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A Digital Financial Management Framework for SMEs: Leveraging AI, FinTech, and Predictive Analytics for Growth
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
Abstract
Small and Medium Enterprises (SMEs) play a crucial role in economic development, yet they often face significant challenges in financial management due to limited resources, lack of expertise, and inefficient traditional banking systems. This paper proposes a Digital Financial Management Framework that leverages Artificial Intelligence (AI), Financial Technology (FinTech), and Predictive Analytics to enhance financial decision-making, risk management, and growth opportunities for SMEs. The framework integrates AI-driven automation for accounting, budgeting, and fraud detection, FinTech solutions for seamless digital payments and access to alternative financing, and predictive analytics to optimize cash flow forecasting, credit risk assessment, and investment strategies. By utilizing machine learning algorithms and big data analytics, SMEs can gain real-time financial insights, improve transparency, and make data-driven decisions that foster business expansion. The proposed framework also addresses cybersecurity concerns and regulatory compliance, ensuring financial integrity and trust in digital transactions. This study highlights case studies and empirical evidence demonstrating the positive impact of digital financial tools on SME efficiency and profitability. Ultimately, this research underscores the transformative potential of AI, FinTech, and predictive analytics in creating a sustainable, inclusive, and growth-oriented financial ecosystem for SMEs.
Keywords
Digital Financial Management, Artificial Intelligence, FinTech, Predictive Analytics, Cash Flow Optimization.
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How to cite this paper
@article{1704963,
author = {Ngozi Joan Isibor, Augustine Ifeanyi Ibeh, Ngodoo Joy Sam-Bulya, Ejuma Martha Adaga, Chikezie Paul-Mikki Ewim; Godwin Ozoemenam Achumie},
title = {A Digital Financial Management Framework for SMEs: Leveraging AI, FinTech, and Predictive Analytics for Growth},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {2},
pages = {751-763},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1704963.pdf},
abstract = {Small and Medium Enterprises (SMEs) play a crucial role in economic development, yet they often face significant challenges in financial management due to limited resources, lack of expertise, and inefficient traditional banking systems. This paper proposes a Digital Financial Management Framework that leverages Artificial Intelligence (AI), Financial Technology (FinTech), and Predictive Analytics to enhance financial decision-making, risk management, and growth opportunities for SMEs. The framework integrates AI-driven automation for accounting, budgeting, and fraud detection, FinTech solutions for seamless digital payments and access to alternative financing, and predictive analytics to optimize cash flow forecasting, credit risk assessment, and investment strategies. By utilizing machine learning algorithms and big data analytics, SMEs can gain real-time financial insights, improve transparency, and make data-driven decisions that foster business expansion. The proposed framework also addresses cybersecurity concerns and regulatory compliance, ensuring financial integrity and trust in digital transactions. This study highlights case studies and empirical evidence demonstrating the positive impact of digital financial tools on SME efficiency and profitability. Ultimately, this research underscores the transformative potential of AI, FinTech, and predictive analytics in creating a sustainable, inclusive, and growth-oriented financial ecosystem for SMEs.},
keywords = {Digital Financial Management, Artificial Intelligence, FinTech, Predictive Analytics, Cash Flow Optimization.},
month = {August},
}