While artificial intelligence (AI) is transforming the automotive industry as it moves — carefully — toward self-driving vehicles, AI is also being used for diagnostics and predictive maintenance. And more.
Take, for example, Volkswagen that has adopted AI for predictive maintenance, enhancing vehicle reliability and customer satisfaction. GM, too: through its AI-powered platform, GM integrates predictive analytics to improve vehicle diagnostics, maintenance schedules, and production planning.
But AI still has a way to go and are is more likely to enhance the skills of a technician rather than replace them. It’s a tool, not a magic wand. Yet.
Similarly, it is also true for shop management: AI can improve efficiency and streamline operations. Here are just a few ways AI can assist repair shops outside of service bays:
AI and claims processing
The COVID-19 pandemic accelerated the adoption of virtual inspections and the use of photos for claims processing; auto shops and insurance companies were already moving in the AI direction before the pandemic.
Prior to 2020, insurers were starting to use technology like AI and machine learning for policy pricing. Auto shops, particularly for auto claims, were already using mobile applications and photo submissions.
Today’s technology significantly increased the use of virtual claims handling, leading to a swift transition for insurers who had it on their long-term roadmap. This shift provided potential advantages like reduced costs associated with in-person inspections, improved customer satisfaction and faster processing times. Using images allows adjusters to manage more claims per day compared to field visits.
AI isn’t about replacing workers but rather augmenting their skills and enhancing the overall auto repair process. While there are challenges to consider, embracing these advancements can lead to increased efficiency, improved accuracy, and better customer experience, setting shops up for success in the evolving automotive landscape.