Maximize eCommerce conversion & deliver smarter user experience
Vufind enables etailers to offer ai-Commerce experience and maximize conversion using deep-learning services. Vufind offers three services: vuMatch, vuGraph, and vuPredict.
vuMatch delivers visual similarity recommendations based on catalog intelligence. vuGraph delivers Interest-Graph profiling, behavioral recommendations, and likely intent. vuPredict delivers predictive analytics based on transaction and trend intelligence.
Vufind offers two solutions:
a) VuMatch: Boost engagement and maximize conversion lift with VuMatch's compelling visual similarity recommendations that capture design-patterns and the user's style preference.
b) Image Recognition for mobile and cross-channel commerce: Integrate Vufind's mobile SDK into your app. Shoppers snap photos of products they like, and Vufind Recognizes the objects and refers aspiring shoppers to your product page, enabling "showrooming" and cross-channel ai-commerce.
Vufind offers an awesome solution for inspiring shoppers to create ensembles and quickly discovering items
that give their look extra oomph. vuStyle is your AI style assistant that uses visual intelligence to match design style across categories offering "complete the look" recommendations. For example matching a dress's design style and cut with a handbag, cardigan,
and heels to help shoppers get the look they'd love.
Whether you've added social login or you'd like to mine native user activities, vuGraph personalization would boost your conversion. When a shopper interacts with your app/site, every user action and every datatype signifies persona attributes and informs likely intent. Vufind crunches these signals, including visual analytics, into predictive models to power recommendations and immersive ai-commerce experiences that delight shoppers and maximize conversion.
vuPredict: Predictive Analytics
Build predictive intelligence, contextual and temporal relevance into your ecommerce experience.
Vufind analyzes aggregate profiles, product correlations, and weekly shopping trends, to deliver actionable insights that would inform your merchandizing decisions, product catalog image mix, brands, promotions, and real-time recommendations.