is also improving, and the requirements for service quality are more stringent. Many regions have tourism as the local pillar industry. Hotels as people rest and entertainment places and has been rapidly developed. How to provide more accurate and timely service has become the key to hotel competition. Therefore, hotel information construction has become a standard for hotel customer service providers and become the basis of information system. This paper designs and develops a unified management platform for digital hotels under AI, in which the platform contains the common tasks in the daily operation and management of hotels, and the platform has novel and convenient features. Experiments show that the unified platform has significantly reduced training and customer service costs compared with the traditional platform, saving software development costs, while the security and stability of the system can be guaranteed. The operation modules are relatively independent and correspond to the actual business needs, and the business logic is clear, which makes the whole solution configuration flexible and convenient for users to choose.
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References
Zheng, L., Wang, H., Mei, L., et al.: AI in digital cariology: a new tool for the diagnosis of deep caries and pulpitis using convolutional neural networks. Ann. Transl. Med. 9(9), 763 (2021)
Sabri, M.S.: Role of AI in digital marketing. SSRN Electron. J. 10(5), 1–6 (2021)
Lutz, C.: Digital inequalities in the age of AI and big data. Human Behav. Emerg. Technol. 1(2), 141–148 (2019)
Lai, Z., Yu, L.: Research on digital marketing communication talent cultivation in the era of AI. J. Phys. Conf. Ser. 1757(1), 012040 (2021)
Gorodetsky, V.I., Laryukhin, V.B., Skobelev, P.O.: Conceptual model of a digital platform for cyber-physical management of a modern enterprises. Part 2. Digital services. Mekhatronika Avtomatizatsiya Upravlenie 20(7), 387–397 (2019)
Schneider, I.: democratic governance of digital platforms and AI: exploring governance models of China, the US, the EU and Mexico. JeDEM – eJ. eDemo. Open Gov. 12(1), 1–24 (2020)
Huo, D., Chen, Y., Hung, K., et al.: Quality management of E-business: a key node analysis of ecological network in digital economy by using AI. Romanian J. Econ. Forecast. 22(2), 166–179 (2019)
Bunti, L., Dami, M., Duevi, I.: AI in business models as a tool for managing digital risks in international markets. SHS Web Conf. 92(2), 03005 (2021)
Ma, X., Cheng, J., Qi, Q., et al.: AI enhanced interaction in digital twin shop-floor. Procedia CIRP 100(1), 858–863 (2021)
Leontev, M., Magera, T.: Unified digital platform for the transport industry and human factor. IOP Conf. Ser. Mater. Sci. Eng. 918(1), 012070 (2020)
Sirait, A., Murdianingrum, S.L.: Management decision in joining hotel network on digital marketing-based for financial and non-financial impacts (study: 4 and 5-star hotels in yogyakarta special region). Open J. Bus. Manag. 08(2), 754–762 (2020)
Duan, L., Ma, S., Li, Y., et al.: Unified management method for multi-dimensional basic power resources. Procedia Comput. Sci. 183(15), 827–832 (2021)
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Li, Y. (2022). Digital Hotel Unified Management Platform Under Artificial Intelligence. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 98 . Springer, Cham. https://doi.org/10.1007/978-3-030-89511-2_68
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DOI: https://doi.org/10.1007/978-3-030-89511-2_68
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