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Vue.ai allows every retailer to customize AI personalization models to work best for their business. The systems build nuanced shopper profiles for every shopper by learning from their actions and affinities towards brands, prices, features etc 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.
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:
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
We worked with Vue.ai to introduce the recommendation component on our homepage and there are positive benefits. 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.
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The retailer is a part of one of India’s largest multinational conglomerate holding with products across various verticals.
They are a leading multi brand-based marketplace in Asia with a focus on lifestyle and electronic products. The customer’s shopper base consists of people who are looking for specific products to suit their needs. They are keen to discover brands and find products that are relevant.
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