Development of a software and hardware solution to identify trends in demand for goods

Abstract

Objective. The aim of the research work is to develop a software solution for identifying trends in demand for consumer goods by analyzing big data.Method. To achieve this goal, the work analyzed the current state of development of the Internet retail market in Russia, as well as the technologies and tools for analyzing big data necessary for designing a software and hardware solution. To evaluate the effectiveness of the obtained data processing model, a sample obtained from open sources is used.Result. As a result of the study, a technical solution has been developed that allows analyzing the demand for goods in a given time range based on data from open sources.Conclusion. A software component has been developed to analyze the demand for consumer goods based on order data. The resulting technical solution supports batch processing of data, and the architecture of the infrastructure component allows distributed computing. Testing the tool on a real sample showed the effectiveness of this approach to analyzing consumer demand trends.

Keywords

• big data
• demand
• trend
• natural language
• software component