
PulpoAR
Omnichannel Virtual Try-On Solutions for Beauty Retail

Description
PulpoAR provides augmented reality (AR) commerce solutions designed to reinvent the customer experience in the beauty retail sector. The platform enables customers to virtually try on various beauty products, aiming to enhance engagement and reduce purchase hesitation. Its technology supports omnichannel deployment, offering integrations for desktop web, mobile apps, mobile web, and in-store smart mirrors.
The core offerings include virtual try-on for facial makeup, hair color, and nail polish, featuring realistic simulations. PulpoAR also incorporates AI-driven skin diagnostics for personalized recommendations and provides business analytics through its Data Studio to offer insights into customer behavior and product performance. The underlying technology utilizes face and hand recognition, segmentation algorithms, accurate color transformation, and machine learning to ensure a high-fidelity virtual experience.
Key Features
- Facial Makeup Virtual Try-On: Virtually apply complete makeup looks and individual cosmetic products.
- Hair Color Virtual Try-On: Experience hyper-realistic hair color changes with high accuracy.
- Nail Polish Virtual Try-On: Try on nail polish colors instantly via web-based interface.
- AI Skin Diagnostics: Visualize skin health and receive customized recommendations using AI face mapping.
- Business Analytics Dashboard (PulpoAR Data Studio): Access data-driven insights on user engagement, sessions, and conversion metrics.
- Omnichannel Deployment: Integrate virtual try-on across desktop web, mobile apps, mobile web, smart mirrors, and social media.
- Advanced AR Technology: Utilizes face/hand tracking, segmentation, and machine learning for realism.
Use Cases
- Enhancing online beauty product discovery.
- Reducing returns by allowing pre-purchase virtual trials.
- Improving customer engagement on e-commerce sites and apps.
- Providing touchless in-store product sampling via smart mirrors.
- Analyzing customer preferences through virtual try-on data.
- Personalizing beauty product recommendations.
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