vviinn

Vviinn is a visual product recommendation solution developed by Mediaopt GmbH. According to the vendor, it utilizes machine learning and image recognition technology to analyze product images and create personalized shopping experiences for users. The product aims to increase conversions, boost purchase decisions, and improve customer loyalty. It is positioned as suitable for companies of all sizes, from small businesses to large enterprises. The target users include e-commerce managers, multi-channel managers, online retailers, marketing managers, and merchandisers across various industries.

Visual Relevance Machine: According to the vendor, Vviinn's Visual Relevance Machine uses machine learning and image analysis to analyze product images in real-time. It aims to accurately identify stylistic features and preferences, providing personalized shopping experiences and potentially increasing engagement, conversions, and customer satisfaction.

Curate: The vendor claims that Vviinn's Curate feature allows users to guide their customers to the right products quickly. By recognizing stylistic features faster and more accurately than other solutions, it aims to save users time and potentially increase conversion rates. The feature is intended to help online shops become style experts and potentially gain a competitive edge.

Personalize: According to the vendor, Vviinn's Personalize feature enables the identification of user preferences without tracking personal data. It aims to create intuitive shopping experiences based on real-time visual recognition of user intent. The vendor suggests that this feature may increase average order values and potentially provide faster return on investment.

Convert: The vendor claims that Vviinn's Convert feature aims to optimize conversion rates and inventory turnover ratios. It aims to prevent users from being directed to irrelevant product landing pages, potentially reducing bounce rates. The image-based AI technology is intended to increase product traffic conversion and inventory turnover, enhancing product-oriented marketing channels and improving understanding of user preferences.

Automate: According to the vendor, Vviinn's Automate feature aims to help users achieve maximum results with incomplete product data. It eliminates the need for perfect item data by using image analysis to optimize product displays. The vendor suggests that the AI technology automatically generates missing information based on visual characteristics, potentially saving time and effort in preparing product data and enhancing the filtering and campaign creation processes.