AI rooftop analysis and lead scoring for a US solar provider

The challenge

A major US residential solar panel manufacturer relied heavily on door-to-door lead generation — representatives visited potential clients to assess rooftop suitability and pitch installations. As the business expanded across multiple US states, this model hit serious scalability limitations. Each new market required office space, relocation costs, insurance licenses, and sales rep onboarding — all before generating a single lead. Feasibility checks for determining which homes were appropriate for solar installation depended on costly external tools and expert judgment, lacking any automation. Field representatives' performance across metrics like pitch quality and lead conversion couldn't be tracked in real time, limiting the company's ability to coach employees or plan expansion strategically.

Our solution

We built a location intelligence and sales enablement platform that fundamentally changed how the client enters new markets. Computer vision algorithms analyze satellite imagery to automatically identify rooftops suitable for solar panel installation — evaluating roof angle, size, shading, and orientation. An AI lead scoring engine ranks prospects by conversion probability, so reps focus on the highest-value opportunities first. A React Native mobile app gives field representatives real-time performance feedback, coaching insights, and route optimization. For management, the platform provides a data-driven expansion planning tool that evaluates market potential in new states before committing resources.

Key highlights

Tech stack