Case Study: City of Stockton accelerates pothole repair forecasting with Kyndryl AI

City of Stockton launches first public AI tool in under 30 days with Kyndryl

The City of Stockton, a municipal government serving over 320,000 residents, sought to leverage its vast stores of underutilized public works data to improve citizen services. Their challenge was to create a dynamic, AI-powered tool that could provide visibility into infrastructure repairs, starting with forecasting pothole repair timelines. They partnered with Kyndryl Consult to help operationalize this data and build a solution.

Kyndryl implemented a solution built on Microsoft Azure, utilizing Azure Databricks and Power BI to create a public-facing dashboard. This involved developing machine learning models to predict pavement conditions and estimate repair times. The project was delivered in under 30 days, providing citizens with real-time visibility and giving road crews more efficient planning insights. For Kyndryl's customer, this resulted in the city's first public AI tool, which boosted citizen confidence and established a framework for future smart city data products.

City of Stockton