Stay Recall-Free. Let’s Release!

Quality risks don’t wait. E-motor failure, thermal runaway, and capacity fading in ageing batteries often remain undetected until vehicles are already in use. And once they surface, even isolated issues can trigger global product recalls, inflate warranty claims, and damage brand reputation. AVL’s AI trend prediction enables early risk identification. Our fleet analytics monitor real-world vehicle data continuously and translate slight sensor deviations into a powerful anomaly score. This reveals degradation trends and flags potential failures long before they happen. 97 % of issues are detected one month ahead, 38 % up to a year in advance. You act before impact – no blanket recalls, no emergency interventions. Identify the 8 % of at-risk vehicles and keep the rest on the road. Strengthen brand trust, decrease warranty liabilities, and avoid repair costs in the hundreds of millions. 

Initial product quality defines everything – yet it’s often compromised by fragmented tools and workflows. As requirements grow more complex, manual execution introduces errors and inconsistencies that could have been avoided. The consequences? Critical errors slip through, vehicles go live unsafely with issues, and costly recalls follow. AVL helps you prevent that. With a seamless, DevOps-ready pipeline spanning simulation to physical testing, you validate smarter, faster, and with end-to-end traceability. Test cases are automatically derived, executed, and documented based on requirements retrieved from the customer’s lifecycle management system, with results fed back after testing. Say goodbye to manual copy-paste and error-prone oversights. Whether on the testbed or in the field, you achieve consistent quality at every stage. Automate where it counts, remove uncertainty – and deliver vehicles developed to perform, not to be repaired.