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Automatic categorization of documents

Use Case

Automatic categorization of documents

Companies working with thousands of customers and suppliers need to categorize their documents so that requests can be handled in time.



Incoming documents need to be classified in bulk, either by customer/supplier ID, by customer category or by urgency of request. This is done manually by most companies.



With OCR, the image is transformed into a Machine-readable format. Machine Learning algorithms are applied to recognize patterns (like complaints) or single data points (like customer ID).



According to the pattern or data points recognized, the documents are categorized and transmitted to internal systems (like SAP, CRM, ERP systems).

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.

Authorities need up-to-date information on the use of their land to be able to plan public infrastructure.

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