开发软件和硬件解决方案,以确定商品需求的趋势

A. I. Miftahova, E. I. Yangirov, E. I. Karaseva, A. I. Yangirov, E. Nikulina, I. Drovnikova
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引用次数: 1

摘要

目标。研究工作的目的是开发一个软件解决方案,通过分析大数据来识别消费品需求的趋势。为了实现这一目标,该工作分析了俄罗斯互联网零售市场的发展现状,以及设计软硬件解决方案所需的分析大数据的技术和工具。为了评估所获得的数据处理模型的有效性,使用了从开放来源获得的样本。作为研究的结果,已经开发出一种技术解决方案,可以根据公开来源的数据分析给定时间范围内对商品的需求。开发了一个基于订单数据的消费品需求分析软件组件。由此产生的技术解决方案支持数据的批处理,并且基础设施组件的体系结构允许分布式计算。在真实样本上测试该工具显示了这种方法在分析消费者需求趋势方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a software and hardware solution to identify trends in demand for goods
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.
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