AI-powered roof measurement supporting Solarstone’s sales growth

Removing a critical sales bottleneck in solar roof sales

Solarstone is an integrated solar roof manufacturer operating in a highly competitive and fast-moving market. Each project depends on accurate roof measurements to assess technical feasibility, installation cost, and return on investment.

Traditionally, this information was gathered through on-site visits and manual calculations. The process was slow, expensive, and introduced friction early in the sales funnel. As a result, roof measurement became a recurring bottleneck in the sales pipeline, delaying responses and affecting the early customer experience. The multi-step nature of roof assessment – measuring roof size, pitch, orientation, and estimating solar output – caused many potential customers to discontinue the process before receiving a quote.

Solarstone needed a reliable, scalable way to generate roof measurements and solar potential estimates early in the sales process – without site visits, delays, or compromised decision quality. The strategic goal was to modernize the sales workflow, reduce operational cost, and support growth without adding manual overhead.

Production-grade remote roof measurement delivered by Proekspert

Proekspert partnered with Solarstone to design and deliver a production-ready remote roof measurement solution based on satellite imagery and machine learning. The objective was not a proof of concept, but a dependable system that could be embedded into Solarstone’s real sales operations.

We took responsibility for the full delivery – from data processing and ML models to the end-user web application – ensuring the solution met real-world accuracy, usability, and scalability requirements.

Key responsibilities and deliverables:

• Machine learning models to detect buildings and individual roof faces from satellite imagery
• Automated calculation of roof geometry, area, tilt, and orientation
• Estimation of solar power production potential using roof and location data
• Development of a web-based user interface for fast, intuitive access to results
• Support for manual adjustments where human verification is required
• Architecture designed for scalability across regions using globally available satellite data
• Close cooperation with Solarstone’s leadership and product stakeholders

By relying on publicly available satellite imagery rather than region-specific data sources, the solution can be scaled efficiently across markets without dependency on locally available datasets.

The result is THOR – a custom-built remote measurement service developed specifically for Solarstone, delivering actionable roof data within seconds and replacing a slow, manual process with a reliable digital workflow. See the demo

Bottom line: Proekspert delivered a mission-critical sales enablement solution that allows Solarstone to qualify leads, generate quotes, and plan installations faster – without increasing operational complexity or risk.

Faster, clearer, and more reliable sales workflows

With automated roof measurement in place, Solarstone’s sales process no longer depends on early site visits or manual calculations. Sales teams can quickly assess feasibility, provide indicative pricing, and confidently guide customers through investment decisions. Early access to roof data and production estimates supports discussions around investment size, expected returns, and payback at the very start of the sales conversation. This feedback is sufficiently accurate for sales decision-making, while detailed validation can still follow later in the process.

The web-based interface provides clear visualization of roof faces and measurements, while automated calculations ensure consistency across quotes. Faster feedback reduces customer drop-off and enables better planning for installations and logistics.

The solution continues to support Solarstone’s growth by scaling across regions and adapting as satellite data quality improves – without requiring changes to the core sales workflow.

Impact for the client’s organization

These technical capabilities translate directly into business results for Solarstone:

• Higher lead conversion and better investment decisions. Reduced delays and clear early production and cost estimates help customers evaluate feasibility and return on investment sooner, keeping them engaged through the quoting phase.
• Lower sales and operational cost. Remote measurement reduces the need for early on-site visits and manual calculations, lowering effort and cost in the sales process.
• Scalable growth. A digital-first workflow supports expansion across regions without linear increases in sales, engineering effort, or operational complexity.

Client comment

“As an integrated solar roof manufacturer, we’ve always struggled with the cumbersome process of obtaining precise roof measurements. This process used to be a significant hurdle in our sales pipeline, causing unnecessary delays and impacting our customer satisfaction levels.

The introduction of the AI-based remote measurement solution was a game-changer for us. The solution’s ability to capture roof measures within seconds, with reasonable accuracy, has revolutionized our sales process. We can now provide quotes faster, plan our installations more effectively, and ultimately serve our customers better. The impact on our lead conversion has been outstanding. Since employing this solution, our turn rate has skyrocketed to an impressive 60–99%.”

Silver Aednik
CEO, Solarstone

Client

Solarstone is a European manufacturer of building-integrated solar roofing solutions. Founded in 2015, the company develops patented BIPV products that combine durable roofing materials with integrated solar power generation. With production in Estonia and growing presence across multiple European markets, Solarstone helps homeowners and developers adopt locally produced, sustainable energy through architecturally integrated solar roofs.

Technologies

Python, machine learning models, satellite imagery processing, custom algorithms, web application, cloud backend.