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Turn More Searches into Sales with Personalised Product Recommendations

Constructor’s product recommendations engine uniquely learns from user clickstream data to support revenue goals, deliver unmatched KPI optimisation and fast ROI for enterprise retail brands — while giving customers a personalised, enjoyable shopping experience. 

Constructor is recognised as a Strong Performer in the Forrester Wave™ for Commerce Search and Product Discovery, Q3 2023 and as a Visionary in the Gartner® Magic Quadrant™ for Search and Product Discovery.

 Prove tangible ROI in 10-14 days
 98% customer retention rate
 Non-intrusive implementation and setup
 92% willingness to recommend *Gartner Voice of Customer
 Find gaps in site search you can address immediately

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Our powerful Product 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 e-commerce.


Product Recommendations engine 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.

That’s why we’ve never lost an A/B test when it comes to helping enterprise e-commerce customers hit their most critical KPIs. 

Unlike legacy recommendation engines, Constructor prioritises product attractiveness over popularity

CAPABILITIES

Attractive Recommendations@2x

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 behaviour.

  • Get access to merchandiser-friendly tools to see recommendation pods, understand their performance, and optimise them.

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Optimized Placement@2x-1

You choose the recommendations strategy, we do the rest

  • Constructor automatically places Recommendations where your shoppers are likely to interact.

  • Power your Recommendations strategies with 9 sets of logic that collect data on user intent and behaviour.

  • Create searchandising rules to determine what is shown in each type of Recommendation pod.

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Tailor to Your KPIs@2x-1

Optimise recommendations to meet your unique KPIs

  • Data captured in Recommendations informs each shopper’s discovery experience — personalising search, browse, and much more (and vice versa).

  • Increase customer retention rates and encourage repeat purchases by regularly showing recommended products.

  • Increase revenue and AOV by tailoring recommendations to their site location. Bundles for product pages, upsells for checkout, and more.

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Features

Get a competitive edge with product recommendations designed specifically for the enterprise

  • Complementary
  • Alternative
  • Bundles
  • Filtered
  • Best Sellers
  • User Featured
  • Recently Viewed
  • Abandoned in Cart
  • Query Based

Ditch legacy keyword engines and vector-centric platforms, and hit your revenue goals faster

Say goodbye to:

  • Zero-results searches
  • Shoppers rage-quitting your site
  • Labor-intensive synonym and redirect setup (plus hours manually boosting and slotting items)
  • Reformulated & frustrated searches
  • Lost sales opportunities and negative impact on customer lifetime value

Constructor:

  • Hyper-personalised product recommendations driven by real-time, onsite shopping behaviour
  • AI-driven product recommendations optimised for the business KPIs that you define
  • Search learnings inform holistic discovery across your entire site
  • Advanced searchandising functionality and merchandising dashboard off the shelf
  • The only AI-first e-commerce product discovery solution specialising in enterprise commerce

Say goodbye to:

Constructor:

Zero-results searches
Hyper-personalised product recommendations driven by real-time, onsite shopping behaviour
Shoppers rage-quitting your site
AI-driven product recommendations optimised for the business KPIs that you define
Labor-intensive synonym and redirect setup (plus hours manually boosting and slotting items)
Search learnings inform holistic discovery across your entire site
Reformulated & frustrated searches
Advanced searchandising functionality and merchandising dashboard off the shelf
Lost sales opportunities and negative impact on customer lifetime value
The only AI-first e-commerce product discovery solution specialising in enterprise commerce
Customer Stories
grove
Paul Hornby
grove
Paul Hornby
grove
Paul Hornby
grove
Paul Hornby

Learn how Grove Collaborative saw 20.07x more overall ROI with Constructor

“Our Recommendations pods were old and rigid. We had no way of updating the algorithms, and testing or swapping them out on any given page was a heavy engineering lift. Constructor Recommendations enable us to play around with different strategies to maximise click-through and add-to-cart rates on a per-page basis”
Rebecca Carpenter
Senior Product Manager, Grove Collaborative
Book a Demo

“What we loved about Constructor was the fact that it’s built on true glassbox AI."

