International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Data Science and Machine Learning Approach to Improve E-Commerce Sales Performance on Social Web

  • Hussain Saleem (Department of Computer Science, UBIT, University of Karachi) ;
  • Khalid Bin Muhammad (Institute of Business Management, IoBM) ;
  • Altaf H. Nizamani (Institute of Physics, Sindh University Jamshoro) ;
  • Samina Saleem (Karachi University Business School, KUBS, University of Karachi) ;
  • M. Khawaja Shaiq Uddin (Department of Computer Science, UBIT, University of Karachi) ;
  • Syed Habib-ur-Rehman (Department of Computer Science, UBIT, University of Karachi) ;
  • Amin Lalani (Institute of Business Management, IoBM) ;
  • Ali Muhammad Aslam (Institute of Business Management, IoBM)
  • Received : 2023.08.05
  • Published : 2023.08.30
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Abstract

E-Commerce is a buzzword well known for electronic commerce activities including but not limited to the online shopping, digital payment transactions, and B2B online trading. In today's digital age, e-commerce has been playing a very important and vital role in areas such as retail shopping, sales automation, supply chain management, marketing and advertisement, and payment services. With a huge amount of data been collected from various e-commerce services available, there are multiple opportunities to use that data to analyze graphs and trends. Strategize profitable activities, and forecast future trade. This paper explains a contemporary approach for collecting key data metrics and implementing cost-effective automation that will support in improving conversion rates and sales performance of the e-commerce websites resulting in increased profitability.

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References

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