This product has emerged in a sector that is arguably the most difficult to generate online estimates for. Solar panel power output varies due to the specific characteristics of each roof, which include direction, angle, and available roof space.Once the panel layout is created for a specific roof, there is still the issue of several-thousand electric utility companies with even more rate plans to take into consideration.

Read More: SuperData Launches First-Ever XR Market Intelligence Platform

Accounting for all of these factors is extremely complex and has meant that, to date, a consumer could not find the solar savings potential of their home unless they spoke to a solar company. This is no longer necessary, as a consumer using Solar-Estimate.org can generate an accurate estimate simply by entering their address and the dollar amount of their most recent power bill. It is amazingly simple, given the complexity of the factors that need to be measured.

With the new home solar estimator, machine-learned artificial intelligence has been utilized to measure each individual roof and determine roof plane direction. An in-house-developed algorithm was then used to fill the appropriate parts of each roof with solar panels in a particular order, favoring areas that offered the most energy output potential with the least amount of shading.

The tool is groundbreaking not only for what it does for the solar industry, but the way in which it shows other AI developers how they should be bringing their technology to market. However, its near-impossible for an AI to deliver a perfect result 100% of the time.

Presenting faulty automated results to prospective customers brings down conversion rates and ultimately results in financial loss. Because of this, the integration of AI into home improvement calls to action has been nearly non-existent. Solar-Estimate.org has addressed this concern by putting a backup plan into place.

Read More: FiO Fixes Wine, Gaming and Fitness Industry Pain Points

In the event that the calculator detects a faulty automated result, the user is presented with a manual solar panel layout option instead of being given incorrect information. Nothing fails from the users point of view, and they can seamlessly continue through the rest of the estimation process.

Meanwhile, the faulty result is then passed back to Solar-Estimate.org to further train the machine learning brain via supervised learning. This continuously improves the calculators AI opening the door for greater accuracy and the possibility of additional use cases.

Solar-Estimate.orgs new Solar Panel Layout Tool is trailblazing on several fronts. Its the first online roof layout tool that incorporates machine learning. It requires less knowledge than any professional tool to use. Its also the first free tool available to consumers that takes into account roof direction and angle, determines how many panels can fit on their roof, and then generates an accurate financial estimate.

Read More: AiThority Interview with Pedro Arellano, VP of Product Marketing at Looker

Read the original post:

New Solar Estimator Shows How AI Will Transform the Home Improvement - AiThority