IDP blog from ExB

We'll show you when document automation makes sense for logistics operations like yours and how modern AI takes on the tedious work of processing, checking, and validating your transport documents.

In this blog post, we explore the specific challenges of automating document reviewing, ranging from inconsistent layouts to maintaining data consistency across multiple documents. We will explain how modern AI, especially Large Language Models (LLMs), overcomes these hurdles and walk through a real-world example of sea waybill automation.

Intelligent Document Processing (IDP) is becoming increasingly important in the logistics industry. The digital transformation and growing demands for efficiency and speed are making the automation of document processes a key challenge. We often encounter similar questions in practice, as many logistics companies face the same challenges and do not yet know exactly how IDP can improve their existing workflows, which documents are suitable and what costs are involved.

Efficient workflows are the be-all and end-all of a successful company. They help to manage projects in a targeted, resource-saving and time-efficient manner. But how is it possible to design workflows in such a way that they not only run smoothly, but are also continuously improved?

Artificial intelligence (AI) is undoubtedly one of the most important digital innovations of our time. It now permeates almost all areas of industry and enables companies to make their production processes more efficient, evaluate data precisely and take automation to a whole new level. But what does artificial intelligence actually mean? What opportunities does it open up for your company and how can AI effectively change the automation of data and production processes? We'll tell you!

Due to the rapid digital transformation, companies are increasingly relying on automation to make processes more efficient and minimize the susceptibility to errors. Terms such as intelligent document processing (IDP), artificial intelligence (AI) and robotic process automation (RPA) are cropping up. These three technologies are revolutionizing industries such as logistics and are helping to improve data handling, efficiency in supply chains and document exchange along the supply chain. But what exactly is behind these technologies? What are the differences and how can they complement each other?

Optical Character Recognition (OCR), also known as optical character recognition, enables companies to efficiently extract text from PDF files. This technology converts the content of scanned documents or images into machine-readable formats, making them much easier to access and process. Since many company documents are in PDF formats - invoices, delivery bills, emails - OCR represents an important step towards automation and digitization.