Today, quality issues are detected reactively, not proactively. It’s not uncommon for automakers to spend over $1 billion per year on total warranty spend.

But despite receiving terabytes of field quality data from connected vehicles, automotive companies often lack the tools to make this data usable for warranty analytics and cross-company quality management. Automakers, suppliers, and dealers need to act now in order to proactively address issues before they happen in the field and turn the corner on quality.

With QMOS' automatic and intelligent warranty claims processing and clustering, OEMs can finally have a holistic operating picture of potential quality issues across their fleet — helping reduce costs, improve quality, and attain a competitive advantage. It's also highly configurable, able to fit OEMs' and suppliers' existing and envisioned business processes, either as an end-to-end quality management solution or to fill relevant gaps in existing processes.

Features

• Identify and monitor affected vehicles prior to repair: Clustering and prioritization of DTC’s into failure patterns. This enables focused and value-driven quality management response time.
• Rapid hypothesis testing: means QMOS rapidly reduces time to identify, investigate, and root-cause issues — then helps prevents those issues from happening in the future.
• Fast and precise scoping and monitoring: of populations through Natural Language Processing and automatic clustering of claims. 
• The QMOS Ontology: connects seamlessly connected vehicle telematics, warranty claims, suppliers, dealers and more to provide a holistic view of quality.
• Foundry enables root cause analysis across multiple internal and external sources of data in a single operating picture