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Generation of standard documents

Use Case

Generation of standard documents

Standard documents can be classified and automatically completed using voice input and machine learning algorithms. This document can be checked and edited afterwards.

1

Process

In the logistics or health industry, employees are on the move, but have high documentation requirements. These are usually standardized documents such as CMR bills of lading or FIATA carrier documents, but also internal standard documents.

2

Algorithm

The employee can record all relevant information via a language interface (e.g. an app). The Machine Learning algorithm classifies the information and inserts it into the corresponding input fields.

3

Decision

The software generates a completed document with all information stored by voice. The user can control and edit the document in the office or in the app.

More Use Cases

Handwritten documents can be read out and prefilled using machine learning algorithms. By further input, these documents can be edited again, which again benefits the accuracy of the algorithm.

Electronic patient records can be evaluated using machine learning algorithms. This automatically provides doctors with suggestions for diagnoses and therapy options.

Diagnostic suggestions can be made by analyzing X-ray or MRI images using an algorithm.

Through standardized images of different leathers, a machine learning algorithm can classify leather and assign it to the right garments.


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