Data Analysis of Online Shopper’s Purchasing Intention Machine Learning for Prediction Analytics

Authors

  • Andrew Frazier Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA Author
  • Fatbardha Maloku Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA Author
  • Xinzi Li Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA Author
  • Yichun Chen Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA Author
  • Yeji Jung Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA Author
  • Bahman Zohuri Adjunct Professor, Business Analytics School, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA Author

DOI:

https://doi.org/10.47363/JESMR/2022(3)162

Keywords:

Cannabis, Cannabis and Individual’s Financial, Monthly Tax Revenue, Domestic Product, State of Economy, Artificial Intelligence, Machine Learning, Deep Learning

Abstract

In an era of widespread internet-based commerce, any company with a web-based storefront is looking for ways to improve the customer experience, with the ultimate goal of facilitating purchases. This process can take many forms and use many strategies, but all of them start with one core task. The company must be able to identify who is least likely and most likely to make a purchase. We suggest that with basic web browsing analytics, machine learning with integrated artificial intelligence accompany with deep learning component can provide this capability, and is a viable tool for effective customer segmentation.

Author Biographies

  • Andrew Frazier, Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

    Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

  • Fatbardha Maloku, Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

    Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

  • Xinzi Li, Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

    Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

  • Yichun Chen, Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

    Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

  • Yeji Jung, Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

    Master of Science in Business Analytics Student Candidates, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

  • Bahman Zohuri , Adjunct Professor, Business Analytics School, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

    Adjunct Professor, Business Analytics School, Ageno School of Business, Golden Gate University, San Francisco, California 94105, USA

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Published

2022-09-30

Issue

Vol. 3 No. 3 (2022): Volume 3 Issue 3

Section

Articles