Enhancing Supply Chain Forecasting with Machine Learning: A Data-Driven Approach to Demand Prediction, Risk Management, and Demand-Supply Optimization

Jiamin Zhang; Wang Yuyang; Wang Zidu

doi:10.54254/3049-5768/2024.18321

Article Information

Received: 11 December 2024

Published: 13 December 2024

DOI: https://doi.org/10.54254/3049-5768/2024.18321

Article Type: Research Article

Cite this article

Zhang,J.;Yuyang,W.;Zidu,W. (2024). Enhancing Supply Chain Forecasting with Machine Learning: A Data-Driven Approach to Demand Prediction, Risk Management, and Demand-Supply Optimization. Journal of Fintech and Business Analysis,2(1),1-5.

Data availability

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

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About this Volume

Volume Title: JFBA Vol.2

Part of Series: Journal of Fintech and Business Analysis

ISSN: 3049-5768 (Print) / 3049-5776 (Online)

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