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Research Article

Unleashing Deep Learning: Transforming E-commerce Profit Prediction with CNNs

Authors

  • Norun Nabi Department of Information Technology, Washington University of Science and Technology, Alexandria, Virginia, USA
  • Md Amran Hossen Pabel Department of Marketing, Wright State University, Dayton City, Ohio, USA
  • Mohammad Anisur Rahman Department of Marketing & Business Analytics, Texas A&M University-Commerce, USA
  • Md Abu Sufian Mozumder College of Business, Westcliff University, Irvine, California, USA
  • Md Al-Imran College of Graduate and Professional Studies Trine University, USA
  • Md Murshid Reja Sweet Department of Management Science and Quantitative Methods, Gannon University, USA
  • Md Zahidul Islam School of Business, Gannon University, USA
  • Mohammed Nazmul Islam Miah Department of Management Science and Quantitative Methods, Gannon University, USA
  • Refat Naznin Department of Business Administration, Bangladesh University of Business and Technology (BUBT), Bangladesh
  • Mohammad Kawsur Sharif Department of Business Administration and Management, Washington University of Virginia, USA

Abstract

This research examines the potential of Convolutional Neural Networks (CNNs), including VGG16, ResNet50, and InceptionV3, in predicting ecommerce profits. Emphasizing the importance of high-quality datasets, the study showcases the superior performance of CNN models over traditional algorithms, particularly noting a notable accuracy rate of 92.55% with CNN (VGG16). These results highlight deep learning's capability to extract actionable insights from complex ecommerce data, offering significant opportunities for revenue optimization and operational efficiency improvement. The conclusion underscores the need for investment in infrastructure and expertise for successful CNN integration, alongside ethical and privacy considerations. This research contributes valuable insights to the discourse on deep learning in ecommerce, offering guidance to businesses navigating the competitive global market landscape.

Article information

Journal

Journal of Business and Management Studies

Volume (Issue)

6 (2)

Pages

126-131

Published

2024-04-11

How to Cite

Norun Nabi, Md Amran Hossen Pabel, Mohammad Anisur Rahman, Md Abu Sufian Mozumder, Md Al-Imran, Md Murshid Reja Sweet, Md Zahidul Islam, Mohammed Nazmul Islam Miah, Refat Naznin, & Mohammad Kawsur Sharif. (2024). Unleashing Deep Learning: Transforming E-commerce Profit Prediction with CNNs. Journal of Business and Management Studies, 6(2), 126–131. https://doi.org/10.32996/jbms.2024.6.2.12

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Keywords:

Deep Learning; E-commerce Profit Prediction; Convolutional Neural Networks