The most recent and common challenges in the sector:

• Quality control complexity: manual inspection reaches a maximum accuracy of 70-80%, with non-conformity costs impacting up to 18% of revenue
• Pressure on production costs: a 40% increase in raw material costs over the past two years, combined with energy costs, erodes margins by 20-25%
• Inefficiencies in the supply chain: interruptions and delays impacting production with line stoppages
• Constant technological evolution: the need to quickly adapt production processes for new technologies (EV, ADAS) with high reconfiguration costs

The integrated technology stack we have developed:

• Quality Control: computer vision system that inspects 100% of components with >99.8% accuracy, reducing defects by 45% and non-conformity costs by 35%
• Predictive optimization: ML algorithms that optimize production parameters in real time, increasing efficiency by 30%
• Intelligent Supply Chain: end-to-end forecasting and monitoring that reduces interruptions by 55% and improves production planning by 40%
• Smart Production: adaptive system that optimizes scheduling by considering multiple variables (materials, energy, labor) reducing operating costs by 25%