Shaped for
Marketplaces
Help every shopper find what they need, and what they didn’t know they needed.
Boost discovery, conversion, and average order value with personalized recommendations across the buyer journey.
Increase your basket size by recommending complementary and high-margin products. Shaped can promote add-ons, bundles, or related items that enhance the main purchase, driving more value per transaction.
Combine personalized ranking with keyword search to help users find what they’re looking for and discover items they didn’t know they needed. Shaped adapts to user behavior to serve relevant, high-converting results.
Turn new users or listings into revenue. Shaped leverages similarity algorithms, dynamic re-ranking, and exploration strategies to recommend the right products even with limited data.
Surface relevant, high-likelihood items right in the cart. Whether it's insurance, accessories, or popular bundles, Shaped helps maximize value per checkout without slowing down the purchase flow.
Experiment freely with varying use cases, models, and objectives.
Popular, trending, or chronological product rankings
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Boost AOV with smart cart upsell and cross-sell
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Dynamic feeds for personalized product discovery
Combine keyword and personalized results for better product discovery
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Show similar items on PDPs to retain interest
Build personalized product feeds for ecommerce growth
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Recommend relevant products for new or anonymous users
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Promote specific products in personalized search or feeds
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Enable product discovery via chat or virtual assistants
Re-rank product categories based on user behavior
Deliver product recommendations through tailored email campaigns
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Suggest relevant items under product listings or carts
Rank items based on real-time user intent signals
Notify users when desired items return or go on sale
Suggest complementary items as ready-to-buy sets
Recommend follow-up items based on purchase history
Prioritize products based on regional popularity or availability
Prioritize products based on regional popularity or availability
Recommend follow-up items based on purchase history
Suggest complementary items as ready-to-buy sets
Notify users when desired items return or go on sale
Rank items based on real-time user intent signals
Suggest relevant items under product listings or carts
Deliver product recommendations through tailored email campaigns
Re-rank product categories based on user behavior
Enable product discovery via chat or virtual assistants
Promote specific products in personalized search or feeds
Recommend relevant products for new or anonymous users
Build personalized product feeds for ecommerce growth
Show similar items on PDPs to retain interest
Combine keyword and personalized results for better product discovery
Dynamic feeds for personalized product discovery
Boost AOV with smart cart upsell and cross-sell
Popular, trending, or chronological product rankings
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How social stock market app AfterHour improved retention with real-time recommendations.
Podcast app Overlap leveraged Shaped to deliver personalized podcast recommendations from day one.
Live social shopping beauty community Supergreat saw a significant increase in average time spent watching videos with Shaped.
Music platform Breakr saw an instant 382% increase in diversity on their creator recommendation system with Shaped.