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Automated Claim Assessment

inspektlabs insurance claims solution

6 Advantages of Insurance Claims Automation | Inspektlabs

Automating the claims settlement process is prudent for all insurers and businesses. There's little doubt that these technologies will become the norm—automation benefits not only companies and insurers but also customers.

How is Claims Tech Disrupting the Claim Settlement Process? | Inspektlabs

How is Claims Tech Disrupting the Claim Settlement Process? | Inspektlabs

Insurers can map out the customer journey and make more informed decisions. They can also leverage their existing customer data to maximize the benefits of auto insurance claim automation.

Claims Automation Inspektlabs

The Impact of Claims Automation in the Automotive Industry | Inspektlabs

AI-powered claims automation is becoming an integral part of the insurance industry. This technology can help improve customer service and claims processing while reducing costs.

Insurance Repair Estimation

How Can AI-based Solutions Automate Repair Estimation For Insurers? | Inspektlabs

There are millions of auto claims filed in the U.S. annually. Insurance companies can reduce the time and cost associated with the claims process by leveraging AI for repair estimation.

Part Identification inspektlabs

Part Identification Using AI: Methodology and Approach for High Accuracy | Inspektlabs

It is vital to understand how part identification functions since AI damage inspections would not be possible without it. As with any other technology, car part identification is bound to improve over time.

Glass Damage Detection Inspektlabs

Real-Time Glass Damage Detection Using Edge Computing | Inspektlabs

The use of automated damage detection and cost estimation techniques can reduce both the amount of time and money spent on the insurance survey. This is where real-time edge detection comes into the picture.

odometer reading car inspections

Odometer reading automation using Computer Vision | Inspektlabs

Again, we can use existing tools like the Tesseract or Attention OCR, but training our own model that’s designed specifically to detect digits in seven-segment displays is bound to perform better.