The automotive industry faces the challenge of reducing high warranty costs. In 2020, these costs amounted to 25 billion euros for the big seven OEMs. IAV offers an innovative solution to reduce these costs: data-driven field monitoring and probabilistic predictions.

Field Monitoring in the Automotive Industry

Our approach is based on the digital representation of error patterns in a database. This is the core of automation and allows for the detection of errors before they lead to major fleet failures. By targeted data analysis of anomalies, problems can be solved early, resulting in significant savings.

Probabilistic Prediction and AI-Based Root Cause Analysis

With probabilistic prediction, we can determine the likelihood of future failures. This is particularly useful for spare parts inventory and fleet forecasting. Our AI-based methods enable quick and cost-effective resolution of warranty cases.

Prioritization and Optimization of Repair Measures

Another advantage of our approach is the prioritization of measures based on future costs. By addressing the worst problems first, we can increase efficiency and reduce warranty costs. Additionally, we can identify known error patterns before a workshop visit and prescribe cost-optimized repairs.