Holistic customer-oriented service optimization for fleet availability

Third party funded individual grant

Start date : 01.06.2021

End date : 31.05.2024

Overview

External partners

(1)

Project details

Short description

The main goal of this project is to improve customer service processes and customer satisfaction.

In this project, we analzye event data from various sources like customer service activities and IoT data from high-end medical devices. The data is used in combination to implement solutions for real-time diagnosis of machine failures and to predict outcomes of customer service processes.

Methods designed and used include:

Deep Learning
Process Mining
Predictive Business Process Monitoring
Data Fusion

Involved:

Björn Eskofier Project Leader Johannes Roider Project Leader

Contributing FAU Organisations:

Machine Learning and Data Analytics Lab

Funding Source

Industrie Siemens Healthcare GmbH andere Förderorganisation d.hip