The week's pick
Reseach Article
Implementation of Financial and Business Management System for Plant Engineering
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 81 |
| Year of Publication: 2025 |
| Authors: Sriram Gopalan G., Deepak Raj S., Bharath Karthik K., Ashwin Kumar S., Bharathganesh S. |
10.5120/ijca2025924748
|
Sriram Gopalan G., Deepak Raj S., Bharath Karthik K., Ashwin Kumar S., Bharathganesh S. . Implementation of Financial and Business Management System for Plant Engineering. International Journal of Computer Applications. 186, 81 ( Apr 2025), 19-22. DOI=10.5120/ijca2025924748
Abstract
This paper is designed specifically for the plant engineering (PE) industry, the entire financial and business management system addresses the capital-intensive specific financial challenges of the business. By incorporating advanced financial data models (FDM) enhances credit risk (CR) analysis and management and how to make investment decisions, how to maintain traditional financial records, including credit history and balance sheets, and real-time expense data and advanced analytical insights to generate dynamic, accurate credit risk assessments for customers, contractors, and suppliers using data analytics, the system will be able to identify patterns in cash flows, payment behavior and historical trends, providing a more sophisticated view of financial health and risk exposure. This approach provides an early warning of potential bankruptcy, enabling technical strategy to mitigate risks before major issues arises. Real-time credit monitoring is an integral part of this business management system, which monitors account balances, transaction history, and credit utilization (CU) .This system will also provide dynamic credit utilization reporting, enabling enterprise technology firms to monitor exposure to credit risk and adjust their budgets accordingly.Furthermore, detection mechanisms and controlled fraud will continue to analyze networks, identifying anomalies that may indicate fraudulent activities. This fraud detection will be particularly important in monitoring complex financial transactions in the supply chain provide in, where inconsistent payments, cost overruns, or questionable contract payments may undermine the industry's financial integrity by actually flagging unusual activities time. This methodology will enable factory and technology companies to respond quickly to potential fraud, protect their finances and maintain operational stability. The platform will offer tailored lending solutions based on each customer’s unique financial profile, with recommendations to maximize credit over time.
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