Recommendation Engine

A recommendation engine that recommends products to customers based on their past product interactions or that of other customers with similar interests. XStak’s recommendation engine is a cloud-based recommender system that offers a self-service workflow so that you are up and running in no time.

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Why XStak's Recommendation Engine?

Give your customers recommendations that they will love, right when they need it! With our recommendation engine, you can take advantage of real-time data and advanced algorithms to deliver tailored recommendations for your customers.

Personalized Recommendations

Our product recommendation engine is a self-service tool that provides personalized recommendations based on customers’ past purchases. You can start using it in your company today.

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Increase Conversions and Revenues

With better recommendations based on past behavior and owing to smart recommendations, you can see increased conversions on your store and drive more revenues per customer visits to your store.

Improved Customer Experience

Customers find what they would potentially like very quickly and recommendations reduce customers' time to look for similar products and products that have been bought together in the past by other customers with similar preferences.

enhanced customer experience

How it works

enhanced customer experience

Collaborative Filtering: Based on similarity of customer(their browsing or purchase behavior)

enhanced customer experience

Content Filtering: Based on similarity of the product


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Collaborative filtering is a strategy for predicting or classifying future behavior. We use this to suggest products for purchase. The prediction is based on past likes/actions and not on features of the product itself.

enhanced customer experience

You may also like

This feature allows you to recommend products that have similar tags/attributes to those products that are currently being viewed/added to the cart by a visitor.

Hot-selling products

These products are being added to cart or viewed by other visitors and you might want to pick them up.

enhanced customer experience

Case Studies

Case Study

Improving Conversion rates and ROI

Several fashion retailers, including Bonanza, Alkaram Studio and Meme , were facing difficulties in increasing their conversion rates and achieving higher revenue and higher average order value. To tackle this problem, XStak proposed a solution to these retailers that focused on enhancing customer engagement, increasing the average order value (AOV) per customer, and improving conversion rates.

XStak's Product Recommendation Engine was identified as a key tool to achieve these goals. After implementing the recommendation engine, these fashion retailers observed a significant improvement in ROI and customer engagement, leading to an overall increase in profitability per customer visit. The retailers were thrilled with the results and recognized the value of XStak's solution in driving business growth.

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The Results

261x ROI
94x ROI
Alkaram Studio
41x ROI

Boost Your Ecommerce Conversion Rates

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