Product Recommendations Engine
Drive upsells and increase RPV with hyper-personalized product recommendations
Help customers discover products they didn’t know they needed, all while boosting revenue and building brand loyalty — thanks to Constructor’s product recommendations engine.
What We Do
Deliver 1:1 product recommendations that convert
Finally be able to intuitively understand customer intent to deliver engaging, KPI-driven recommendations. Thanks to clickstream data and advanced machine learning, Constructor Recommendations starts personalizing as soon as a user clicks or searches on your website — in support of a KPI goal you set.
When placed in the right location, Recommendations can dramatically increase your AOV and lower abandoned cart rates.

Help shoppers discover new products they’ll love
- Show the right product, like one that’s alternative or complementary, depending on where customers are in their journey
- Display products that users are most likely to convert on based on individual behaviors
- Get access to merchandiser-friendly tools to see recommendation pods, understand their performance, and optimize them
- Significantly enhance the user experience, leading to higher customer satisfaction and loyalty

You choose the recommendations strategy, we do the rest
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Tailor recommendations to appropriate locations that align well with the shopper’s journey and intent (bundles for product pages, upsells for checkout, etc.)
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Power your Recommendations strategies with 9 sets of logic that collect data on user intent and behavior
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Create searchandizing rules to determine what is shown in each type of Recommendation pod

Optimize recommendations to meet your unique KPIs
- Use data from the product recommendation engine to gain insights into customer behavior and preferences, which can help in refining recommendation strategies
- Inform each shopper’s discovery experience with data captured in Recommendations — personalizing search, browse, and more
- Increase customer retention rates and encourage repeat purchases by regularly showing recommended products
- Boost sales and user engagement by implementing strategies like showing popular products, rating-based recommendations, personalized recommendations, and frequently bought together items
Features
Get a competitive edge with Recommendations designed specifically for enterprise ecommerce
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Complementary
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Alternative
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Bundles
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Filtered
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Best Sellers
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User Featured
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Recently Viewed
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Abandoned in Cart
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Query Based
Take an in-depth look at Constructor’s search and browsing features
Learn how our AI technology complements your own merchandising expertise to save hours of time and drive revenue.
Grab your guide to learn:
- How we ensure comprehensive product discovery across your website
- How clickstream data, transformers, and LLMs improve search results
- How our Merchant Intelligence guides the A/B testing experience









Learn how Grove Collaborative saw 20.07x more overall ROI with Constructor
“What we loved about Constructor was the fact that it’s built on true glassbox AI."
Learn how Grove Collaborative saw 20.07x more overall ROI with Constructor
“What we loved about Constructor was the fact that it’s built on true glassbox AI."
Learn how Grove Collaborative saw 20.07x more overall ROI with Constructor
“What we loved about Constructor was the fact that it’s built on true glassbox AI."
Learn how Grove Collaborative saw 20.07x more overall ROI with Constructor
“What we loved about Constructor was the fact that it’s built on true glassbox AI."
Our Solution
Recommendations work seamlessly across Constructor's holistic suite of tools
Our powerful Recommendations solution is part of Constructor’s holistic suite of products that were purpose-built from the ground up to drive more revenue for enterprise ecommerce.
Recommendations is anchored on a constant user feedback loop derived from your shoppers’ unique Clickstream data, and augmented by the latest in NLP, transformers, and LLMs.


Our powerful Recommendations solution is part of Constructor’s holistic suite of products that were purpose-built from the ground up to drive more revenue for enterprise ecommerce.
Recommendations is anchored on a constant user feedback loop derived from your shoppers’ unique Clickstream data, and augmented by the latest in NLP, transformers, and LLMs.