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Open Market Sales Trend Analysis System Using Online Shopping Mall Data

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2019, 5(2), pp.7-12
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : September 20, 2019
  • Accepted : December 11, 2019
  • Published : December 31, 2019

Seung-yeon Cha 1 Kang-ryeol Kim2 1 Labina Shrestha 1 Yeong-ju Kim 2 Choi, Jong Myung 1

1목포대학교
2목포대하교

Candidate

ABSTRACT

As online shopping is activated by the development of the Internet, consumers' purchase form is changing from the traditional face-to-face purchase method to online purchase method. Many sellers have flowed into shopping malls, and competition among sellers is very intense. Therefore, sellers in shopping malls need to establish rational marketing strategies by analyzing consumer purchase patterns and product sales trends. In this paper, we analyzed the purchase price of consumers by analyzing the product price, rating, and sales quantity of competitors who sell the same product in open shopping malls by time zone. In addition, the collected information was visualized in a chart so that the company's and competitors' sales trends could be easily compared. Using the above system, it is possible to predict the sales volume through the analyzed purchasing pattern and to select the reasonable price of the product by grasping the sales trend.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.