Building an IDP Marketplace for All
See how Rossum Marketplace resolves the big challenges of IDP implementations with even more extensions and low-code capabilities.
Rossum
Cognitive Data Capture, Explained: What Cognitive Data Capture Means for Automated Document Processing
Cognitive data capture uses AI & machine learning to recognize patterns and ignore imperfections in a document to conduct document analysis with precision.
Digital Transformation, Explained: What It Means for Automated Document Processing
Digital transformation for automated document processing has become a top priority as outdated solutions are no longer enough for document processing needs.
Document Processing in Retail:
The Benefits of Adopting a Modern IDP
IDP is an integral part of retail document processing as a way to help retail companies remain competitive in a booming industry.
Robotic Process Automation, Explained: What RPA Means for Automated Document Processing
RPA combined with IDP allows businesses to process a high volume of structurally different documents — without the need for manually-created templates.
Neural Networks, Explained: What They Mean for Automated Document Processing
Modern intelligent document processing (IDP) solutions that rely on neural networks are smart, fast, accurate, and highly automated, saving you time and money.
Turning Every Sales Win into a Customer Success Story
Here’s a look at what makes Rossum’s CX efforts unique. Our company’s CX organization is a collection of different customer-facing teams with a single goal – to deliver an excellent and consistent customer experience. This is how we do it.
Computer Vision, Explained: What Computer Vision Means for Automated Document Processing
Computer vision is a game-changer for document processing solutions with its ability to identify patterns and “read” without the help of manual templates.
HR's Worst Nightmare: Manual Document Processing
For HR departments, manual document processing can drain precious time and resources. IDP can help you get more done.