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machine learning

Nov 15 2022

Digitalization – Industry 4.0 – Artificial Intelligence

Künstliche Intelligenz
15. November 2022 von Leni

Digitalization – Industry 4.0 – Artificial Intelligence


These are all terms that we hear or read very often these days. Today we wanted to reflect on the topic of artificial intelligence (AI).

What exactly is artificial intelligence?

Where and how to use it? What benefits can it bring me and my company?

Artificial intelligence is not that easy to explain, for the simple reason that there is not even a precise definition for the term “intelligence”. Nevertheless, let’s try to explain it :-).

We can say that an AI is a mix of different technologies that enable machines to understand, act and learn with human intelligence. 

Technologies like machine learning (ML or MachineLearning), natural language processing (NLP – Natural Language Processing) as well as Deep Learning (DL) are all part of the AI landscape. 

In all areas where large amounts of data are generated, the use of an AI makes sense and is beneficial. An AI is able to objectively analyze huge amounts of unstructured data within a very short time using sophisticated algorithms, to recognize patterns in it, and to make decisions independently on the basis of these patterns. In addition, the error rate continues to fall due to the constantly growing wealth of experience. AI takes over everyday recurring routine tasks, so employees have more time to focus on tasks that require empathy and become more productive. In other words, AI should not and cannot fully replace a human, but merely support and complement them.

When combined with analytics and automation, AI can help the business achieve their goals, such as improved customer service or an optimized supply chain: faster and easier.

Automations reduce costs and bring a new level of consistency, speed and scalability to business processes.

With DOC², we want to help you automate your document processing processes. By using artificial swarm intelligence, DOC² offers you many advantages.

You want to know what they are?

Then feel free to write to us

contact
Artificial Intelligence

Image credit: Header & Featured image from Gerd Altmann on Pixabay

Written by Stephanie Propstmeier · Categorized: artificial intelligence, Blog, DOC², English, Machine Learning · Tagged: AI, Artificial Intelligence, Deep Learning, digitalization, DOC², future, Industry 4.0, machine learning, ML, Natural Language Processing, NLP

Mar 03 2022

Let Machines do annoying Tasks

3. March 2022 von Stephanie Propstmeier

Let Machines do annoying Tasks

Why not try something completely new and save time?

Putting the dishes in the dishwasher in the evening to let them do the work is perfectly normal.

How many hours we no longer have our hands in the dirty water!

What about other annoying tasks that have to be done by hand …

… for example manual invoice processing?

There is a solution with modern AI: DOC² reads all elements of an invoice automatically.

👉 Delivery bills

👉 All invoice lines

👉 Headers

👉 Footers

Use machines and artificial intelligence and make your life a little easier.

Just give DOC² a try.

https://doc2landing.cloudintegration.eu/

Or do you wash the dishes by hand?

Let machines do Annoying tasks

Written by Stephanie Propstmeier · Categorized: DOC², English, Machine Learning · Tagged: machine learning

Feb 28 2022

Extract German invoices easily with DOC²

DOC²
28. February 2022 von Stephanie Propstmeier

Extract German invoices easily with DOC²


Digitize documents intelligently

Digitize German invoices: Convert your PDF file, images, Word or other files and use the read out meta data (attributes) for your processes.
In the course of the ongoing digital transformation, many companies are looking for new ways to accelerate the entry and classification of invoices. DOC² Landing offers intelligent solutions for the classification and automatic reading of invoices or receipts. In the case of German invoices, we automatically extract all the fields required for your ERP.

How does DOC² help you to optimize your workflow?

It’s very simple: DOC² can precisely categorize documents recorded with user-defined key values from various input or storage sources. Whether the data is structured or not is irrelevant.

Advantages of DOC²:

  • At the same time, the digital transformation of your archives drastically reduces paper costs. => A win-win situation for your company!
  • Since manual processing is largely eliminated, the error rate for manual entries is significantly reduced.
  • This saves you the time that you would otherwise need to manually search for all the important and target-oriented information from your documents.

