Headquartered in Detroit, Michigan, Urban Science is a global automotive consultant and technology provider that delivers data-driven solutions for original equipment manufacturers and dealerships. Since its founding in 1977, the company has utilized and leveraged data science, analytics, and software to help automotive brands optimize performance and make smarter market decisions.

After the sale of a vehicle, franchised dealerships and independent repair facilities use service coupon campaigns to drive continued sales and customer retention. These service providers, however, lack insights into and analytics on performance relative to past campaigns and competitor offerings.

Our AI-powered Automotive Service Analytics Platform addresses this gap by introducing data-driven insights into the process of creating, benchmarking, and improving service coupon campaigns.

While a campaign is active, our interactive service analytics dashboard enables service providers to monitor key campaign metrics in real time at a variety of degrees of detail, such as redemption rates, response rates, and more.

When a service provider creates a new campaign, our system provides suggestions and actionable insights based on past performance data to optimize customer experience.

Our system takes the guesswork out of creating and monitoring service coupon campaigns, enabling users to work alongside AI agents to spot offering gaps, benchmark market competitiveness, and craft more successful campaigns.

Our platform uses a client-server architecture with Angular for the front end and a back end implemented in C#. Our agents are handled using LangChain and Microsoft Foundry LLMs, and are given read-only access to our Microsoft SQL database which handles data storage.