AI for Beauty & Cosmetics Retail

Redefine beauty eCommerce for both your teams and shoppers

Build detailed product data instantly

Standardize rich & accurate product data

Check guidelines compliance for images instantly

Personalize recommendations across the website

Improve accuracy & relevance for listing pages

Personalize emails and push notifications

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:

Complete the Basket- The recommendation serves different products that a shopper can buy to create a particular look.
Replenish Recommendations - The recommendation serves products that shoppers buy periodically - to refill supplies.

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:

All products are in stock for the shopper to purchase.
They match even the shopper's last interaction on the site - in the case they are browsing before checking their mail.

AI capabilities for electronics eCommerce growth

Rich Product & Customer Data

The AI extracts and enhances product data that can then be mapped to shopper profiles, based on their site behavior, for highly personalized experiences.

Image Recognition

Vue.ai uses computer vision and image recognition to detect, map, and identify visual attributes from product photos.

Natural Language Processing

The NLP algorithms extract and enhance the textual information given by retailers and uses it to enrich catalog product data.

Data Extraction & Prediction

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.

Product Content Generation

Vue.ai generates product tags, titles, and descriptions from the extracted data.

Dynamic 1:1 Personalization

Vue.ai alters content real-time, to match every single shopper’s preferences and intent through their journey on the site.

Journey Experience Management

The platform allows for a straightforward way of creating, testing, and measuring personalized experiences across different touchpoints.

Customizable AI

The AI algorithms can be trained and customized for different retail strategies based on every business’ goals and priorities.

Selvin Kumar,

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.

Kishore Mardikar,

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.