Shaped
Overview of Shaped
What is Shaped?
Shaped is an AI-powered personalization platform that delivers real-time recommendations and search capabilities for digital businesses. The platform enables companies to create TikTok-level personalization experiences that adapt dynamically based on user behavior and engagement signals.
How Does Shaped Work?
Shaped operates through a sophisticated machine learning infrastructure that processes behavioral data in real-time. The platform connects directly to your existing data sources, ingests user interaction signals, and uses state-of-the-art neural ranking models to deliver personalized content rankings.
Core Technical Architecture
- Real-Time Data Processing: Shaped captures and processes user behavior signals instantly, allowing recommendations to adapt within milliseconds
- Hybrid Ranking Models: Combines collaborative filtering, content-based filtering, and neural networks for optimal performance
- Embedding Technology: Utilizes advanced user and item embeddings for sophisticated recommendation strategies
- Explainable AI: Provides transparent analytics and performance metrics to understand why specific recommendations are made
Key Features and Capabilities
For You Feeds
Create dynamic, personalized content feeds similar to TikTok or Instagram Reels that keep users engaged and coming back for more.
Hybrid Search
Combine traditional keyword search with personalized ranking algorithms to deliver smarter, more relevant search results that help users find what they want faster.
Product Recommendations
Surface the right products at precisely the right time to boost conversions and engagement for e-commerce platforms.
Cart Upsell & Cross-Sell
Intelligently suggest relevant add-ons and bundles during checkout to increase average order value by up to 16%.
Email Personalization
Deliver hyper-relevant content and product recommendations within email campaigns to drive higher open and click-through rates.
Advanced Use Cases
- Grid Ranking: Create personalized grids with ranked rows and columns like Netflix
- Item Cold Start: Handle new items intelligently with attribute-aware ranking models
- User Cold Start: Provide relevant recommendations for new or anonymous users
- Conversational Recommenders: Build personalized AI assistant experiences
Who is Shaped For?
Shaped is designed for technical teams across various industries:
- E-commerce Companies: Looking to increase conversion rates and average order value
- Social Media Platforms: Seeking to boost user engagement and retention
- Media Companies: Wanting to improve content discovery and subscription rates
- Marketplaces: Needing to optimize both buyer and seller experiences
- Technical Teams: Including ML engineers, data scientists, and developers who want enterprise-grade personalization without building from scratch
Practical Benefits and Results
Businesses using Shaped typically experience:
- 4x increase in redemption rates
- 16% boost in average order value
- 3x improvement in content diversity
- 1000+ queries per second handling capacity
- 100M+ users and items scalability
Integration and Implementation
Shaped offers seamless integration with popular data sources and platforms including:
- Analytics Tools: Segment, Amplitude
- Data Warehouses: BigQuery, Snowflake, PostgreSQL, MySQL
- Development Frameworks: JavaScript, Python with easy npm installation
The platform guarantees lift within the first 30 days or offers money-back assurance, with most teams able to implement with one engineer in a single sprint.
Why Choose Shaped Over Alternatives?
Compared to solutions like Algolia or AWS Personalize, Shaped provides:
- Unified Platform: Single solution for feeds, search, and recommendations
- Real-Time Adaptability: Instant learning from every user signal
- Greater Customization: Full control over ranking and retrieval components
- Enterprise Security: GDPR and SOC2 compliant infrastructure
- Expert Support: Dedicated guidance on data collection and long-term infrastructure strategy
Shaped represents the next generation of personalization technology, combining ease of implementation with sophisticated AI capabilities that drive measurable business results across engagement, conversion, and revenue metrics.
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