Despite advances in digitalisation, organisations still possess a large number of documents and an even larger amount of data that often has to be processed manually.
Many employees spend countless hours collecting, preparing and processing relevant data from various documents such as invoices, purchase orders or contracts. And the struggle is real! These critical business documents come in a variety of formats, including paper or scanned documents, PDF and Word documents, emails, forms, you name it. In addition, an estimated 80 to 90% of the data they contain is unstructured and differs depending on the sender, recipient, or file type.
Manual processing of this unstructured data is not only one of the biggest time wasters, but also carries a high risk of errors and, apart from that, is not much fun.
But no worries, our software robots have got you covered â€“ with or without AI. They can automatically separate and sort documents by type, extract data, and prepare them in a new format or further process them in a system. Whether the documents are scanned or machine-readable is irrelevant. How does it benefit you? No more manual and error-prone entries, no more tedious separation of documents and no more time wasted by constantly searching for information â€“ everything is done automatically by our virtual employees.
When documents are neither machine-readable nor in a structured format, processing them can be frustrating and time-consuming. Luckily there is a solution: Intelligent Document Processing (IDP) with the help of smart software robots. By using advanced algorithms and machine learning models, software robots can automatically classify, extract and analyse documents with variable layouts and/or in scanned format, such as invoices, delivery notes, letters, contracts, orders, purchase orders or emails.
The intelligent software robots learn from experience and constantly adapt to new information as it comes in. Another advantage? Unlike stand-alone software providers, the robots can process the identified data directly, for example importing invoice data into ERP systems such as SAP.
Customs clearance involves a great deal of manual data entry, which is both time-consuming and prone to errors. With virtual employees, you can extract data from shipping invoices, bills of lading, and other documents, and automatically process it within the respective system.
Intelligent software robots can help companies make their document processes more efficient and cost-effective. By automating manual tasks, such as extracting data from different documents, organisations can save time and resources. Itâ€™s an easy way to increase efficiency, reduce costs, improve accuracy, maximise productivity and boost motivation, resulting in a better bottom line.
With Robotic Process Automation (RPA), software robots can automate business processes, freeing your employees from manual and repetitive tasks. This gives them time to focus on their core tasks.
Data science allows you to easily collect, analyse and visually present your process data. The large amount of data collected helps you to better understand work processes and to identify trends and correlations at an early stage.