TECHNOLOGICAL Accelerating the adoption of AI technologies by machine manufacturers and machine using companies, providing a greener and more flexible and efficient way of building industrial machinery.

• Improved optimisation performance in equipment design and planning
• Enhanced predictive maintenance accuracy
• Improved decision-making for repair, reuse, and recycling
• Increased forecasting and scheduling accuracy through advanced analytics​

ECONOMIC: Increasing productivity, innovation capacity, resilience, sustainability, and global competitiveness of EU machinery manufacturing industries and the EU manufacturing companies, in particular, the ones considered to be energy-intensive: food, pulp and paper, basic chemicals, refining, iron and steel, nonferrous metals, and non-metallic minerals.

• Reductions in energy consumption, material waste, and cycle times
• Predictive and prescriptive maintenance solutions have reduced unplanned downtime, resulting in significant operational cost savings for machine users
• Improved decision-making accuracy for component reuse, supporting cost reductions in spare parts or end-of-life processing

SOCIETAL: Accelerating the green transition by providing AI technologies for the repair, reuse and recycling of machinery at the end of its first life, saving the CO2 emissions that new manufacturing would generate. Providing human workers (operate industrial machines) new levels of work efficiency, flexibility and safety, and learning and upgrading of skills, assisted by human-AI technologies, making their jobs more attractive.

• AIDEAS contributed to measurable reductions in resource consumption and waste generation​
• Societal impact was achieved through improved workplace safety, enhanced human–machine collaboration, and increased job attractiveness in the manufacturing and construction sectors