AudaTarget is a next generation decision support platform that helps improve repair shop assignment optimization. Using a predictive analytics model that normalizes repair cost data, AudaTarget provides insurers and MSOs with insight to better support repair shop assignments.
- Easily visualize how shops perform. See all repair shops in the area and sort them based on the best normalized scores.
- Understand estimate turnaround time. Insurers can see which shops are creating bottlenecks because of delays in the estimating process.
- Access comprehensive shop information. See shop information and performance including its rank among peers, number of repairs completed, its best and worst makes, and average estimate time.
- Create and manage templates. Create schemes and define selection criteria that can be used as filters during repairer searches.
- Pre-built or ad-hoc reports at your fingertips. Access pre-built reports using drop down parameters to quickly see repair network performance or slice and dice data, create new reports, and drill down into the details for more business insight.
Zone in on the best performing shops. Call out the shops that require improvement.
- Stop overpaying for repairs by knowing which repair shop can perform each claim most effectively
- Avoid routing assignments to repair shops with a poor NCR score and benefit from saving up to 5% of repair costs each year
- Know which repair shops are underperforming at a glance, providing real time coaching opportunities to improve the workflow.