Modern production environments face the challenge of configuring complex machinery both flexibly and efficiently. Modular production lines create countless configuration options, making manual planning time-consuming, error-prone, and costly.
Potassco AI uses a declarative, knowledge-driven AI approach ideal for complex planning and configuration tasks. Instead of coding solution steps, one defines the conditions for valid solutions, and the system automatically generates all valued combinations.
Potassco AI saves hours of manual work and eliminates costly errors. By capturing and reusing expert knowledge, it ensures consistent quality and accelerates every project.
Configuring complex machines with many interdependent components was a time-consuming manual process. Engineers had to evaluate countless configuration possibilities and technical dependencies, which slowed down quotation processes and made it difficult to respond quickly to customer requests.
Potassco AI introduces a knowledge-driven configuration system based on logical rules. Engineers model technical dependencies and constraints, while the system automatically generates valid machine configurations and checks feasibility in real time.
Valid machine configurations are generated within seconds, significantly accelerating the quotation phase.
Custom packaging systems come with a hidden cost: complexity. Interdependent components force teams to spend hours troubleshooting conflicts, turning fast quotes into a slow, painful process.
A configuration system powered by Potassco AI was developed and seamlessly integrated into the existing IT infrastructure. It automatically validates customer requirements, finds feasible machine configurations, suggests alternatives, and provides interactive guidance to maintain valid setups.
Our solution delivered major efficiency gains by speeding up the quotation process and improving accuracy. It reduced proposal time by 60%, increased conversion rates, ensured error-free configurations, and secured critical engineering knowledge for long-term scalability
The video below shows a simple example that we use in conferences and scientific publications: configuring a bike. Our success stories demonstrate how Potassco AI delivers solutions for significantly more complex configuration tasks across diverse industries.
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Routes that reduce costs
and save time
Scaled resource allocation
Fair and economical shift planning