Boost growth with personalized product recommendations’s product recommendation engine brings together product data, shopper profiles, and the unique context of each business for personalized recommendations that boost retail growth.

Trusted by over 150+ retailers across the globe

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Drive engagement with’s personalized product recommendation engine’s product recommendation engine can provide personalized recommendations for every shopper across their journey on an eCommerce site. It helps shoppers view contextually relevant products based on shoppers’ preferences and current session intent, improving shopper engagement, and conversions. Retailers can build their own recommendation strategy or pick from’s library of presets optimized for different business goals.

Powerful capabilities for personalized product recommendations at scale

Recommendation Strategies

The platform enables you to deploy a variety of product recommendation strategies to improve shopper engagement and conversion.

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.

Dynamic 1:1 Personalization’s personalized product recommendation engine alters content in real-time, to match every single shopper’s preferences and intent.

Customizable AI

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

Omnichannel Personalization’s product recommendations can be deployed across shopper touchpoints through channels like the website, app, mail, and notifications.

Journey Experience Management

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

A/B Testing

The dashboard has a easy, quick way to design and run statistically significant A/B tests across the site and other shopper touchpoints.

Audience Segmentation

The platform allows segmentation of shoppers based on behavior, intent, demographics, and psychographics - and automatically adds new visitors to the relevant segments.

Business Impact Dashboard

The dashboard measures an exhaustive range of KPIs including directly attributable revenue, revenue per user, and more.

Fallback Strategy

The AI automatically defaults to content or traffic based recommendations when there isn't enough data to power dynamic recommendations for specific items. AI-Powered Personalization Platform is a single platform retailers can use to create personalized shopper journeys within and outside their site.

Image of the dashboard

Dynamic 1:1 personalization

One platform. Everything you need.

Enhances & generates data

Make the AI your own

AI enabled decision making

Recommendations designed for direct business impact

Trending Products
Top Picks for You
Similar Recommendations
Styling Recommendations
Complete the Basket
Brand Recommendations
Refill Recommendations
An example of the trending products recommendation
Top selling products that can be personalized to show the most relevant products for each user.Placement: Homepage or EmailsBusiness Impact: With the 'Trending Products' recommendation strategy, a premium lifestyle brand saw a 2.8x increase in conversion rate.
An example of the top picks for you recommendation
Products in the catalog that match the shopper’s preferences and current session intent the best. Placement: Homepage, Listing Pages, Cart Pages and EmailBusiness Impact: With the 'Top Picks for You' recommendation type, a marketplace saw 11x higher product views per customer visit.
An example of similar recommendations
Products that are similar to the product that a shopper is looking at.Placement: Product Pages or Cart PagesBusiness Impact: A leading luxury brand was able to directly attribute 7% of their revenue to the ‘Similar Recommendations’ widget.
An example of styling recommendations
Personalized outfit options based on different themes and occasions for fashion eCommerce.Placement: Product Pages, Category Pages, Cart Pages or EmailsBusiness Impact: Using 'Styling Recommendations', a premium lifestyle brand saw 70% higher AOV than sitewide average.
An example of the complete the basket recommendation
Products that are complementary to the product the shopper has chosen.Placement: Product Pages, Cart Pages, or EmailsBusiness Impact: With the ‘Complete The Basket’ recommendation, retailers have seen an increase in basket size and return visits.
An example of brand recommendations
Products from a particular brand, used to promote in-house or high-value brands. Placement: Homepage, Product Pages, or EmailsBusiness Impact: With the ‘Brand Recommendations’ widget, a leading Indian marketplace saw a 4% increase in sitewide revenue.
An example of refill recommendations
Products that shoppers buy periodically - to refill supplies.Placement: Homepage, Cart Pages, or EmailsBusiness Impact: With the 'Refill Recommendations' widget, retailers have seen an increase in return visits and customer loyalty.

Impact of’s product recommendations

in Directly Attributable Revenue
increase in Average Order Value
increase in Conversions
increase in Engagement’s personalization engine integrates with

and many more eCommerce platforms

Why choose’s product recommendations

Product Intelligence with AI

Product Intelligence

1:1 personalized


 Dynamic Personalization


 Customizable AI


 Built for Retail

Built for

 Easy Integration


Kishore Mardikar

Kishore Mardikar


We worked with to introduce the recommendation component on our homepage and they are very clearly one of the 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.

Santiago Valdes, Co-founder, Vestua

Santiago Valdes,

Co-founder, Vestua

In resale today, scale equals technology, and we’re really seeing the impact of leveraging recommendations with 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.

Selvin Kumar, Growth Hacker,

Selvin Kumar,

Growth Hacker

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.’s recommendations became a game changer for Namshi in terms of engagement, touch points and conversions.

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

Request a free demo

Personalized product recommendation engine.

Custom demos typically last for 30 minutes. In this time, you can expect to:

  1. Get an in-depth understanding of the personalized product recommendation engine.
  2. Understand how other retailers are using the solution to achieve their business goals.
  3. Discuss your unique needs and challenges.

One of our experts will get in touch with you on your work email. Rest assured, we respect your privacy.

Learn how retailers have been using’s personalization solution to see business growth.


3 Reasons Retailers See ROI with’s Personalization Solution

Find out the story of how a leading marketplace saw a 32% increase in click-through rate and more with personalized recommendations.


Middle East Marketplace
Powers Growth with Personalization

When shoppers buy more products, revenue increases. Learn how styling recommendations can be applied to improve eCommerce revenue.


How Styling Recommendations
Can Help Increase Revenue


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