{"id":1003,"date":"2021-02-01T17:34:00","date_gmt":"2021-02-01T17:34:00","guid":{"rendered":"http:\/\/localhost\/2015\/07\/26\/web-based-payroll-tax-service-and-system-features\/"},"modified":"2021-02-04T13:19:54","modified_gmt":"2021-02-04T13:19:54","slug":"web-based-payroll-tax-service-and-system-features","status":"publish","type":"post","link":"http:\/\/www.cheappolicy.us\/?p=1003","title":{"rendered":"A Car Insurance Claim Estimate Before the Tow Truck Is Called"},"content":{"rendered":"<div class=\"css-1fanzo5 StoryBodyCompanionColumn\">\n<div class=\"css-53u6y8\">\n<p class=\"css-axufdj evys1bk0\">On a typical day, about 80,000 American drivers have accidents serious enough to warrant calling their insurers. After the initial shock comes to a predictable sequence of worries: Was anyone hurt? Am I at fault? The driver\u2019s first call is often to the insurance company, which leads to the next questions: How long will it take to get an estimate, get my car into the shop, and then get it back on the road?<\/p>\n<p class=\"css-axufdj evys1bk0\">The time it takes to settle auto insurance claims is being shortened, and the accuracy of initial estimates is improving because U.S. insurers now use artificial intelligence to generate repair estimates.<\/p>\n<p class=\"css-axufdj evys1bk0\">The latest technology powered by A.I. is much different from the \u201cvirtual claim\u201d you might have filed after your last fender-bender. About five years ago, photo-based estimates became increasingly common. Insurance companies sometimes had customers download an app that helped them provide consistent photos, but some insurers just told customers to attach pictures to an email.<\/p>\n<p class=\"css-axufdj evys1bk0\">Insurance companies liked photo-based estimates because appraisers who could average only four in-person estimates a day could complete as many as 15 virtual ones by staying in the office and scrolling through customer-supplied photos on a computer monitor. However, once damaged cars got into body shops, those estimates proved far less accurate than those done in person. Insurance companies were bedeviled by costs that surpassed estimates \u2014 called claim supplements \u2014 sometimes running as much as 50 percent higher. Customers were frustrated by unexpected delays. And body shops hated being caught in the middle.<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"><\/aside>\n<\/div>\n<div class=\"css-1fanzo5 StoryBodyCompanionColumn\">\n<div class=\"css-53u6y8\">\n<p class=\"css-axufdj evys1bk0\">That was then. Now, customers can download phone apps through their insurers to guide them through the process of taking and uploading photos that can be evaluated by A.I., producing a near-instantaneous damage estimate. The apps are not yet in wide use in the United States, but their time is coming.<\/p>\n<div class=\"css-16l7vy9\" data-testid=\"inline-message\" aria-live=\"polite\">\n<div>\n<p>\u00a0<\/p>\n<\/div>\n<\/div>\n<p class=\"css-axufdj evys1bk0\">The algorithms are trained in image classification, and they identify damage and hand off the claims to companies like Mitchell International, based in San Diego, that price out parts and calculate labor costs. The best algorithms already provide estimates in a few seconds that are as accurate as those produced by experienced human estimators. The pandemic has made A.I.-powered estimating even more attractive because the technology reduces or even eliminates the need for face-to-face interaction between drivers and insurance adjusters.<\/p>\n<div class=\"css-79elbk\" data-testid=\"photoviewer-wrapper\">\n<div class=\"css-z3e15g\" data-testid=\"photoviewer-wrapper-hidden\">\u00a0<\/div>\n<div class=\"css-1jc3log ehw59r12\" data-testid=\"photoviewer-children\">\n<div class=\"css-tux0zj ehw59r13\" data-testid=\"photoviewer-overlay\">\u00a0<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"css-1fanzo5 StoryBodyCompanionColumn\">\n<div class=\"css-53u6y8\">\n<p class=\"css-axufdj evys1bk0\">By eliminating the need to make appointments with appraisers or make a separate trip to the body shop for an initial estimate, these apps take days off the \u201ccycle time\u201d \u2014 how long it takes to get customers back into their cars.<\/p>\n<p class=\"css-axufdj evys1bk0\">Algorithms also learn and adapt more quickly than human experts. A simple bumper replacement is not necessarily simple anymore, because new bumpers often have expensive integrated sensors, like the ones that warn drivers if they\u2019re backing up too close to another car when parallel parking. As a result, those claim supplements are increasing.<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\">\n<div id=\"c-col-editors-picks\" class=\"css-j64t31\">\n<div id=\"pp_edpick-wrapper\">\u00a0<\/div>\n<\/div>\n<\/aside>\n<\/div>\n<div class=\"css-1fanzo5 StoryBodyCompanionColumn\">\n<div class=\"css-53u6y8\">\n<p class=\"css-axufdj evys1bk0\">One of the leaders in this \u201cinsuretech\u201d market is Tractable, a company based in London that was founded in 2014 by the entrepreneur Adrien Cohen and two computer vision experts, Alex Dalyac and Razvan Ranca. Since then, Tractable has received more than $50 million in venture capital funding and grown to over 100 employees in London, New York and Tokyo. Major insurers in Europe and Asia have used Tractable\u2019s A.I. to settle more than $1 billion in claims.<\/p>\n<p class=\"css-axufdj evys1bk0\">Mr. Dalyac joined Tractable from Imperial College London, where he had led the computing department\u2019s first industrial application of \u201cdeep learning.\u201d That\u2019s the approach the company used to train an algorithm to interpret auto damage \u2014 a task that had previously been performed only by skilled humans.<\/p>\n<p class=\"css-axufdj evys1bk0\">\u201cThese algorithms are very different to how people used to do computer vision because you actually get the algorithm to figure out the right patterns in the object,\u201d Mr. Dalyac said. \u201cInstead of telling the A.I., \u2018This is what a front bumper looks like; look for a corner like this and pixels like that,\u2019 you feed the algorithm millions of images. Some contain a front bumper and some don\u2019t. On a rainy day, a dark day, or a sunny one; an undamaged bumper; or one that needs three hours of repair. And the algorithm itself figures out the best combinations of pixel patterns that give it the most accuracy. It\u2019s kind of magical, but it\u2019s very data hungry.