The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2024.0150941
PDF

The Role of Artificial Intelligence in Enhancing Business Intelligence Capabilities for E-Commerce Platforms

Author 1: Sinek Mehuli Br Perangin-Angin
Author 2: David Jumpa Malem Sembiring
Author 3: Asprina Br Surbakti
Author 4: Soleh Darmansyah

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 9, 2024.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: This research focuses on the application of BERT (Bidirectional Encoder Representations from Transformers) and Graph Neural Networks (GNNs) to improve business intelligence (BI) capabilities on e-commerce platforms. The main aim of the research is to develop automation methods for the classification of customer interactions and to create a more effective product recommendation system. In this study, BERT was used to analyze and classify customer interaction texts, including questions, complaints, and reviews, with accuracy reaching 97% and sentiment analysis accuracy of 93%. GNNs are applied to model complex relationships between customers and products based on transaction data, then used to provide product recommendations. The evaluation results show that the GNNs model achieved a mean average precision (MAP) of 0.92 and a normalized discounted cumulative gain (NDCG) of 0.88, indicating high relevance and accuracy in product recommendations. This research concludes that the integration of BERT and GNNs improves operational efficiency through classification automation but also provides added value in marketing strategies with better personalization of recommendations.

Keywords: Bidirectional Encoder Representations from Transformers (BERT); Graph Neural Networks (GNNs); business intelligence; e-commerce; product recommendation

Sinek Mehuli Br Perangin-Angin, David Jumpa Malem Sembiring, Asprina Br Surbakti and Soleh Darmansyah, “The Role of Artificial Intelligence in Enhancing Business Intelligence Capabilities for E-Commerce Platforms” International Journal of Advanced Computer Science and Applications(IJACSA), 15(9), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150941

@article{Perangin-Angin2024,
title = {The Role of Artificial Intelligence in Enhancing Business Intelligence Capabilities for E-Commerce Platforms},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150941},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150941},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {9},
author = {Sinek Mehuli Br Perangin-Angin and David Jumpa Malem Sembiring and Asprina Br Surbakti and Soleh Darmansyah}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org