REVIEW OF METHODS AND TOOLS FOR DEVELOPING AN INFORMATION SERVICE FOR PERSONAL ASSET MANAGEMENT
DOI:
https://doi.org/10.32689/maup.it.2023.3.6Keywords:
information service; assistant application; demand forecasting; inventory management; decision support systems; functional service modelAbstract
The development of a functional model of an information service and the creation of an assistant application designed to meet the personal needs of users in managing their personal stocks is a scientifically relevant task that reflects modern trends in the field of information technology and management. This issue allows for research aimed at improving methods of developing inventory management algorithms, forecasting needs, and selecting optimal strategies for managing users' personal stocks. In this context, special attention is paid to the analysis and development of various inventory management algorithms for personal use. Managing personal stocks is an important component to ensure the efficiency of owning and utilizing personal resources, including goods and household resources. In this context, techniques based on mathematical models, statistical methods, and optimization algorithms are investigated to increase the rational use and optimization of personal stocks. Additionally, the scientific community actively studies methods for forecasting personal needs and resources. This is an important component of managing personal stocks, as accurate forecasting helps avoid excessive or insufficient stocks of goods for personal use. Various analytical methods, including time series analysis, machine learning methods, and statistical models, are used in this regard. A separate part of the research focuses on selecting optimal strategies for managing personal stocks. This involves determining optimal approaches and methods for inventory management at the personal level, taking into account individual user characteristics. An integral part of the research is the selection of tools and environments for developing an assistant application aimed at supporting users in managing their personal stocks. This includes evaluating the quality, scalability, and convenience of tools to create a convenient and efficient information service for users. In conclusion, this scientific approach aims to create an innovative assistant application aimed at satisfying the needs of users in managing personal stocks. The results of research and development of such an application can significantly simplify the processes of managing personal stocks and enhance the efficiency of managing personal resources.
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