Research on AI-Driven Dynamic Budgeting and Intelligent Cost Control Model for SMEs

Authors

  • Zhijun Liu Fordham University, New York, NY, USA Author

DOI:

https://doi.org/10.70088/ww66e583

Keywords:

AI-driven budgeting, cost control, SMEs, machine learning, financial optimization

Abstract

This research article explores the development and implementation of an AI-driven dynamic budgeting and intelligent cost control model tailored for small and medium-sized enterprises (SMEs). The study introduces a novel framework that integrates machine learning algorithms with real-time financial data to optimize budget allocation and enhance cost efficiency. Through rigorous experimentation and analysis, the paper demonstrates the model's effectiveness in addressing common financial challenges faced by SMEs, offering actionable insights for sustainable growth.

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Published

31 May 2026

Issue

Section

Article

How to Cite

Liu, Z. (2026). Research on AI-Driven Dynamic Budgeting and Intelligent Cost Control Model for SMEs. Artificial Intelligence and Digital Technology, 3(2), 32-43. https://doi.org/10.70088/ww66e583