Case Study: City of Kansas City cuts road-maintenance costs up to 50% and scales smart-city analytics with Amazon Web Services

Kansas City, Missouri, Spurs Growth with Smart City Analytics on AWSKansas City, Missouri, Spurs Growth with Smart City Analytics on AWS

Kansas City, Missouri, a fast-growing city with a booming downtown, needed to turn streams of sensor and civic data into practical, secure insights to improve infrastructure, public safety, and citizen services. Faced with more than 4,200 datasets and millions of events from streetlights, cameras, sensors, and regional partners, the city sought a scalable, cost-effective way to predict problems (like potholes), detect vacant buildings, and inform policy decisions.

Xaqt deployed its urban analytics platform on AWS—using Amazon Kinesis, Lambda, Redshift, and DynamoDB—to ingest over one million real-time events per day, run predictive models, and securely share data regionally. The result: preventive roadwork that can save up to 50% versus emergency repairs, vacant-building identification with 85% accuracy, faster model testing and regional insights, and a scalable, low‑overhead solution available via AWS Marketplace.

City of Kansas City

Bob Bennett

Chief Innovation Officer