Bring the in-store beauty shopping experience online.
Our AI understands your catalog in depth and powers unique experiences based on every shopper’s beauty tastes & preferences.
Trusted by over 150+ retailers across the globe
Vue.ai allows every retailer to customize AI personalization models to work best for their business. The systems build nuanced beauty profiles for every shopper by learning from their actions on the site and mapping it to rich product data. Using this, the AI finds, and brings to the surface through the shopping journey, the products in the catalog that the shopper would most likely purchase.
Vue.ai’s tagging solution automatically extracts and creates comprehensive and accurate tags from images and any unstructured text. This enriched data is then used to power everything on the site - from the search to recommendations.
Vue.ai’s solution enriches the product data with domain-specific taxonomy. The AI can be trained on custom ontology to support new categories while managing existing tags to follow the brand language and improve product discovery.
Vue.ai's image moderation solution helps eCommerce marketplaces automate the assessment of product photos submitted by sellers or users to ensure they match their website guidelines. The solution works instantly and at scale for large volumes of images.
Vue.ai’s personalization solution provides recommendations in real-time based on each individual shopper’s activity on the site. These recommendations can be deployed across the site from the homepage to the cart page.
Recommendation curated especially for beauty & cosmetics websites:
Vue.ai’s uses rich product and shopper data to make category pages & search results accurate and personalized for every shopper - increasing conversions and reducing bounce rate.
The AI delivers relevant and personalized content to shoppers on their mails by unifying the 360-degree shopper profiles of every shopper with detailed product data. We integrate with all major email marketing platforms.
The recommendations are generated at the point of the mail being open to ensure:
The AI extracts and enhances product data that can then be mapped to shopper profiles, based on their site behavior, for highly personalized experiences.
Vue.ai uses computer vision and image recognition to detect, map, and identify visual attributes from product photos.
The NLP algorithms extract and enhance the textual information given by retailers and uses it to enrich catalog product data.
The algorithms are trained to extract data from multiple sources and predict data when there is no information available using computer vision, NLP, and historical data.
Vue.ai generates product tags, titles, and descriptions from the extracted data.
Vue.ai alters content real-time, to match every single shopper’s preferences and intent through their journey on the site.
The platform allows for a straightforward way of creating, testing, and measuring personalized experiences across different touchpoints.
The AI algorithms can be trained and customized for different retail strategies based on every business’ goals and priorities.
Growth Hacker, Namshi
We partnered with MSD and introduced elements like similar products & recently viewed items. It created a huge impact for us in terms of engagement. The majority of users had a touch point and eventually placed an order. Vue.ai’s recommendations became a game changer for Namshi in terms of engagement, touch points and conversions.
CMO, Tata Cliq
We worked with Vue.ai to introduce the recommendation component on our homepage and they are very clearly one of the positive benefits. What we found is the ability to showcase products that are closer to what the customer wants and build a bit of relevance with the customers. The recommendations component actually has given us the ability to move the traffic more towards the category pages and has improved the performance of the homepages.
One of our experts will get in touch with you on your work email. privacy.Rest assured, we respect your
Your best source for all things AI & retail
News, ideas and updates for all your retail teams