Neuronal-Consulting
Neuronal networks for the physical processes of the real world


Case Studies

Customized Industry 4.0 production

Beverage producers assign dozens of components on a production line to produce the individual products demanded by customers. The complex interaction of different plant layouts in production flow variations can be evaluated based on NPS. Trained deep networks of the AI engine support the identification of the best production routines and lead to completely new insights into the production process and its optimal conditions.


Chat bot construction

Presales often face customers on homepages with AI-based chat bots to handle the initial contact. This is where different types of knowledge carriers and data sources come together. NPM can help clarify why AI-based chat bot solutions behave the way they do. Trained deep networks of the AI engine enable control of the chat bot and support  responsible customer contact.


ERP software adaption

As ERP systems constantly receive process data, the underlying processes guide the customer through the business process. Examples can be found at the delivery, accounting, and supply chain. NPO can help identify as-is processes so that ERP software adapts to the customer's processes autonomously. It can also help review the efficiency of the as-is processes and reorganize them so that real-world processes improve.



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