Daniel Jordan's Linkedin Analytics

Every work process in the company 🏢 has to do with documents 📃. Whether in paper form or already as a file. This is referred to as unstructured data. The information ℹ️ is on or in the document, but cannot be automatically integrated into the work processes, because it is not easily recognized by any software. DOC² is the latest document capture software and solution developed by Fellow Consulting AG. It is a fully cloud-based solution that uses artificial intelligence and machine learning to accurately recognize, classify, analyze and read their documents. Whether paper or file. DOC² learns independently. The advantages of DOC² at a glance: - Simple intuitive interface - Self-learning by the user - No IT resources required - Ensures a robust and continuous work process - Through swarm intelligence you benefit from the experience of other customers - No sensitive data is stored - Enables an automated process without constant corrections and interventions - Saves time in the inbox - Improves accuracy and quality of recognized data - Reduces errors from manual intervention How to use DOC²: - Scans and recognizes all types of documents (invoices, contracts, forms, medical prescriptions, ...) - Reliably extracts the data and feeds it to further processing (transfer to ERP or RPA system) - Validates the extracted data and checks it against other systems from internal and public sources - Integrates with your system landscape (e.g. ERP system, document management, workflow system, ...) Why do you need something like this? Many companies have realized that processing incoming invoices, for example, can be very time-consuming. They try to increase productivity and optimize the purchase-to-pay process by introducing products to "digitize" invoices. DOC² uses swarm intelligence to do this. What does that mean? You benefit from the experiences of other customers and their "learning curve" without sharing sensitive data, of course. Through the cloud-based rules engine, which is based on state-of-the-art mathematics, we ensure continuous improvement of the application. In doing so, you don't need developers or Data Scientists, the system learns from the user's input and the process can continue without interruption. Deep-learning algorithms can be used to capture not only simple document header data, but also complicated structures such as tables. Of course, not only invoices are processed, but any type of document. No matter if waybills, membership applications, medical prescriptions and many more.