Vue.ai’s personalization platform VueCommerce uses AI to build shopper profiles for each shopper which are then mapped to detailed catalog data to surface the most relevant products for them throughout their shopper journey.
Trusted by over 150+ retailers across the globe
VueCommerce allows every retailer to customize AI personalization models to work best for their business. The AI builds personalized experiences for every shopper across their journey on an eCommerce site. It helps shoppers view contextually relevant products based on their preferences and current session intent, improving shopper engagement and conversions. Retailers can build their own personalization strategy or pick from Vue.ai’s library of presets optimized for different business goals.
You can learn more about Vue.ai’s product recommendations here. »
You can learn more about Vue.ai’s personalized listing page solution here. »
You can learn more about Vue.ai’s omnichannel solution here. »
Vue.ai is a single platform retailers can use to create personalized shopper journeys within and outside their site.
Karen Bruck,
VP Marketplace
When it comes to product discovery on an eCommerce platform, everything from our search algorithm and recommendations to what we send on our email and push notifications is important. That is why we are partnering with Vue.ai, to push the bar and introduce world standards to our platform.
“Amazing product with
amazing support”
It is very easy to work with them. They are very supportive of changes, new features, and give you insights. They have been there when we needed them; in tough times during COVID they were highly supportive and helpful. They are always reaching out to see if we are ok and need more help. The product works amazingly well in giving recommendations and the API for email as well.
Santiago V, Cofounder, Vestua
Chris Homer,
Co-Founder & CTO
“Vue.ai’s technology powers personalisation - Customers fill out a style profile, tell us what they like and upload mood boards from Pinterest. Then, combining Vue.ai’s technology plus our own stylists in the loop, we curate a box for them. Customers receive 10-12 items, try them and return what doesn’t work. It gives our customers convenience, freedom, privacy, flexibility and we found Vue.ai to be a very powerful addition to the platform.”
A great recommendation engine that can curate to your business needs. They are evolving to create more solutions that are helping us provide relevant product recommendations to our customers across different customer touchpoints. We are trying to create a better customer experience by automating product recommendations across the funnel. Since the integrations, we have seen an uplift in our conversion rate and AOV across the business.
Ankit B, Head Of Digital
Shoji Kimura,
CFO
With Vue.ai’s Personalization Suite, we saw 8x the engagement from users who had interacted with Vue.ai, compared to those who didn’t. The average basket size per order via recommendations was 40% larger than that of non-engaged users. The Vue.ai team has also been really prompt with suggestions for constantly improving results.
Santiago Valdes,
Co-founder, Vestua
In resale today, scale equals technology, and we’re really seeing the impact of leveraging recommendations with Vue.ai. Given that with resale you have unique, one of a kind items, its frustrating when there’s no second piece of an item. This is when recommendations can help with the closest style, size etc.
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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Learn how retailers have been using Vue.ai’s personalization solution to see business growth.
READ BLOG POST »3 Reasons Retailers See ROI with
Vue.ai’s Personalization Solution
Purple Style Labs achieved a 26.3% increase in user engagement rate with dynamic personalization.
Read Case Study »Premium Marketplace Personalizes Digital Luxury
When shoppers buy more products, revenue increases. Learn how styling recommendations can be applied to improve eCommerce revenue.
READ BLOG POST »How Styling Recommendations
Can Help Increase Revenue
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