Abstract The primary objective of this work was to automate the transfer of digitized invoices into an accounting software system. Traditionally, manual invoice processing is time-consuming, prone to errors, and increases operational costs, hindering timely financial reporting. The work analyzes various solutions for invoice digitization, their export methods, and the technologies utilized for system development and data transmission. The key outcome is the successful implementation of a system for transferring digitized invoices into accounting software. The system leverages a modular design with a microservices-oriented architectural approach, with C# chosen as the primary programming language. To ensure reliable asynchronous communication, AWS Simple Queue Service (SQS) was utilized, and AWS DynamoDB was used for persistent data storage. The system was designed to eliminate manual intervention in the invoice processing workflow, thereby enhancing efficiency, accuracy, and overall operational speed. This work significantly contributes to centralizing invoices in a digital format with a unified design, streamlining accounting processes, and laying the groundwork for advanced financial analytics or machine learning applications in accounting.
Maťašová et al. (Sun,) studied this question.
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