Design and Development of an Integrated Financial Data Monitoring and Intelligent Reconciliation Framework

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@article{1715491,
      author = {M. Subhiksha, D. Revathy},
      title = {Design and Development of an Integrated Financial Data Monitoring and Intelligent Reconciliation Framework},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {9},
      pages = {2445-2452},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715491.pdf},
      abstract = {The AI-Driven Financial Data Monitoring and Intelligent Reconciliation System is a web-based application developed to enhance the efficiency and accuracy of financial operations within an organization. The system integrates multiple financial modules, including sales, purchases, bank transactions, and expense management, into a unified platform that enables seamless data flow and centralized control. A key feature of the system is the intelligent reconciliation engine, which automates the process of matching bank transactions with corresponding expense records using rule-based logic and similarity analysis. This reduces manual intervention and minimizes errors in financial tracking. The system also incorporates role-based access control to ensure secure and structured interaction among different users such as administrators and operational users. The application is built using React for the frontend, Node.js and Express for backend services, and MongoDB for data storage, ensuring scalability and performance. Overall, the system improves financial transparency, operational efficiency, and decision-making capabilities.},
      keywords = {Financial Management System, ERP System, Intelligent Reconciliation, Web Application, React, Node.js, MongoDB, Real-Time Data Monitoring, REST API, JWT Authentication, GST Calculation, Automated Document Generation, AI-Based Expense Matching, Project Financial Tracking, Cloud-Based ERP.},
      month = {March},
      doi = {https://doi.org/10.64388/IREV9I9-1715491}
  }