Becoming a Digital Champion with Data Science and Machine Learning
Resource scarcity and increasing regulatory requirements are forcing companies in almost all sectors to make fundamental adjustments to their products and the underlying value chains.
iteratec provides digital solutions to successfully overcome the key challenges of industrial sustainability:
1. MASTERING DECARBONISATION
Transition to renewable energies, increasing energy efficiency and switching to low-carbon technologies
2. INCREASE EFFICIENCY
Reduction of resource requirements and substitution of scarce raw materials
3. CLOSING MATERIAL CYCLES
Increase recyclability and establish efficient recycling systems for critical raw materials
iteratec delivers industrial-grade AI solutions to drive the sustainable transformation of your core business in a more reliable, scalable and cost-effective way. With our advanced machine learning approaches, we are able to predict and continuously improve optimal solutions for complex sustainability-related issues along your value chain - from sustainable product design and production to optimising supply chains and logistics processes.
Find out how we can support your area:
Use our AI solutions to overcome raw material shortages and reduce the proportion of environmentally harmful ingredients by identifying new, more sustainable formulations and material compositions up to 40 times faster than with conventional methods.
Der Übergang zu einer stärker kreislauforientierten Wirtschaft stellt viele Branchen vor Herausforderungen. Unsere KI-Lösungen helfen Unternehmen dabei, ihre Produktdesigns und Fertigungsprozesse für den Umgang mit höheren Rezyklatanteilen und schwankender Rohstoffqualität fit zu machen.
The shift towards a decentralised energy supply from renewable sources is increasing the complexity of energy management for both utilities and industry. Our AI solutions help companies to get a better grip on price and availability fluctuations and cost peaks, for example through intelligent storage.
Optimised time slot management not only saves time and costs for companies, suppliers, customers and freight forwarders, but is also a key to more sustainable logistics processes and lower emissions. Our AI-based tools for real-time decision support help you to use resources more efficiently in the logistics environment, from avoiding bottlenecks and optimising ramp utilisation to the intelligent management of your e-fleet.
The transformation of core industrial processes towards resource efficiency, decarbonisation and a circular economy is characterised by complex conflicting objectives, dynamic framework conditions and a high degree of system complexity. Existing methods are generally not sufficient to make the resulting challenges manageable.
By combining digital twins and machine learning, we are able to virtually simulate complex sustainability scenarios. This allows us to quickly identify optimal solution variants in highly complex systems and continuously improve them. This reduces the development effort in the real world and enables companies to react flexibly and adaptively to changing conditions.
Accelerate innovation by a factor of 40
Decision support in dynamic scenarios
Model development possible even with a limited database
Continuous improvement of decision quality through self-learning models
Development of high-performance cement substitutes from industrial waste (waste as a resource)
Challenge
Solution
Results
Optimisation of solvents for sustainable injection moulded parts (Sustainable by Design)
Challenge
Solution
Results
Use of AI to optimise the efficiency of solar energy production
Challenge
Solution
Results
With iteratec's AI-supported approach, we simulate thousands of solutions, taking into account factors such as expected performance, costs and sustainability at an early stage. This enables us to identify highly complex solutions that would be unachievable with conventional research. This is a real revolution that translates our research directly into marketable applications and paves the way for a sustainable transformation of the economy.
We work closely with international organisations, research institutions and open source initiatives to drive sustainable innovation in the industry. As an active member of the UNIDO AIM Global Alliance, we are helping to shape the responsible use of AI for sustainability in industry. In the Open Logistics Foundation, we promote open standards for digital logistics in order to make supply chain emissions transparent and reduce them. Through scientific partnerships in the circular economy, chemistry, engineering and materials science as well as our involvement in application-orientated research projects, we continue to develop future technologies in a practical way.
iteratec supports companies in the sustainable transformation of their products and the underlying value chains. In doing so, we combine technological expertise in the development of AI-based software solutions with in-depth expertise in the field of industrial sustainability. In this way, we deliver innovative approaches that enable companies to adapt their core value creation activities to the regulatory requirements of the European Green Deal, the European Climate Law or the Circular Economy Action Plan faster, more cost-effectively and more reliably. Our clients include both medium-sized companies and global corporations from various industries.
With more than 1,000 successful projects, iteratec is one of the leading experts for digital product innovation, software and architecture development as well as digital infrastructures. Founded in Munich in 1996, iteratec now employs around 600 staff and students at seven locations in Germany and Europe.
Do you have a specific request or questions about the sustainable alignment of value creation processes in your company? Send a request and we will get back to you.
Dr. Christoph Völker, Senior Consultant Sustainable Solutions