\u201d<\/p>\n<p class=\"css-axufdj evys1bk0\">To date, Tractable has fed its algorithm about 10 million photos of damaged cars, most of which were taken in body shops and submitted to insurers along with repair estimates.<\/p>\n<div class=\"css-1fanzo5 StoryBodyCompanionColumn\">\n<div class=\"css-53u6y8\">\n<p class=\"css-axufdj evys1bk0\">\u201cDomestic carriers have historically been slow to adopt new technology,\u201d said Jimmy Spears, an insurance industry veteran who is now Tractable\u2019s head of North American automotive operations. One hurdle this technology faces in the United States, compared with other countries, is that every state regulates its own insurance sector.<\/p>\n<p class=\"css-axufdj evys1bk0\">\u201cBut Covid-19 has had a tremendous impact,\u201d Mr. Spears said. \u201cMy days are filled with meetings and product demonstrations, and we have a number of proofs of concept in play with top-10 insurers.\u201d<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"><\/aside>\n<\/div>\n<div class=\"css-1fanzo5 StoryBodyCompanionColumn\">\n<div class=\"css-53u6y8\">\n<p class=\"css-axufdj evys1bk0\">As insurance companies have pulled their employees out of the field, the use of virtual estimates has jumped. CCC Information Services, a Chicago company that markets its own A.I.-enhanced Quick Estimate app to insurers, recently reported a 125 percent increase in app use since March \u2014 even though traffic levels and accident numbers plunged when states locked down.<\/p>\n<p class=\"css-axufdj evys1bk0\">Even before the pandemic, major U.S. carriers were exploring the use of A.I. to speed claims settlement. Liberty Mutual\u2019s in-house technology incubator, Solaria Labs, began work on an A.I. estimating algorithm in 2018. The company now uses it to give appraisers a head start on estimates.<\/p>\n<p class=\"css-axufdj evys1bk0\">USAA took a different approach. Rather than develop its own algorithm, it teamed with Google. Customers can upload photos of their damaged cars for analysis by Google Cloud\u2019s Vision API. That damage assessment is then handed off to another partner, Mitchell International, which also uses A.I. to prepare a parts and labor estimate.<\/p>\n<p class=\"css-axufdj evys1bk0\">\u201cToday, we send those estimates back to our appraisers because we\u2019re still training the system,\u201d said the company\u2019s chief claims officer, Sean Burgess. \u201cBut in the near future, you won\u2019t need that step. We\u2019re going to take the process from days or weeks to minutes.\u201d<\/p>\n<p class=\"css-axufdj evys1bk0\">That\u2019s the approach Tractable has taken, too. \u201cAs comfort with the A.I.\u2019s results is gained,\u201d Mr. Dalyac said, \u201cthis human quality check is gradually reduced and removed, and so the proportion of A.I. touchless cases increases.\u201d<\/p>\n<p class=\"css-axufdj evys1bk0\">Drivers insured by Admiral Seguro, a major Spanish auto insurer that uses Tractable\u2019s tech, can already upload photos and completely resolve some claims \u2014 right down to receiving an offer of payment \u2014 in minutes on the first phone call.<\/p>\n<p class=\"css-axufdj evys1bk0\">How soon will American drivers have access to nearly instant claim settlement? Every insurer has to make its own decision about when it is ready to drop that last human quality check, but the day will come. Tractable is confident that it will soon be operating here. \u201cWe are getting pretty close,\u201d Mr. Dalyac said. \u201cIn the next few quarters, there\u2019s going to be an announcement of a very big American carrier \u2014 a household name \u2014 that\u2019s going to be doing this.\u201d<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"><\/aside>\n<\/div>\n<div class=\"css-1fanzo5 StoryBodyCompanionColumn\">\n<div class=\"css-53u6y8\">\n<p class=\"css-axufdj evys1bk0\">Although Mr. Burgess said USAA customers would always have the option of a human estimate, it recently filed a trademark on the phrase \u201cFlash Estimate\u201d and expects to bring its own A.I. claim settlement technology to market in 2021 or 2022.<\/p>\n<p class=\"css-axufdj evys1bk0\">The rise of A.I. could be bad news for thousands of people working at insurance companies, but Mr. Dalyac bristles at the suggestion that Tractable will necessarily put those people out of work. \u201cThe goal of our technology is to take care of the repetitive, straightforward cases so they can focus on the complex ones, or on providing better customer service,\u201d he said. \u201cBecause sometimes when you\u2019ve had an accident, you\u2019re pretty shaken and want additional touch.\u201d<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>On a typical day, about 80,000 American drivers have accidents serious enough to warrant calling their insurers. After the initial shock comes to a predictable sequence of worries: Was anyone hurt? Am I at fault? The driver\u2019s first call is often to the insurance company, which leads to the next questions: How long will it [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1075,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"_links":{"self":[{"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=\/wp\/v2\/posts\/1003"}],"collection":[{"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1003"}],"version-history":[{"count":3,"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=\/wp\/v2\/posts\/1003\/revisions"}],"predecessor-version":[{"id":1076,"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=\/wp\/v2\/posts\/1003\/revisions\/1076"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=\/wp\/v2\/media\/1075"}],"wp:attachment":[{"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1003"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1003"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.cheappolicy.us\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1003"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}