{"id":13957,"date":"2024-10-25T14:34:18","date_gmt":"2024-10-25T19:34:18","guid":{"rendered":"https:\/\/solerastaging.wpengine.com\/?post_type=blog&p=13957"},"modified":"2024-10-31T15:18:53","modified_gmt":"2024-10-31T20:18:53","slug":"the-future-of-claims-processing-has-arrived-using-ai-to-drive-change","status":"publish","type":"blog","link":"https:\/\/www.solera.com\/blog\/the-future-of-claims-processing-has-arrived-using-ai-to-drive-change\/","title":{"rendered":"The Future of Claims Processing Has Arrived: Using AI to Drive Change"},"content":{"rendered":"\n

At this year\u2019s InsureTech Connect (ITC) 2024, industry professionals gathered to discuss the future of insurance and claims processing. One of the standout sessions was the fireside chat: “Claim Smarter: Leveraging AI for Precision, Speed, and Sustainability.”<\/em> Moderated by our own Bill Brower<\/a>, Senior Vice President of Global Industry Relations and North America Claims at Solera, the session featured insights from Sebastian Torres<\/a>, Owner and General manager of CARSTAR Torcam Group, part of Driven Brands.<\/p>\n\n\n\n

This conversation illuminated the real impact of AI in the automotive claims process. From improving customer experience to driving business efficiency and advancing sustainability, it\u2019s clear that AI is no longer a future prospect\u2014it’s a present reality transforming how the industry operates. <\/p>\n\n\n\n

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Here\u2019s a recap of the significant takeaways that this insightful conversation covered.<\/p>\n\n\n\n

Transforming the Automotive Customer Experience in Claims Processing<\/h2>\n\n\n\n

For decades, the collision repair claims process has been cumbersome for customers. Historically, a customer would need to make multiple visits to the shop\u2014first for an initial inspection, then to drop off the vehicle, and possibly a third time to pick it up. Naturally, this creates friction, prolongs the process, and leaves customers in a state of uncertainty.<\/p>\n\n\n\n

However, CARSTAR has implemented AI and mobile inspection technology to eliminate these pain points. Now, when a customer brings in their vehicle, a technician can use a mobile app to conduct an inspection and provide an accurate estimate on the spot by taking photos of the damage. No more waiting days for an estimate or making additional trips to the bodyshop. As Sebastian Torres put it, this change “takes the mystery out of the whole process.”<\/p>\n\n\n\n

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Of course, there still is and always needs to be a human component<\/a> to the way we do business. However, an AI-driven approach has allowed CARSTAR to offer customers clear, transparent information from the get-go, which in turn reduces stress and builds trust. The streamlined process enables customers to get answers quickly, schedule their repairs more easily, and leave the shop with a clear plan of action. <\/p>\n\n\n\n

Simply put, it\u2019s a game-changer for boosting both customer satisfaction and operational efficiency.<\/p>\n\n\n\n

Boosting Business Efficiency and Productivity<\/h2>\n\n\n\n

On that note of boosting operational efficiency, Sebastian shared how, historically, appraisals for non-drivable vehicles could take hours, tying up staff and delaying the entire workflow. This inefficiency often created bottlenecks and left technicians with less time to focus on repairs.<\/p>\n\n\n\n

By integrating the right automotive AI solutions, CARSTAR has drastically reduced the time required to process non-drivable claims\u2014from 90 minutes down to just 20. This leap in efficiency means shops can process more vehicles in a day. Technicians are more productive, and downtime is greatly reduced. In turn, this results in shorter rental periods for customers and improved profitability for the business.<\/p>\n\n\n\n

The AI estimating system also helps eliminate unnecessary steps in the process. Finally, customers can forget about having to schedule additional appointments just to review estimates. By delivering accurate estimates immediately, CARSTAR keeps the workflow moving smoothly.<\/p>\n\n\n\n

Repair Smarter, Waste Less: Driving Sustainability with AI<\/h2>\n\n\n\n

As 2025 approaches, sustainability is no longer optional \u2014 it\u2019s essential. Every year, the automotive industry produces 80 million vehicles<\/a>. That equates to 112 million tons of materials<\/a> on an annual basis. Perhaps the most troubling statistic is that the industry contributes over 10% of the world\u2019s carbon dioxide emissions<\/a>.<\/p>\n\n\n\n

Leveraging AI is about more than just optimizing operations; it\u2019s about making repairs more eco-friendly. By better identifying repair opportunities instead of defaulting to full part replacements, AI is helping CARSTAR reduce waste and minimize the environmental impact of each and every repair.<\/p>\n\n\n\n

Powered by a data-driven approach and grounded in greener operations, CARSTAR is able to significantly cut down its carbon footprint while delivering the same high-quality service customers expect. By adopting greener repair practices, CARSTAR is not only helping the planet, but also strengthening its partnerships with insurers who value sustainability.<\/p>\n\n\n\n

At a time when environmental concerns are front and center, automotive AI is helping collision repair shops like CARSTAR make decisions that positively impact both their business and the planet at large. Sustainable practices deliver more than just a competitive advantage; they demonstrate your responsibility to the industry and future generations. That\u2019s why Solera remains committed<\/a> to helping insurers and automotive companies reduce their carbon footprint, comply with regulatory standards, and enhance their sustainability credentials.<\/p>\n\n\n\n

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Key Advice for Adopting AI in Collision Repair<\/h2>\n\n\n\n

For fellow industry professionals looking to harness the power of AI, Sebastian Torres shared several valuable insights during the session:<\/p>\n\n\n\n