Analysis of Sales Products Based on Data Mining

  • Zhuofan Zhong Hangzhou Normal University
  • Sihan Wu Zhejiang A&F University
  • Runkang Yang Hangzhou Normal University
  • Yiming Qian Hangzhou Normal University
Ariticle ID: 3044
89 Views, 21 PDF Downloads
Keywords: Correlation Analysis, Multinomial Logistic Regression, EWM

Abstract

With the popularization and development of the Internet, online sales are gradually replacing offline sales and occupy a major position in the sales industry. The transformation of sales mode will also be a huge challenge for commodity companies. Analyzing and mining market information and consumer feedback has become the key to network marketing. Based on the data of mathematical modeling competition for American college students in 2020, this paper mainly uses mathematical methods such as correlation analysis, multiple Logistic regression and natural language processing to formulate sales strategies for microwave ovens, hair dryers and baby nipples launched and sold by Sunshine Company in the online market, and analyze customer feedback data.

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Published
2022-07-07
How to Cite
Zhong, Z., Wu, S., Yang, R., & Qian, Y. (2022). Analysis of Sales Products Based on Data Mining. Financial Forum, 11(2), 39-42. https://doi.org/10.18282/ff.v11i2.3044
Section
Original Research Article