Damage Detection for Storm Season

Why AI and Damage Detection Matters to Roofers [Updated February, 2021]

The roofing industry is changing. Property owners demand quick, excellent service. Insurance carriers want ever-higher-quality roof information. It’s tougher than ever to find laborers, social distancing is in, and a changing climate means unpredictable weather and stronger storms are on the horizon.

To tackle demands and amplify service, roofing companies are adopting cutting-edge technologies like artificial intelligence (AI) to give them better insight and to automate portions of their sales process. One of the most common uses of AI among roofers is the automated damage detection baked into certain kinds of drone inspection software.

Automated damage detection uses AI and deep learning tools to analyze roof inspection imagery in order to highlight hail hits, missing shingles, and other kinds of damage.

For a roofing estimator, a sales process that includes damage detection will typically look like this:

  1. Estimator gathers imagery using a smart device or automated drone powered by drone inspection software.
  2. All images are transferred into an app, where AI tools find and highlight damage automatically.
  3. Estimator reviews highlighted damage inside the app, double checks damage points, and adds relevant imagery to reports with a few clicks.
  4. Using a 3D model and dynamic measurements, the estimator prepares an estimate including damage imagery and cost information.
  5. Estimator delivers a thorough package of information, costs, and imagery to the property owner or carrier.

The results are real. Not only are roofing companies saving time using automated damage detection, many insurance carriers are using damage detection internally to settle roof damage claims.

If you’d like to learn more about how damage detection can impact your win rates and amplify the experience for your customers, please reach out.


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