International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

AI-Powered Financial Liquidity Management System for SME Apparel Businesses in Sri Lanka

Thathsarani W.R.V.KStudent, Department of Computer Science and Software Engineering, Sri Lanka Institute of Information Technology, Sri LankaPiusha P.G.TStudent, Department of Computer Science and Software Engineering, Sri Lanka Institute of Information Technology, Sri LankaPeiris D.T.MStudent, Department of Cyber Security, Sri Lanka Institute of Information Technology, Sri LankaPerera P.L.SStudent, Department of Information Technology, Sri Lanka Institute of Information Technology, Sri LankaProf. Sanath JayawardenaProfessor, Department of Computer Systems Engineering, Sri Lanka Institute of Information Technology, Sri LankaProf. Saliya ArachchigeProfessor, SLIIT Business School, Sri Lanka Institute of Information Technology, Sri Lanka

Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 559-565

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 05-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.710073

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Abstract

The apparel industry is a significant contributor to the economy of Sri Lanka. Small and medium enterprises are the most powerful sector in this industry. However, managing the financial liquidity in the SME apparel industry is a moderate challenge in Sri Lanka. Cash flow and liquidity are mismanaged by the authority, the SME apparel industry lacks maintaining cash flow statements, insolvency of SME businesses due to bankruptcy, and the tendency to have a risk when making a decision are the main problems for managing financial liquidity management system in SME apparel in Sri Lanka. This paper proposes an AI-powered financial liquidity management system specifically designed for the SME apparel businesses in Sri Lanka including machine learning, artificial intelligence techniques, and predictive analytics to provide real-time insights and proactive decision support for managing liquidity and it is a system that can manage employee’s salary, details, business’s income, business’s outcome, and risks. This proposed solution provides an excellent way of authentication and authorization, generating reports, risk prediction, and automating the cash flow infrastructure.

Keywords

AI-powered system, financial liquidity management, SME apparel businesses, Sri Lanka, cash flow management, Machine Learning (ML), Artificial intelligence (AI)


Citation of this Article

Thathsarani W.R.V.K, Piusha P.G.T, Peiris D.T.M, Perera P.L.S, Prof. Sanath Jayawardena, Prof. Saliya Arachchige, “AI-Powered Financial Liquidity Management System for SME Apparel Businesses in Sri Lanka” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 559-565, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710073

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