“Constructor's AI will merchandise our product catalog and our product categories for us, and will do it in a way that helps us to understand why it’s made the choices it's made, gives our human beings the opportunity to intervene when we think there’s a real need, all while creating an ecosystem where we can work with Constructor to challenge the algorithm and continue to tweak and evolve it.”
Paul Hornby
Digital Customer Experience Director, The Very Group
Book a Demo

Learn how Grove Collaborative saw 20.07x more overall ROI with Constructor

“Our Recommendations pods were old and rigid. We had no way of updating the algorithms, and testing or swapping them out on any given page was a heavy engineering lift. Constructor Recommendations enable us to play around with different strategies to maximise click-through and add-to-cart rates on a per-page basis”
Rebecca Carpenter
Senior Product Manager, Grove Collaborative
Book a Demo

“What we loved about Constructor was the fact that it’s built on true glassbox AI."

“Constructor's AI will merchandise our product catalog and our product categories for us, and will do it in a way that helps us to understand why it’s made the choices it's made, gives our human beings the opportunity to intervene when we think there’s a real need, all while creating an ecosystem where we can work with Constructor to challenge the algorithm and continue to tweak and evolve it.”
Paul Hornby
Digital Customer Experience Director, The Very Group
Book a Demo

Learn how Grove Collaborative saw 20.07x more overall ROI with Constructor

“Our Recommendations pods were old and rigid. We had no way of updating the algorithms, and testing or swapping them out on any given page was a heavy engineering lift. Constructor Recommendations enable us to play around with different strategies to maximise click-through and add-to-cart rates on a per-page basis”
Rebecca Carpenter
Senior Product Manager, Grove Collaborative
Book a Demo

“What we loved about Constructor was the fact that it’s built on true glassbox AI."

“Constructor's AI will merchandise our product catalog and our product categories for us, and will do it in a way that helps us to understand why it’s made the choices it's made, gives our human beings the opportunity to intervene when we think there’s a real need, all while creating an ecosystem where we can work with Constructor to challenge the algorithm and continue to tweak and evolve it.”
Paul Hornby
Digital Customer Experience Director, The Very Group
Book a Demo

Learn how Grove Collaborative saw 20.07x more overall ROI with Constructor

“Our Recommendations pods were old and rigid. We had no way of updating the algorithms, and testing or swapping them out on any given page was a heavy engineering lift. Constructor Recommendations enable us to play around with different strategies to maximise click-through and add-to-cart rates on a per-page basis”
Rebecca Carpenter
Senior Product Manager, Grove Collaborative
Book a Demo

“What we loved about Constructor was the fact that it’s built on true glassbox AI."

“Constructor's AI will merchandise our product catalog and our product categories for us, and will do it in a way that helps us to understand why it’s made the choices it's made, gives our human beings the opportunity to intervene when we think there’s a real need, all while creating an ecosystem where we can work with Constructor to challenge the algorithm and continue to tweak and evolve it.”
Paul Hornby
Digital Customer Experience Director, The Very Group
Book a Demo
+9 %
Search Revenue
+13 %
Search Revenue
+15 %
Revenue per user
+5 %
Revenue per visit
+$40 M
Revenue
+A$13 M
Revenue
20.07 X
Overall ROI
+9 %
Search Revenue
+13 %
Search Revenue
+15 %
Revenue per user
+5 %
Revenue per visit
+$40 M
Revenue
+A$13 M
Revenue
20.07 X
Overall ROI
+9 %
Search Revenue
+13 %
Search Revenue
+15 %
Revenue per user
+5 %
Revenue per visit
+$40 M
Revenue
+A$13 M
Revenue
20.07 X
Overall ROI
+9 %
Search Revenue
+13 %
Search Revenue
+15 %
Revenue per user
+5 %
Revenue per visit
+$40 M
Revenue
+A$13 M
Revenue
20.07 X
Overall ROI

We help enterprise e-commerce brands get ahead, and stay ahead.

Constructor’s product recommendations engine was built by data scientists and engineers who wanted to create an advanced shopping experience that accurately displays the most attractive products to every individual.

Test our platform risk-free and see how we can prove tangible ROI in 10-14 days.