AI application for the optimisation of document-controlled processes in logistics

Webinar

How to use AI to read data faster and better from logistics documents and process it digitally

Digitisation is not an end in itself in logistics (you know that even better than we do). The goal of digitalisation is primarily automation. Through automatic processing of digital information, goods and deliveries should be recorded faster and better in the ERP in order to list them faster online or to invoice delivered goods faster. On the way to digital processes, in many of our customer projects the increase in automation is blocked by the (expensive) manual capture of documents and the data/information they contain. The reasons for this are manifold:

  • Short relationships and high dynamics with business partners
  • Low level of digitisation among business partners
  • Hardly any sensible and pragmatic alternatives to paper-based processes

The solution: AI! The information contained in the documents can be reliably read out with AI and made available in a structured way to subsequent business processes. Even and especially with changing business partners. This reduces the little value-added "typing work" of your employees. Standard documents in particular, such as incoming or outgoing invoices, customs documents, delivery notes or waybills, can be largely automated with modern machine learning processes.

Web Seminar Contents

In this web seminar you will learn how, with our help, you can quickly and cost-effectively capture the information contained in your documents automatically. And without having to implement long and large projects first.

In particular, we will go into the following steps and aspects in more detail: 

  • General challenges in data capture from documents
  • Solution components
    • Exchange of data
    • AI Basics and Procedures
      - Visual Clustering of Layouts
      - Document Separation
      - Document Classification
      - Extraction of Subject Data/ nformation Extraction
      - Validation and Correction of Extracted Data
  • Practical examples from logistics processes
  • Determination of potential benefits
  • Concrete application examples

Of course, we would also be pleased if you would interactively contribute your suggestions and questions.

Q&A Session: 05 January 2022

The Q&A session will take place from 17:00 - 17:45 (CET).

Web Seminar Date: 20 January 2022

The web seminar will take place between 13:00 - 14:00 (CET)

This webinar is addressed to:

    Position

    • IT managers
    • Incoming Goods Manager
    • Head of Logistic / Head of Logistics
    • Supply Chain Manager

      Industry/Segment

      • Logistics
      • Suppliers
      • Trading companies (wholesale and retail)
      • production industry

      Do you have any questions in advance of the web seminar? Get in contact with us!

      Dr. Patrick Bartels, Head of Insurance Division
      E-mail: pbartels@inserve.de

      Arvin Arora, Managing Director
      E-mail: aarora@inserve.de
      Mobile: +491725156300