Case Study: Riverside County achieves 40% higher property appraisal model accuracy with C3.ai

Riverside County boosts property appraisal accuracy 40% with C3.ai

Riverside County faced significant challenges in its property appraisal process, which was lengthy, manual, and relied on inaccurate linear-regression models. This led to inconsistent valuations, a high volume of time-consuming manual reviews, and an inability to perform bulk updates. The county's assessor-county recorder (ACR) office needed a solution to integrate data from multiple sources, improve model accuracy, and increase staff efficiency. They partnered with C3.ai, deploying its Residential Property Appraisal application to address these issues.

C3.ai implemented a solution that unified over 100 million data points and built machine learning models tailored for the county. This resulted in a 40% improvement in model accuracy, enabling the automatic enrollment of 97% of all property sales. The project delivered a potential annual economic benefit of $4 million, an 8x reduction in model complexity, and a 37% potential increase in staff efficiency, allowing appraisers to focus on more complex work.

Riverside County