СИСТЕМА ПРОГНОЗУВАННЯ ПРОДАЖІВ В ЕЛЕКТРОННІЙ КОМЕРЦІЇ

Abstract

The master's thesis is devoted to the study of the subject area (electronic commerce, its optimization based on forecasting sales of goods (goods and services)), the development of an approach to forecasting sales of goods based on the use of scientifically sound forecasting methods, which allows optimizing and increasing the efficiency of the functioning of an e-commerce enterprise and the development of an appropriate system. The research focuses on the development of a sales forecasting system for goods (goods and services), which includes functionality for obtaining sales forecasts for some future periods. Modern web technologies such as HTML, CSS, C#, JavaScript, ASP.NET and databases are used to implement the required system functionality. During the development process, an analysis of modern forecasting methods and existing software solutions that provide sales forecasting in e-commerce was conducted, which allowed us to formulate a justification for the development of a software solution that generates forecasts and visualizes them based on the use of "historical" data. The result of the work is a developed web-based system for forecasting sales of goods in e-commerce, which provides users with a convenient interface for navigating the system. The developed system has the potential for further expansion and improvement, including the possibility of using artificial intelligence to generate forecasts and possible management decisions.