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Text analysis customer service

Use Case

Text analysis customer service

Customer service agents enter information on complaints or complaints in forms. Information from these clusters can flow into the optimization of business processes.

1

Process

Customer service agents enter valuable information on customer complaints in forms. This information is usually not available in a structured way and can therefore only be analyzed inadequately.

2

Algorithm

Machine Learning algorithms analyze the text and cluster the information. With an increasing number of examples, the algorithm learns to recognize patterns and classifies the information independently.

3

Decision

The clustered information can be analyzed and integrated into business processes such as website design, service, marketing or logistics.

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.

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

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