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This study aims to analyze the review of the goods data management system in the storekeeper section at Harris Hotel & Convention Ciumbuleuit Bandung. This study uses a descriptive quantitative method with the aim of describing the goods data management system in the storekeeper. Primary data was obtained through the distribution of a questionnaire with a Likert scale to 30 respondents. The results of the study show that the goods data management system at Harris Hotel & Convention Ciumbuleit Bandung, it can be concluded that the implementation of the goods data management system, this system has been implemented well, as evidenced by the average value of 4,345 which shows that the system is running well in facilitating various processes, such as stock monitoring, goods data management, and procurement of goods. The use of this system simplifies the process of managing goods efficiently, reduces recording errors, and speeds up the procurement process. The obstacles faced are that even though this system has run well, there are several obstacles in its implementation, such as data input errors, limited human resources, limited technological infrastructure, difficulties in adapting to system changes, and data security problems. In an effort to overcome the obstacles faced, strategic steps are needed such as providing regular training to system users in order to minimize data input errors, increase and improve the competence of the human resources involved, and strengthen the technology infrastructure with more adequate devices and networks.

The use of artificial intelligence (AI) in banking has grown rapidly in recent years, providing opportunities and challenges in dealing with it. AI in the banking world is expected to facilitate use, strengthen customer data security, and optimize risk management. This article aims to analyze the level of customer user experience towards banking services by utilizing artificial intelligence (AI). The analysis technique used in this study is descriptive with a quantitative approach, involving 100 respondents of various ages, various jobs and various educational backgrounds. The main requirement for respondents is that they are customers of various conventional banks in Ponorogo Regency who have used artificial intelligence (AI)-based banking services. Data were collected through questionnaires supplemented with secondary data in the form of documents related to the implementation of artificial intelligence in the banking service system. The application of AI in the banking sector is the detection and prevention of fraudulent transactions in real time, identity verification through biometrics, identity verification through biometrics, chatbots and virtual assistants for customer service, detecting suspicious activity, and the use of smart wallets. The findings in this study explain that artificial intelligence (AI) is able to increase the efficiency of services to customers, provide a better experience, and improve the quality of banking services. Customers are greatly helped by the use of artificial intelligence (AI)