STOPPING COSTS FROM ANOMALIES NOT IDENTIFIED BEFORE PRODUCTION AND WARRANTY FRAUD
- The more issues detected during development the less warranty and service costs are incurred later on.
- In post-production, identifying issues ahead of time enables more vehicle uptime.
- A continuous improvement loop paves your way to a zero downtime future.
Stratio use cases cover the development and testing of new vehicles (pre-production), and the aftersales period / lifetime of the vehicles on the market.
By applying machine learning models to detect anomalies and faults Stratio allows vehicle development teams to automatically find, and continuously label new issues and deviations in data.
Using Stratio, teams automate a significant part of the testing process, whilst becoming able to find smaller issues earlier and faults not only thought of.