MRI
MRI India Journals Vol. 13 No. 2S (2026): Special Issue: ICSAIEM

AI-Driven Tokenized E-Commerce

Authors

  • Dipannita Mondal Department of AI & D, Dr. D Y Patil College of Engineering & Innovation Pune, India
  • Rishabh Kadadore Department of AI & D, Dr. D Y Patil College of Engineering & Innovation Pune, India
  • Shravani Jadhav Department of AI & D, Dr. D Y Patil College of Engineering & Innovation Pune, India
  • Om Shete Department of AI & D, Dr. D Y Patil College of Engineering & Innovation Pune, India
  • Saurabh Koturwar Department of AI & D, Dr. D Y Patil College of Engineering & Innovation Pune, India

Keywords:

E-commerce Virtual Tokens AI Encryption Promo Code Security Affiliate Marketing Machine Learning Digital Rewards Cybersecurity Dipannita Mondal

Abstract

This paper discusses the actual implementation of an AI-based e commerce referral system with a token-based reward program. The implementation is aimed at allowing the customers to become affiliates and receive tokens via the use of promo codes to refer other people. The hybrid model of AI employs the machine learning techniques for identifying fraudulent transactions, secure promo code management, and token distribution. The paper highlights the aspects related to transactional, security, and learning functionalities of this system implementation.

 

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Published

2026-06-15

How to Cite

Mondal, D., Kadadore, R., Jadhav, S., Shete, O., & Koturwar, S. (2026). AI-Driven Tokenized E-Commerce. Multidisciplinary Journal of Research in Engineering and Technology, 13(2S), 69–75. Retrieved from https://journals.mriindia.com/index.php/mjret/article/view/3555

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