Shaped for
E-Commerce
Turn product discovery into revenue with real-time, personalized recommendations.
Convert more shoppers by surfacing the right products at every step, from homepage to cart.
Tailor recommendations across homepages, product pages, and emails. Shaped dynamically adapts to each customer’s journey to show the right product at the right time, increasing engagement and conversion.
Shaped tracks user signals in real time, using them to personalize recommendations and reorder results as shoppers browse. This ensures your site always feels responsive and tailored.
Launch new SKUs or collections with confidence. Shaped applies similarity and exploration models to drive early visibility and sales for products without historical data.
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.
Experiment freely with varying use cases, models, and objectives.
Popular, trending, or chronological product rankings
.png)
Boost AOV with relevant in-cart suggestions
Re-rank categories based on browsing and purchase history
Build tailored product feeds for each shopper
.png)
Recommend similar items on product pages
.png)
Suggest relevant products for new or unknown users
Improve results with a mix of search and personalization
Suggest follow-ups based on recent purchases
Notify users when items return or go on sale
Recommend complementary products as purchasable sets
Prioritize items available in the user’s region
Rank products based on current user intent
.png)
Guide discovery via chat or virtual assistants
Send relevant, personalized notifications to engage users
Send relevant, personalized notifications to engage users
Guide discovery via chat or virtual assistants
Rank products based on current user intent
Prioritize items available in the user’s region
Recommend complementary products as purchasable sets
Notify users when items return or go on sale
Suggest follow-ups based on recent purchases
Improve results with a mix of search and personalization
Suggest relevant products for new or unknown users
Recommend similar items on product pages
Build tailored product feeds for each shopper
Re-rank categories based on browsing and purchase history
Boost AOV with relevant in-cart suggestions
Popular, trending, or chronological product rankings
.webp)
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.