Traceability in Automotive Manufacturing

Learn how automotive traceability supports recalls, supplier quality management, and root cause analysis by helping manufacturers connect quality data more effectively.

The Limits of Spreadsheets in Quality Risk Management 

Spreadsheets are widely used in quality management, but they often create fragmented data and limited risk visibility. This article explores why structured quality data is essential for managing operational risk and improving underwriting decisions.

Specialty Vehicle Recalls 

Specialty vehicle recalls are different: downtime affects essential services, not just customers. Using NHTSA recall data from 2020–2025, this article shows where recall volume concentrates, and what it means for manufacturers and insurers

Top Recalled Components

This analysis examines NHTSA recall data to identify which vehicle components drive the highest recall volumes, and how these patterns evolve across modern automotive platforms, From traditional systems to emerging electronics and EV-related architectures.

The Rising Wave of EV Recall 

EV battery recalls are rising, with more high-severity advisories each year. Learn how these growing defects affect insurers, OEMs, and today’s automotive risk landscape.

Latest Loss Ratio in Product Recall Insurance  

As product recalls grow more frequent and complex, insurers face mounting pressure from rising loss ratios. This article explores how smarter underwriting, data visibility, and risk analytics can help insurers restore balance and profitability in an increasingly competitive market.

Understanding Loss Ratios in Product Recall Insurance 

Loss ratios in product recall insurance are rising, but it doesn’t have to stay that way. With digital visibility and predictive insights, insurers can anticipate risks early, keep them under control, and improve their overall loss ratio.