Design an Online Shopping Store Based on Opencart

Authors

  • Zne-Jung Lee Fuzhou University of International Studies and Trade, Fuzhou, China
  • Zhi-Yong Su Fuzhou University of International Studies and Trade, Fuzhou, China
  • Xi Cheng Fuzhou University of International Studies and Trade, Fuzhou, China
  • Zhen-Zhen Chen Fuzhou University of International Studies and Trade, Fuzhou, China
  • Zhen-Xin Lian Fuzhou University of International Studies and Trade, Fuzhou, China
  • Jin-Yuan Wu Fuzhou University of International Studies and Trade, Fuzhou, China
  • Rong-Fang Qiu Fuzhou University of International Studies and Trade, Fuzhou, China

DOI:

https://doi.org/10.37256/aie.112020262

Keywords:

OpenCart, e-commerce, PHP, website

Abstract

In the trend of online shopping, it facilitates the consumer shopping process. Moreover, it reduces the distribution of company's workforce and increases the use of space to reduce inventory. This paper is mainly to design an online shopping store based on opencart. For opencart, it is a free open source e-commerce platform which provides a professional and reliable foundation to build a successful online store. A recommender system learns from customers and products that could recommend most valuable products from among these available products. To design an online shopping store, it could use three recommended methods: item-based recommendation, user-based recommendation, and popularitybased recommendation. In this paper, we provide useful information technologies to design an online shopping store based on opencart. It is easy to manage products, customers, orders and more.

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Published

2020-03-12

How to Cite

1.
Lee Z-J, Zhi-Yong Su, Xi Cheng, Zhen-Zhen Chen, Zhen-Xin Lian, Jin-Yuan Wu, Rong-Fang Qiu. Design an Online Shopping Store Based on Opencart. Artificial Intelligence Evolution [Internet]. 2020 Mar. 12 [cited 2024 Jul. 13];1(1):1-7. Available from: https://ojs.wiserpub.com/index.php/AIE/article/view/262