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Blurbs comparison of RetailVR and DeepAR
Learn about how these 3D,AR,VR, & Immersive vendors stack up against each other by checking out our blurbs, claims, and case studies.
RetailVR
"Creates interactive, data-driven 3D merchandising experiences."
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Retail VR helps marketers with immersive 3D tools for creating, testing, and executing merchandising strategies. By simulating retail environments, users can visualize and adapt their strategies on the fly, ensuring informed decision-making. It integrates data analytics to optimize performance, streamline execution, and enhance overall store presentation.
innovative 3D merchandising
Retail VR claims that its 3D merchandising platform allows retailers to simulate store layouts, enhancing decision-making with data-driven insights.
scalability and adaptability
Retail VR claims that its platform is adaptable to any format, enabling the automatic generation of 3D models from photos at zero marginal cost.
data-driven performance
Retail VR claims that by connecting merchandising data, it helps businesses conduct comprehensive shopper studies, driving performance and insights.
DeepAR
"Precise AR experiences across varied platforms."
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DeepAR delivers an augmented reality SDK focusing on face and body-centric interactions. Developers can integrate virtual try-ons for glasses, shoes, and watches, apply real-time face filters, and enhance live video streaming. Its broad platform compatibility expands AR advertising and consumer engagement capabilities beyond basic web interactions.
realistic AR try-ons
DeepAR claims that its technology allows users to try on ultra realistic AR glasses, shoes, and watches inside any app or website.
engaging AR advertising
DeepAR claims that its AR advertising is highly engaging, offering web ads that customers are excited to see.
high-performance AR SDK
DeepAR claims that its SDK offers better performance than competitors, powering AR experiences for apps and websites worldwide.