Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and statistical models that allow computers to recognise patterns in data and learn from them. This technology uses various techniques, such as neural networks, decision trees and regression analysis, to make predictions or decisions without being explicitly programmed. The core of machine learning is that systems improve themselves based on experience, resulting in increasingly accurate outcomes.
What are the benefits?
Looking at the use of machine learning in scanning and recognition solutions, there are several advantages. First, it increases the accuracy of data processing. By continuously learning from new invoices, the algorithms improve themselves and adapt to variations and exceptions. In addition, machine learning saves time. Manual checking and correction of invoices is greatly reduced as the algorithms are increasingly able to classify and extract correctly.
Machine learning also promotes the adaptability of invoice recognition systems to new and changing invoice formats. The models constantly learn from new data, resulting in systems that are flexible and future-proof. Finally, machine learning improves efficiency by applying automatic error correction. When an error is detected and corrected, the algorithm learns from it, making the same error less likely in the future. With all these benefits, higher reliability and operational efficiency are achieved.
The application of machine learning in TriFact365
The above benefits are reasons for TriFact365 to apply machine learning in its scanning and recognition solution. TriFact365 digitises the documents that are uploaded to then process them into a booking proposal. Algorithms that create the booking proposal adjust based on machine learning. Here, the correction you apply as a user plays an important role. If you want to know more about machine learning, among other things, click here.