The evolution of invoices

invoice

For some time now, companies have been focussing more and more on e-invoicing. Our world, and the business world in particular, is becoming increasingly digitalised and business processes need to run more and more efficiently.

Effortless PO Matching in Infor LN and M3

PO Matching

In the intricate world of enterprise resource planning (ERP), ensuring a seamless and efficient Purchase Order (PO) matching process is a pivotal aspect of operations. This is where the innovative DocBits solution by FELLOWPRO AG marks its territory, especially in the realms of Infor LN and M3 systems.

From Order to Invoice

PO Matching

In the complex world of enterprise resource planning (ERP), the journey from order to invoice is pivotal. This is where DocBits, a groundbreaking solution by FELLOWPRO AG, plays a crucial role in ensuring seamless Purchase Order (PO) matching.

The evolution of accounts payable

accounts payable

In today’s business world, the terms “artificial intelligence” and “automation” are ubiquitous, but their mention doesn’t always evoke exclusively positive associations.

The Future of PO Processing

In the ever-evolving landscape of enterprise resource planning (ERP), the future of Purchase Order (PO) processing is being reshaped by innovative technologies.

How DocBits Enhances Efficiency in Infor LN + M3 PO Matching

In the contemporary landscape of enterprise resource planning (ERP), efficiency is key, especially in the realms of Infor LN and M3 for Purchase Order (PO) matching. This is where DocBits, a cutting-edge solution by FellowPRO AG, comes into play

Overcoming Challenges in PO Matching with DocBits

PO-Abgleich

In the intricate world of Purchase Order (PO) matching, overcoming challenges efficiently and accurately is crucial for any business’s financial health. This case study explores how DocBits, an innovative solution developed by FELLOWPRO AG

What is Deep Learning?

Deep Learning

The Magic of deep learning. Deep learning is a sub-area of machine learning and uses neural networks and large amounts of data.