SOLAR PLACE
Challenge
Generating a detailed solar proposal traditionally involves a multi-step, manual process: initial lead qualification, scheduling an in-person site visit to measure the roof, and then manually calculating the system size, all of which take days or even weeks his delay causes customers to lose interest and encourages them to shop around, leading to lost leads
The actual energy output and financial return of a solar system are extremely sensitive to factors like shading (even partial shading can reduce output by up to 75%), roof orientation, and the optimal placement of panels
Manual estimation or reliance on simple maps is prone to human error, resulting in poorly designed systems and disappointed customers
Generating a detailed solar proposal traditionally involves a multi-step, manual process: initial lead qualification, scheduling an in-person site visit to measure the roof, and then manually calculating the system size, all of which take days or even weeks his delay causes customers to lose interest and encourages them to shop around, leading to lost leads
The actual energy output and financial return of a solar system are extremely sensitive to factors like shading (even partial shading can reduce output by up to 75%), roof orientation, and the optimal placement of panels
Manual estimation or reliance on simple maps is prone to human error, resulting in poorly designed systems and disappointed customers
Solution
This app automates solar quote generation by estimating usable roof area with advanced mapping and algorithms. It optimizes panel placement based on roof size, shading, and orientation for accurate results.
Instantly estimates solar panel requirements using smart surface analysis.
Considers roof dimensions, sh
ading, and direction for maximum efficiency.
This app automates solar quote generation by estimating usable roof area with advanced mapping and algorithms. It optimizes panel placement based on roof size, shading, and orientation for accurate results.
Instantly estimates solar panel requirements using smart surface analysis.
Considers roof dimensions, sh
ading, and direction for maximum efficiency.
Results
This app automates solar quote generation by estimating usable roof area with advanced mapping and algorithms. It optimizes panel placement based on roof size, shading, and orientation for accurate results.
Instantly estimates solar panel requirements using smart surface analysis.
Considers roof dimensions, sh
ading, and direction for maximum efficiency.
This app automates solar quote generation by estimating usable roof area with advanced mapping and algorithms. It optimizes panel placement based on roof size, shading, and orientation for accurate results.
Instantly estimates solar panel requirements using smart surface analysis.
Considers roof dimensions, sh
ading, and direction for maximum efficiency.