Summary
- Profile Type
- Technology offer
- POD Reference
- TODE20250120018
- Term of Validity
- 27 February 2025 - 27 February 2026
- Company's Country
- Germany
- Type of partnership
- Commercial agreement with technical assistance
- Targeted Countries
- All countries
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General information
- Short Summary
- A Germany-based SME is providing a AI-driven solution for fully automated production planning, customised for highly complex manufacturing environments. This innovative system optimises resource utilisation, reduces manual planning efforts and integrates easily with existing ERP/MES systems. The target partners include manufacturers, integrators, and industries with intricate production workflows. The company is seeking cooperation under joint venture, licensing or commercial agreements.
- Full Description
-
The presented solution is a robust cutting edge AI-driven production planning tool designed to address the inefficiencies of traditional planning methods. By leveraging machine learning algorithms, the system achieves optimal scheduling in less than 10 minutes, even for highly complex multi-step production processes involving shared resources and machine dependencies.
Key features:
Full automation: Eliminates manual intervention in planning processes.
Resource optimization: It ensures maximum utilization of materials, machines, and workforce.
Scalability: It is designed to be adaptable to businesses of all sizes and production complexities.
Seamless integration: Compatible with major ERP/MES platforms, enabling end-to-end production management. - Advantages and Innovations
-
Advantages and Innovations:
• Rapid Implementation: First actionable results can be achieved within four weeks, ensuring minimal downtime and quick ROI.
• Error Reduction: Intelligent automation drastically reduces manual planning errors, enhancing reliability and accuracy across production cycles.
• Customizable Optimization: The solution adapts to individual business needs, optimizing KPIs such as lead times, machine utilization, and on-time delivery rates.
• Seamless Integration: Compatible with existing ERP and MES systems, enabling effortless deployment without disrupting current workflows.
• Scalability: Suitable for businesses of all sizes and production complexities, with modular features to support future growth.
• Sustainability Integration: Considers social, economic, and ecological factors to align production planning with ESG goals.
• Data-Driven Decision-Making: Leverages predictive analytics to enable real-time insights and improved resource allocation.
Comparison with Existing Technologies
• Performance: Reduces planning effort by up to 90% compared to conventional tools such as Excel or SAP PP/DS.
• Ease of Use: Designed for intuitive use by production teams, with minimal need for specialized training.
• Economic Benefits: Achieves efficiency gains of 30% or more, leading to cost savings in labor and resource utilization. - Technical Specification or Expertise Sought
- The solution is actively deployed in production settings and available for tailored demonstrations to potential partners.
- Stage of Development
- Already on the market
- Sustainable Development Goals
- Goal 12: Responsible Consumption and Production
- Goal 9: Industry, Innovation and Infrastructure
- Goal 8: Decent Work and Economic Growth
- IPR status
- IPR applied but not yet granted
- IPR notes
- The intellectual property is protected through a combination of pending patents and proprietary algorithms developed in-house (secret know-how)
Partner Sought
- Expected Role of a Partner
-
The company seeks partners in:
• Industry: Manufacturing companies aiming to automate and optimize production processes.
• Technology Providers: ERP/MES system integrators to enhance compatibility and expand reach.
• Research Institutions: Collaborators to advance AI-based planning methodologies.
Our partnerships involve adopting, integrating, or co-developing solutions tailored to specific industry needs. We are open to collaborations under joint venture, licensing, or distribution agreements. - Type and Size of Partner
- University
- Big company
- SME 50 - 249
- R&D Institution
- Type of partnership
- Commercial agreement with technical assistance
Dissemination
- Technology keywords
- 02003002 - Manufacturing plants networks
- 01003003 - Artificial Intelligence (AI)
- 01003016 - Simulation
- 01003010 - Databases, Database Management, Data Mining
- 02003001 - Process automation
- Market keywords
- 08002005 - Machine vision software and systems
- 02006004 - Data processing, analysis and input services
- 08002003 - Process control equipment and systems
- 08002007 - Other industrial automation
- 08002006 - Numeric and computerised control of machine tools
- Targeted countries
- All countries