Collision repair is a billion-dollar industry. When people suffer auto collisions that cause damage to their vehicles, they need a professional collision repair company to assess and repair the damage. These repair services often include front-end damage repair, front bumper repair, dent repair, frame straightening, and so on.
A good auto collision repair company uses a combination of skilled craftsmanship, years of experience, and specialized equipment to perform these tasks. However, modern collision repair companies want to ensure they are making accurate assessments, repair estimates, and more efficient repairs. That is why they are turning to artificial intelligence (AI) for assistance.
AI Damage Detection Delivers More Accuracy
Traditional auto damage detection requires an experienced technician to conduct a full visual-based inspection of the vehicle, which usually includes taking photographs of the damaged areas from different angles.
AI technology is not meant to replace the technicians assessing and repairing collision damage. Instead, it serves as a valuable assistant to the technicians by bringing more accuracy and efficiency to their work. The AI can scan the multiple photographs taken of the damage and potentially identify dents, scuffs, scratches, cracks, or other forms of damage that were not noticed by the human technician.
From the moment a damaged vehicle arrives at the collision repair center, AI will assist the technicians throughout the entire process. The technicians will use AI to make data-driven decisions by scanning photos and identifying patterns that might have been overlooked during the initial inspection. Many AI systems make comparisons to thousands of other collision repair cases to help identify these patterns.
Overall, the AI offers the following advantages to human technicians:
- Faster preliminary and final inspections
- Reduced risk of human error
- More comprehensive collision damage assessments
- More accurate and detailed documentation for insurance companies
- Early detection of minor damage
In the end, the human technicians always have the final say over the inspection and repair process. But with AI as their assistant, technicians can save time and effort while becoming more accurate and efficient at their job.
Automated Repair Estimating Saves Valuable Time
Creating repair estimates is one of the most essential tasks of any collision repair company. Potential customers expect the repair estimates to be accurate and delivered fast. After all, most customers base their decision to obtain repair services based on knowing how much they will have to pay for them. If the repair estimates are not accurate, it could upset customers and make them never want to do business with the company again.
Therefore, it is imperative for collision repair companies to provide fast and accurate repair estimates to potential customers. Part of this job requires them to identify all damaged areas, calculate labor hours & part replacement costs, review manufacturer-recommended procedures, and communicate with insurance companies.
AI is dramatically streamlining this process for collision repair companies because it can automate most of these tasks for them. The AI not only identifies all damaged areas, but it can automatically perform the cost calculations and align them with manufacturer procedural recommendations. Most AI-generated repair estimates are accurately generated within minutes rather than hours.
The human technicians are still there to verify the repair needs and communicate with customers. And if there are more complex repair situations, the technicians can manually conduct more hands-on assessments and cost calculations themselves.
Computer Vision Improves Repair Accuracy
Computer vision is one of the driving forces behind AI-powered collision repairs. Unlike traditional image recognition technology, computer vision enables AI software to assess the contents of images better. Collision repair facilities use high-resolution imaging with AI to create visual records of the damaged areas throughout every stage of the repair process. It is a procedure called damage mapping.
The benefits of using computer vision technology with AI include:
- Automating damage detection
- Real-time visual guidance
- Detecting microscopic flaws often overlooked
- Repair verification
- Accurate visual records
These records can also help resolve insurance company questions, improve transparency with customers, and provide documentation if any issues arise in the future.
Predictive Repair Workflows Increase Efficiency
One of AI’s greatest strengths is studying massive amounts of data and identifying patterns within it. Collision repair companies collect data each time they serve a customer by assessing and repairing their collision damage. Over time, this collection of data establishes predictive repair workflows that improve future repair times, productivity, scheduling, and insurance approvals for customers.
Predictive repair workflows allow collision repair companies to predict problems in the repair process before they arise. They can predict things like:
- Shipping delays for automotive parts
- Bottlenecks in the repair process
- Excessive workloads
- Scheduling conflicts
- Insurance approval timelines
Instead of waiting for these problems to occur, collision repair companies can proactively adjust their schedules and allocate the necessary resources to overcome these setbacks before they occur. This predictive capability enables them to consistently deliver repairs to customers on time and to their complete satisfaction.
Faster Insurance Approvals Benefit Everyone
Delays in the insurance claims approval process have long been one of the biggest frustrations for collision repair facilities and customers alike. Customers won’t approve the repair service without coverage approval from their insurance carrier, which means the repair shops cannot proceed without this approval.
AI simplifies the process by quickly producing accurate documentation and repair estimates for insurance companies. The insurance adjusters will receive more organized and comprehensive details about the collision, allowing them to make faster and better data-driven decisions on claims submitted to them.
AI-Based Communication Tools
Many customers can now use AI-driven communication tools to communicate with repair shops and insurance companies to streamline the approval process. The AI systems will send automatic updates to customers throughout every stage of the repair process. It will tell them when:
- The vehicle arrives at the shop
- The collision damage assessment is completed
- The insurance approves the claim
- The repairs have begun
- The repairs have finished
- The final assessment has been completed
- The vehicle is ready for pickup
AI-powered chatbots can also answer frequently asked customer questions outside of normal business hours to help customers get information faster.
Conclusion
AI is the future of automotive collision repair centers. Business owners, such as Jack Barseghian from Harry’s Auto Collision, have already begun combining advanced AI technology with the expertise of their auto technicians to create better outcomes for their customers. As AI technology continues to improve, the collision repair centers that embrace these innovations will position themselves for greater efficiency and long-term success for themselves and their customers.