How exactly does it work?

The system uses the Optical Character Recognition (OCR), Intelligent Character Recognition (ICR) function to identify the type of document to be processed. This step thus determines the type of documents and can thus distinguish an invoice from a credit memo, for example.
The system uses a number of techniques to precisely classify data: search for content, images.

How does the extraction of values work for a German invoice?

Test it with your bills now

The values associated with each key are extracted into the corresponding field and also outlined on the invoice and connected with a line. This line, which points to the value, makes it easier for the employee to find the value on the invoice. This repeats itself with all fields that are extracted.

The picture above shows the calculation on the left and the automatically extracted values on the right, which are divided into four sections.

The following are extracted:

Fields for an invoice:

BASIC INFORMATION

  • INVOICE NUMBER
  • INVOICE DATE
  • DELIVERY DATE
  • PO NUMBER

PAYMENT DETAILS

  • IBAN
  • PAYMENT TERMS

VAT & AMOUNTS

  • AMOUNT TAX FULL
  • NET AMOUNT FULL
  • TOTAL AMOUNT
  • CURRENCY
  • VAT RATE

VENDOR DETAILS

  • NAME
  • VAT
  • ADDRESS

LINE ITEMS

  • NUMBER OF ARTICLES

Written by Stephanie Propstmeier · Categorized: DOC², English, Integration · Tagged: classification, invoice processing, machine learning

Feb 28 2022

Simply extract the Spanish invoice with DOC²

DOC²
28. February 2022 von Stephanie Propstmeier

Simply extract the Spanish invoice with DOC²


Digitize documents intelligently

Digitize German invoices: Convert your PDF file, images, Word or other files and use the read out meta data (attributes) for your processes.
In the course of the ongoing digital transformation, many companies are looking for new ways to accelerate the entry and classification of invoices. DOC² Landing offers intelligent solutions for the classification and automatic reading of invoices or receipts. In the case of German invoices, we automatically extract all the fields required for your ERP.

How does DOC² help you to optimize your workflow?

It’s very simple: DOC² can precisely categorize documents recorded with user-defined key values from various input or storage sources. Whether the data is structured or not is irrelevant.

Advantages of DOC²:

  • At the same time, the digital transformation of your archives drastically reduces paper costs. => A win-win situation for your company!
  • Since manual processing is largely eliminated, the error rate for manual entries is significantly reduced.
  • This saves you the time that you would otherwise need to manually search for all the important and target-oriented information from your documents.

How exactly does it work?

The system uses the Optical Character Recognition (OCR), Intelligent Character Recognition (ICR) function to identify the type of document to be processed. This step thus determines the type of documents and can thus distinguish an invoice from a credit memo, for example.
The system uses a number of techniques to precisely classify data: search for content, images.

How does the extraction of values work for a German invoice?

Test it with your bills now

The values associated with each key are extracted into the corresponding field and also outlined on the invoice and connected with a line. This line, which points to the value, makes it easier for the employee to find the value on the invoice. This repeats itself with all fields that are extracted.

The upper picture shows the calculation on the left and the automatically extracted values on the right, which are divided into four sections.

Fields for an invoice:

INFORMACIÓN BÁSICA

  • NÚMERO DE FACTURA
  • FECHA DE LA FACTURA
  • FECHA DE ENTREGA
  • NUMERO DEL ORDEN

AVISO DE PAGO

  • BIC
  • IBAN
  • CONDICIONES

IVA E IMPORTE

  • CANTIDAD DE IMPUESTO COMPLETA
  • CANTIDAD NETA COMPLETA
  • LA MONEDA
  • CANTIDAD TOTAL
  • PORCENTAJE IVA

INFORMACIÓN DEL PROVEEDOR

  • NOMBRE
  • NÚMERO DE IMPUESTO
  • DIRECCIÓN

ARTÍCULOS

  • NÚMERO DE ARTICULOS

Written by Stephanie Propstmeier · Categorized: DOC², English, Integration · Tagged: classification, invoice processing, machine learning

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