Any business related to financial settlements, movement of material resources requires clear management, data registration, and documentation generation. In modern conditions, all these roles are taken on by software. Consumers want to get the most advanced systems, for which AI invoice processing is offered.
Features of application analysis
BUSINESSWARE TECHNOLOGIES INC is testing such systems. This study is conducted on the following main indicators:
- How accurately are invoices without items determined.
- How is work with invoices carried out, how high is the accuracy of determination.
- Duration of information processing from one page of a document.
- The cost of processing based on 1000 verified pages.
The company tested seven main systems based on artificial intelligence, found out the features of working with documents in different languages, and prepared information for consumers.
The company also provides recommendations based on its research, provides consulting services to clients who want to choose the most optimal system option for their specific needs.
Benchmarking services, i.e. application performance testing, can be provided upon individual request, taking into account all the specifics of the company’s business and its needs.
Testing can be carried out to study the operation of AI in real time, when it is necessary to process invoices and other documents as they arrive.
Advantages
The company constantly monitors updates of versions of applications based on artificial intelligence, conducts testing, identifies changes with previous versions and compares them with competitors. This way, an accurate, objective picture is obtained at each point in time. This allows us to give balanced, correct recommendations, providing customers with up-to-date information.
For testing, various digital documents are used in the form of invoices, receipts and other options used in the document flow of different countries. Different language models are also taken into account, which expands the capabilities of recommendations. They contain detailed characteristics of AI-based applications, where the indicators are compared with each other and with reference parameters.
Recommendations are justified in practice, they help business development.