Shaped
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Shaped is an AI-native personalization platform designed to empower businesses to build, deploy, and manage highly customized ranking models. It leverages advanced machine learning to optimize digital experiences, from product recommendations to content feeds, driving superior user engagement and critical business outcomes. By offering a 'ranking as a service' approach, Shaped enables companies to deliver real-time, contextually relevant personalization without requiring extensive in-house ML expertise or infrastructure.
What It Does
Shaped allows businesses to connect their existing data sources to its platform, where it then trains custom AI models tailored to specific business goals, such as maximizing conversions or retention. These models are deployed to serve real-time personalized rankings and recommendations across various digital touchpoints. The platform handles the complex ML infrastructure, enabling rapid iteration and optimization of personalization strategies.
Pricing
Pricing Plans
Tailored pricing for businesses with specific personalization needs and high-volume data requirements, offering comprehensive features and support.
- Custom Ranking Models
- Real-time API
- Data Integrations
- Experimentation Tools
- Dedicated Support
- +1 more
Core Value Propositions
Accelerated Personalization Deployment
Launch sophisticated, AI-driven personalization strategies much faster by leveraging a ready-to-use platform, bypassing lengthy development cycles.
Enhanced User Engagement & Conversions
Deliver hyper-relevant experiences that captivate users, leading to higher click-through rates, increased purchases, and improved retention.
Reduced ML Infrastructure Overhead
Minimize the need for specialized ML engineers and infrastructure, allowing teams to focus on strategy and product innovation rather than maintenance.
Data-Driven Business Optimization
Leverage machine learning to continuously optimize key business metrics by intelligently ranking content and products based on performance.
Use Cases
E-commerce Product Recommendations
Dynamically rank products on category pages, search results, or 'For You' feeds to maximize conversions and average order value.
Content Feed Optimization
Personalize the order of articles, videos, or social media posts in a user's feed to increase engagement and time spent on platform.
Search Result Re-ranking
Adjust the ranking of search results based on individual user behavior and preferences, improving search satisfaction and relevance.
Dynamic Ad Targeting
Optimize the selection and order of advertisements displayed to users, increasing ad relevance and campaign performance.
Personalized Email Content
Generate highly personalized email newsletters or promotions by ranking content most likely to resonate with each recipient.
Technical Features & Integration
Custom Ranking Models
Builds and deploys AI models specifically designed to optimize rankings based on your unique business goals, ensuring highly relevant personalization.
Real-time Personalization API
Delivers personalized recommendations and rankings instantly via a low-latency API, integrating smoothly into any digital experience.
Seamless Data Integration
Connects effortlessly to various data sources like product catalogs, user behavior logs, and CRM data to fuel comprehensive model training.
Experimentation & A/B Testing
Enables rigorous testing of different ranking strategies and model iterations to identify the most effective approaches for business outcomes.
Explainable AI
Provides insights into why particular items are ranked in a certain order, fostering trust and allowing for informed model adjustments.
Scalable ML Infrastructure
Handles the underlying machine learning infrastructure, ensuring high performance and scalability for demanding personalization needs.
Target Audience
This tool is ideal for product managers, engineering teams, data scientists, and marketing professionals in e-commerce, media, and other digital businesses. It's particularly beneficial for companies looking to implement or enhance advanced personalization without dedicating significant resources to building and maintaining complex ML systems from scratch.
Frequently Asked Questions
Shaped is a paid tool. Available plans include: Enterprise Custom Pricing.
Shaped allows businesses to connect their existing data sources to its platform, where it then trains custom AI models tailored to specific business goals, such as maximizing conversions or retention. These models are deployed to serve real-time personalized rankings and recommendations across various digital touchpoints. The platform handles the complex ML infrastructure, enabling rapid iteration and optimization of personalization strategies.
Key features of Shaped include: Custom Ranking Models: Builds and deploys AI models specifically designed to optimize rankings based on your unique business goals, ensuring highly relevant personalization.. Real-time Personalization API: Delivers personalized recommendations and rankings instantly via a low-latency API, integrating smoothly into any digital experience.. Seamless Data Integration: Connects effortlessly to various data sources like product catalogs, user behavior logs, and CRM data to fuel comprehensive model training.. Experimentation & A/B Testing: Enables rigorous testing of different ranking strategies and model iterations to identify the most effective approaches for business outcomes.. Explainable AI: Provides insights into why particular items are ranked in a certain order, fostering trust and allowing for informed model adjustments.. Scalable ML Infrastructure: Handles the underlying machine learning infrastructure, ensuring high performance and scalability for demanding personalization needs..
Shaped is best suited for This tool is ideal for product managers, engineering teams, data scientists, and marketing professionals in e-commerce, media, and other digital businesses. It's particularly beneficial for companies looking to implement or enhance advanced personalization without dedicating significant resources to building and maintaining complex ML systems from scratch..
Launch sophisticated, AI-driven personalization strategies much faster by leveraging a ready-to-use platform, bypassing lengthy development cycles.
Deliver hyper-relevant experiences that captivate users, leading to higher click-through rates, increased purchases, and improved retention.
Minimize the need for specialized ML engineers and infrastructure, allowing teams to focus on strategy and product innovation rather than maintenance.
Leverage machine learning to continuously optimize key business metrics by intelligently ranking content and products based on performance.
Dynamically rank products on category pages, search results, or 'For You' feeds to maximize conversions and average order value.
Personalize the order of articles, videos, or social media posts in a user's feed to increase engagement and time spent on platform.
Adjust the ranking of search results based on individual user behavior and preferences, improving search satisfaction and relevance.
Optimize the selection and order of advertisements displayed to users, increasing ad relevance and campaign performance.
Generate highly personalized email newsletters or promotions by ranking content most likely to resonate with each recipient.
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