Technological advances in the collision repair industry are an ongoing challenge; however, when utilized properly, many of these advances, such as artificial intelligence (AI), can be a huge benefit during the repair process.
Advances, such as Tractable, help develop AI for accident and disaster recovery.
“Tractable’s market-leading tools use photos to automate damage appraisal—allowing partners to improve accuracy, reduce turnaround time and deliver a revamped customer experience,” said Ahmed Zifzaf, senior partnerships and marketing manager at Tractable. “One of Tractable’s AI tools is their ‘review product,’ which helps automate estimate desk reviews, by comparing the photos of a collision with the estimate that was written.”
Although it’s common knowledge that AI photo-analysis solutions are increasingly being marketed across the industry and promise to lead to major changes in the repair process, it isn’t always clear how well these solutions work. While it may seem daunting to determine how well an AI photo system works, Tractable’s educational video shares three simple steps collision facilities can use to test such solutions. The first step is to obtain a set of photos the AI has never seen. Secondly, upload the photos on the spot to the AI system and lastly, evaluate the results yourself.
Tractable’s AI tool generates estimates of repair or replace decisions and a likely range of labor hours, based on the uploaded photos. During a demonstration earlier this year, Alex Dalyac, Tractable CEO, noted that the range is meant to address the “notoriously ambiguous task” of determining labor hours since experts will estimate different labor times for the same procedure. Users can configure their AI tool to specify the number of hours for a certain function.
“Our AI can predict bodywork, R&I and paint time,” said Zifzaf. “In general, these need to be adjusted to the client as opinion times vary greatly across North America (e.g. based on the type of insurer, repair facility, etc.). In the demo, our AI outputs a range of hours instead of specific hours, but in production, we calibrate to the particular client or market area.”