![]() ![]() “We needed to bring that physical machine to the cloud and keep the power needed to serve high-quality content,” says de Bodinat. Using Amazon EC2 G4 Instances, ZeroLight can offer its vehicle configurator to end users on their own devices. In an increasingly remote world, customers want to benefit from quality wherever they are, and three-quarters of the car buyer’s journey happens online. Before, that meant being tethered to a high-end physical computer, confining the company to working with dealerships. ZeroLight needs a lot of power to provide that level of graphical output and real-time computation. These feature world-first volumetric-video environments brought to Lucid by ZeroLight and the AWS team, which are enhanced by another world first: real-time, cloud-rendered ray tracing, a technique that realistically re-creates the way light interacts with physical objects-enabled by NVIDIA GPUs, which power the Amazon EC2 G4 Instances. Each session is assigned a dedicated EC2 instance, enabling Lucid to deliver immersive, 360-degree visualizations. When visitors reach the Lucid website, AWS needs just 5 seconds to find their location across the United States, Europe, or the United Arab Emirates trigger the engine on ZeroLight begin 3D streaming and deliver the first live image. ![]() Shoppers can configure the car to meet their preferences using ZeroLight’s Palette+, powered by Amazon EC2 G4 Instances. And they know me,’” says Thomas Orenz, director of digital interactive marketing for Lucid Motors. “We want to make the customer the center of the sales process-not to feel like ‘I’m buying a Lucid,’ but to feel like ‘That’s my Lucid. ![]() That personalized model informs every part of the customer journey from advertising to conversion, optimizing online retail advertising for automakers and better engaging with car shoppers: the goal is for every email, webpage, and ad they see to reflect their personalized car model rather than a generic car. Using a digital twin model created with computer-aided design data from the car’s production, ZeroLight shows shoppers a photo-realistic rendering customized to their specifications. “We’re moving away from a linear buying funnel-where we take a customer from an advert to a website to a dealer-to a circular, more flexible journey where the customer chooses what they want to do,” explains Francois de Bodinat, chief product officer at ZeroLight. Those G4 Instances were key to the success of the Lucid Air’s September 2020 online launch, which was moved online because of the COVID-19 pandemic.įormed in 2014, ZeroLight works to fully integrate online and in-person car shopping. They are the industry’s most cost-effective and versatile GPU instances for graphics-intensive applications such as remote graphics workstations and graphics rendering. ![]() ZeroLight implemented Amazon Elastic Compute Cloud (Amazon EC2) G4 Instances powered by NVIDIA T4 Tensor Core GPUs. To offer customers a seamless experience, ZeroLight needs readily accessible compute power-so it turned to Amazon Web Services (AWS), which offers globally available GPU instances, low-latency content-delivery tools, and a large selection of advanced artificial intelligence services to help marketers find and engage with customers. In 2020, nascent luxury electric carmaker Lucid Motors enlisted ZeroLight to differentiate itself ahead of the launch of its flagship vehicle, the Lucid Air sedan. SpotLight users create personalized sales materials with visual content production informed by the car models that shoppers build with ZeroLight’s Palette and Palette+ configurators. In reaction, automotive visualization software specialist ZeroLight offers SpotLight Suite, a cloud-based platform that brands, agencies, and dealers use to customize sales and marketing to each shopper. Even before the COVID-19 pandemic temporarily closed dealerships worldwide, the average car-shopping experience was trending from traditional showrooms to the internet: the average number of times a car buyer visits a dealership before a purchase has dropped from 7 to 1.5 in the past decade. ![]()
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