Bookkeeping helps handle financial records, such as invoices, debits, and tax payments, and provides proper financial reporting, which boosts trust among business owners, the government, and consumers. It also generates accounting documents by recording all firm activities. Bookkeepers, business owners, and governments have reduced stress and vexation by transitioning to digital accounting, which improves accuracy and reliability. Bookkeeping includes accurately identifying items and entering financial information into an ERP system. AI has made automated accounting systems popular, allowing large businesses to do real-time tasks without difficulty. This study provides a novel approach to adapting bookkeeping systems to new tax laws and standards. Current systems mostly automate accounting for digital invoices; however, the findings and proposed solution extend to handwritten invoices. It will serve as an accounting and decision-making tool while addressing existing system limits. Business owners and the government have shown a strong interest in invoice processing and information extraction via automated accounting, although this area remains underexplored. The intended system will include three stages. Phase one will offer a basic ERP system for managerial duties, similar to existing alternatives. The second phase will handle numerous invoice forms using OCR, ICR, SVM, and PBM. Phase three will bring these divisions together to digitally preserve invoices, automatically update journals, and create critical financial documents such as ITRs, GST filings, and more. Payment channels and direct API interactions with government websites may be implemented to facilitate automated document processing and compliance.

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Automated Accounting System Using Artificial Intelligence

  • Kaushal Kishor,
  • Abhinav Bansal,
  • Aaryan Gupta,
  • Aviral Tyagi,
  • Anant Singhal

摘要

Bookkeeping helps handle financial records, such as invoices, debits, and tax payments, and provides proper financial reporting, which boosts trust among business owners, the government, and consumers. It also generates accounting documents by recording all firm activities. Bookkeepers, business owners, and governments have reduced stress and vexation by transitioning to digital accounting, which improves accuracy and reliability. Bookkeeping includes accurately identifying items and entering financial information into an ERP system. AI has made automated accounting systems popular, allowing large businesses to do real-time tasks without difficulty. This study provides a novel approach to adapting bookkeeping systems to new tax laws and standards. Current systems mostly automate accounting for digital invoices; however, the findings and proposed solution extend to handwritten invoices. It will serve as an accounting and decision-making tool while addressing existing system limits. Business owners and the government have shown a strong interest in invoice processing and information extraction via automated accounting, although this area remains underexplored. The intended system will include three stages. Phase one will offer a basic ERP system for managerial duties, similar to existing alternatives. The second phase will handle numerous invoice forms using OCR, ICR, SVM, and PBM. Phase three will bring these divisions together to digitally preserve invoices, automatically update journals, and create critical financial documents such as ITRs, GST filings, and more. Payment channels and direct API interactions with government websites may be implemented to facilitate automated document processing and compliance.