Artificial Intelligence in Risk Prediction and Management of E-commerce Supply Chains

Wanxin Feng

doi:10.54254/2754-1169/2025.BL28534

Advances in Economics, Management and Political SciencesOpen access

Artificial Intelligence in Risk Prediction and Management of E-commerce Supply Chains

Research Article

Open Access

Artificial Intelligence in Risk Prediction and Management of E-commerce Supply Chains

Wanxin Feng ^1*

¹ Fisher College of Business

^*Corresponding author: Feng.1350@buckeyemail.osu.edu

Published on 28 October 2025

AEMPS Vol.233

ISSN (Print): 2754-1177

ISSN (Online): 2754-1169

ISBN (Print): 978-1-80590-485-4

ISBN (Online): 978-1-80590-486-1

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Abstract

In the face of the growing complexity and vulnerability of the e-commerce supply chain, artificial intelligence (AI) is used to improve risk prediction and decision-making greatly. This paper explores how AI-driven solutions have improved demand forecasting, logistics scheduling, and supplier risk management, as well as created new challenges, such as algorithmic bias, overreliance, and data privacy issues. The study also delves into the analysis of benefits and potential risks, supported by recent literature and industry case studies. To tackle these issues, this study offers suggestions about making the best use of AI in this situation, like improving data management, using both people and AI to watch over things, making sure computer stuff is safe from bad people who might want to mess with it, and following rules for being a good friend to AI. As shown in the result, with transparency in data governance and the addition of good technical protection, AI could help with supply chain resiliency and efficiency. The findings show that for these e-commerce businesses to do more than operate well, but actually have sustainable, resilient supply chains, they need to strategically and ethically embrace AI.

Keywords:

Supply Chain Risk Management, Artificial Intelligence, E-Commerce, Decision-Making, Ethical AI

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Cite this article

Feng,W. (2025). Artificial Intelligence in Risk Prediction and Management of E-commerce Supply Chains. Advances in Economics, Management and Political Sciences,233,41-50.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICFTBA 2025 Symposium: Data-Driven Decision Making in Business and Economics

ISBN: 978-1-80590-485-4(Print) / 978-1-80590-486-1(Online)

Editor: Lukášak Varti

Conference website: https://2025.icftba.org/Bratislava.html

Conference date: 12 December 2025

Series: Advances in Economics, Management and Political Sciences

Volume number: Vol.233

ISSN: 2754-1169(Print) / 2754-1177(Online)

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