ROLF – Reinforcement Learning für betriebswirtschaftliche Prozesse

In the ROLF research project, Fraunhofer IIS and DATEV are investigating the potential of artificial intelligence (AI) in business management processes.

Decisions in business management processes are often complex and subject to a large number of dependencies. Reinforcement learning (RL), as a form of AI, is particularly suitable for these types of challenges. Here, an AI agent (software) learns to make the right decisions independently by interacting with its environment.

The project therefore aims to develop an AI based on RL that allows fast and efficient decisions to be made in highly complex situations. In this way, for example, managers in multidimensional business processes (such as personnel planning) can be relieved and supported in their decisions.

The main task of Fraunhofer IIS in the project is the methodical realization, i.e. the implementation and training of the actual agent that interacts with its environment. To this end, various reinforcement learning methods are being evaluated, corresponding algorithms implemented and interfaces for data transfer provided.

DATEV is responsible for project management and coordination. It defines the technical requirements based on practical experience and provides simulation environments. Application-related data is provided in the simulation environments for interaction with the AI agent. Depending on the use case, this can be, for example, texts, order situation or (machine) workloads.

Facts, figures and data

© DATEV
project partner
© VDI/VDE-IT
project executing organization
© StMWi
sponsor

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Optimizing personnel planning and management

Employees are an important resource for the success of a company. This makes it all the more important to plan staff deployment correctly. By optimizing personnel planning and management, tasks can be completed and employees can be utilized more efficiently and appropriately. This can lead to an increase in company profits. And you improve the satisfaction and development of your employees through intelligently controlled, AI-supported personnel management.

Optimization of business processes:

We optimize individual decisions, e.g. in personnel planning. Optimized personnel planning can contribute to an increase in efficiency in the completion of tasks and employee utilization.