Fast start your automation objective with Teach&Learn, by changing nothing.
Teach&Learn gives you the capability to embrace document diversity in your supply chain and easily deliver automation without changing existing processes and without extensive setup.
Utilising three key components; Automated Data Extraction, Optimised Data Entry and Machine Learning, Teach&Learn intelligently extracts data from business documents usually requiring manual data entry, presents them to your team on a data entry portal and through this process, learns how you work.
Automatic discovery allows us to extract your data using the most appropriate method of data extraction for each document being processed; separate image, data or text extraction techniques are available to ensure the highest possible extraction levels. Extraction takes place automatically through intelligent extraction algorithms using a combination of pattern matching and label identification.
Every document we process will pass through the Business Rules Engine to be validated, have business logic applied and exceptions identified.
Once validation and business rules have been applied, the document is sent to the OmPrompt data entry portal for manual review by your team. OmPrompt's optimised data entry portal is a simple and easy to use website application for reviewing and interacting with the extracted data. Through their interactions your teams are teaching the solution about how to process your documents.
Known as matched pair machine learning, by successfully pairing two sets of common data; the extracted data against the changes (or lack of changes) during the teach stage, the self-learning functionality of the solution becomes very powerful. It provides the ability to automatically self-correct and create new or adjust existing extraction configurations without the need for manual intervention. As the solution learns the automation performance increases and the need to intervene manually decreases.