01
Create the site model
Turn available property data into a rooftop model that can be checked before design decisions are made.
Independent, source-backed solar case study · AI solar design & site analysis
Michigan Solar Solutions: 70% less design time with AI.
Michigan Solar Solutions used AI-assisted modelling and automated simulations in its solar design and sales process. Aurora Solar reports faster design, high proposal accuracy, and stronger storage sales.
Starting point
Michigan Solar Solutions needed to produce accurate designs and proposals faster while maintaining customer trust in production estimates and battery recommendations.
Solution implemented
The company used Aurora AI, automated production simulations, proposal tools, Contract Manager, and storage options in one design-to-sales workflow.
Reported result
Aurora Solar reports 70% less design time, 98% proposal accuracy for production estimates, a 45% storage attach rate, and 15–20 minutes saved per contract.
How it worked
MSS connected AI-assisted design to the customer proposal.
The system created the roof model, tested layout and shading, calculated expected production, and carried those assumptions into the proposal and storage conversation.
Headline result
70% less
design time, reported by Aurora Solar
02
Test layout and shading
Use assisted design to compare panel placement, roof constraints, and expected solar access.
03
Calculate production
Connect the proposed design to production estimates and the commercial case presented to the customer.
04
Compare system options
Show how storage or alternative configurations change the proposed system and customer outcome.
Reported business impact
The reported results combined speed with accuracy.
Aurora Solar's customer story reports that MSS reduced design work while preserving production estimates that the sales team could explain to customers.
01
70% less design time
MSS reported a 70% reduction in design time using AI and automated simulation features.
02
98% proposal accuracy
The company reported 98% accuracy in proposal production estimates.
03
45% storage attach rate
MSS reported a 45% storage attach rate, compared with the 14% industry benchmark cited in the source.
What this case shows
The evidence is specific.
These lessons come from the implementation and reported results above. The source and attribution are provided below.
- 01 Choose AI work where the input, calculation, and output can all be reviewed.
- 02 Measure design time and production-estimate accuracy together.
- 03 Keep a qualified person responsible for unusual roofs and final assumptions.
- 04 Use customer options to improve the decision, not merely to add complexity.
Source and attribution
Where these claims come from.
Independent industry case study summarised by Remova Tech from Aurora Solar's published Michigan Solar Solutions customer story. Remova Tech did not deliver this project; all performance figures are attributed to the original publisher.
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