Shaped
A platform utilizing Artificial Intelligence to enhance interaction for businesses' updates, suggestions, and alerts.
What is Shaped?
Shaped is a platform that assists businesses in boosting interaction for feeds, recommendations, and notifications by utilizing machine learning technology. It offers solutions for multiple industries, including online marketplaces, social networking sites, media platforms, electronic commerce, and others.
How to use Shaped?
To work with Shaped, link your data to the platform, develop your ranking models, and merge them into your app. Shaped provides simple APIs and manages the complicated parts of data engineering, model training, and rollout. It enables you to tailor user sessions instantly, adjust to new scenarios, and use all your data for ranking. Shaped is built for developers, offering flexible and adjustable options for testing.
Features
- Key aspects of Shaped are: 1. Customized 'For You' Pages: Design pages tailored to individual users' needs. 2. Tailored Feeds: Modify content feeds to display relevant information. 3. Enhanced Search: Refine search results to improve overall user experience. 4. Personalized Suggestions: Offer users tailored recommendations. 5. Custom Notifications: Create personalized alerts to boost user engagement. 6. Personalized Chat: Improve user interactions with tailored chat experiences. 7. Similar Items: Suggest similar items to users. 8. Real-time AI Personalization: Adjust to user preferences instantly. 9. Infrastructure for Recommendations, Search, and User Modeling: Leverage Shaped's infrastructure to simplify these tasks.
Use Cases
- Shaped can be utilized for numerous personalization purposes, including: 1. 'For You' Pages: Design customized landing pages for users based on individual preferences. 2. Feeds: Tailor news feeds, social media feeds, or product feeds to display relevant content for each user. 3. Top picks for you: Produce personalized suggestions of top items or content for users. 4. Trending news: Display trending news articles based on user interests and preferences. 5. Frequently bought together: Offer personalized suggestions of items frequently purchased together. 6. Conquer the cold-start: Adapt to new users by personalizing their experience based on limited available data. 7. Enhance search results: Boost the relevance and accuracy of search results. 8. Improve recommendation accuracy: Refine recommendations to increase user satisfaction and experience.
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