Leveraging Advanced AI in Activity-Based Costing (ABC) for Enhanced Cost Management

Authors

  • Bing Chen1* 1CPA, CMA, Shanghai Maritime University, Shanghai, China.

DOI:

https://doi.org/10.51483/IJAIML.5.1.2025.70-79

Keywords:

Artificial intelligence, Activity-based costing, Cost allocation, redictive analytics, Real-time analytics, Operational efficiency

Abstract

The integration of Artificial Intelligence (AI) into Activity-Based Costing (ABC)
systems represents a pivotal transformation in cost accounting methodologies.
This paper explores the practical application of AI-driven ABC systems in modern
enterprises, emphasizing their impact on improving cost allocation precision,
operational efficiency, and strategic decision-making. Through a thorough
examination of algorithmic frameworks, comprehensive case studies, and
measurable outcomes, this study demonstrates how AI can fundamentally
reshape cost management practices and support broader organizational
objectives.

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Published

2025-01-25

How to Cite

Bing Chen1*. (2025). Leveraging Advanced AI in Activity-Based Costing (ABC) for Enhanced Cost Management. International Journal of Artificial Intelligence and Machine Learning, 5(01), 70–79. https://doi.org/10.51483/IJAIML.5.1.2025.70-79

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