Esker Secures US Patent for Machine Learning Document Data Extraction

Esker, a leading provider of AI-driven process automation solutions, has announced the issuance of a US patent for its machine learning technology. The AI-powered solutions, spanning both the source-to-pay (S2P) and order-to-cash (O2C) cycles, are designed to reduce repetitive and low-value tasks, enabling businesses to cut costs and improve efficiency. Specifically, the newly patented AI technology focuses on automating the extraction of accurate data from incoming documents, freeing companies from the time-consuming and expensive manual entry of information for invoices, orders, and other documents. Using both traditional and machine learning algorithms, the technology identifies data fields, makes routing decisions, and suggests next actions, with the goal of reducing touches during processing as much as possible. The combination of human and artificial intelligence allows Esker’s technology to increase the accuracy over time by learning from user corrections.