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Shaped

Shaped

Shaped enables rapid integration of AI-driven search and recommendations to boost engagement, conversion, and retention in real-time.

Shaped Screenshot

What is Shaped?

Shaped is a cutting-edge tool designed to enhance user engagement, conversion rates, and retention through advanced Generative AI (GenAI) search and recommendation systems. It provides a configurable platform that adapts in real-time to user behavior, enabling businesses to deliver personalized experiences to their customers. With Shaped, organizations can build and deploy sophisticated search and recommendation systems at an accelerated pace, making it an attractive option for technical teams across various industries.

Features

Shaped comes packed with a variety of features that make it a powerful tool for enhancing search and recommendation capabilities. Below are some of the key features:

1. Easy Set-Up

  • Rapid Integration: Shaped allows for quick connection and deployment, enabling users to integrate directly with existing data sources. This means businesses can get started without extensive setup time.
  • User-Friendly Interface: Whether you are a seasoned expert or a novice developer, Shaped is designed to be accessible and manageable for everyone.

2. Real-Time Adaptability

  • Behavioral Signals: The platform can ingest and re-rank data in real-time using behavioral signals, allowing for timely adjustments that reflect user preferences and actions.
  • Dynamic Recommendations: This adaptability ensures that users receive the most relevant recommendations based on their current behavior.

3. State-of-the-Art Model Library

  • Fine-Tuning Capabilities: Users can fine-tune large language models (LLMs) and neural ranking models to achieve state-of-the-art performance tailored to their specific needs.
  • Diverse Model Options: The library includes various models that can be customized for different use cases, ensuring flexibility in implementation.

4. Highly Customizable

  • Experimentation: Users have the ability to build and experiment with various ranking and retrieval components, allowing for tailored solutions to meet unique business requirements.
  • Adaptable Framework: The customizable nature of Shaped means that it can be adjusted to fit a wide range of applications.

5. Explainable Results

  • In-Session Analytics: Shaped provides tools for visualizing, evaluating, and interpreting data through in-session analytics and performance metrics.
  • Data Transparency: This feature helps businesses understand the rationale behind recommendations, fostering trust in the system.

6. Secure Infrastructure

  • Enterprise-Grade Security: Shaped is built with security in mind, ensuring that it is compliant with GDPR and SOC2 regulations, making it suitable for businesses that prioritize data protection.
  • Scalability: The infrastructure is designed to scale seamlessly, accommodating growing data needs without compromising security.

7. Proven Results

  • Increased Redemption Rates: Shaped has been shown to increase redemption rates by 4x, indicating its effectiveness in driving user engagement.
  • Higher Average Order Values: Users have experienced a 16% increase in average order value, showcasing the platform's ability to enhance revenue.
  • Diversity in Recommendations: Shaped has improved diversity in recommendations by 3x, ensuring that users are exposed to a broader range of options.

Use Cases

Shaped is versatile and can be applied across various industries and platforms. Here are some notable use cases:

1. Marketplaces

  • Optimizing Buyer and Seller Experiences: Shaped can enhance the experience on both sides of a marketplace by providing personalized recommendations that cater to individual user preferences.
  • Streamlining Transactions: By improving the relevance of search results, Shaped can facilitate smoother transactions and increase overall satisfaction.

2. Social Media

  • Boosting Engagement: Social media platforms can leverage Shaped to turn traffic into community engagement by providing personalized content recommendations.
  • Retention Strategies: By understanding user behavior, Shaped can help social media platforms retain users through tailored experiences.

3. Media Platforms

  • Increasing Subscriptions: Media platforms can utilize Shaped to convert traffic into subscriptions by offering personalized content that resonates with users.
  • Enhancing Revenue: By improving engagement through targeted recommendations, Shaped can help media platforms boost their revenue streams.

4. E-Commerce

  • Driving Conversions: E-commerce businesses can benefit from Shaped by turning website traffic into conversions through relevant product recommendations.
  • Improving Customer Retention: By providing personalized shopping experiences, Shaped can help e-commerce platforms retain customers and encourage repeat purchases.

Pricing

While specific pricing details are not provided, Shaped offers a money-back guarantee, promising a guaranteed lift within the first 30 days of use. This assurance indicates a commitment to customer satisfaction and results-oriented service. Organizations interested in Shaped can reach out for a demo to understand the pricing structure and find a plan that aligns with their needs.

Comparison with Other Tools

Shaped stands out in the competitive landscape of recommendation systems and search tools. Here are some aspects in which it differentiates itself from other tools like Algolia and AWS Personalize:

1. Speed of Integration

  • Rapid Deployment: Shaped emphasizes a quick integration process, allowing businesses to connect their data in minutes and train models in hours, which is faster compared to many competitors.

2. Customization and Control

  • Highly Customizable: Unlike some other tools that may offer limited customization, Shaped allows users to build and experiment with various ranking and retrieval components, providing greater control over the final product.

3. Real-Time Adaptability

  • Behavioral Re-Ranking: Shaped's ability to re-rank recommendations in real-time based on user behavior sets it apart from other tools that may not offer this level of adaptability.

4. Explainability

  • In-Session Analytics: Shaped provides users with explainable results through analytics and performance metrics, fostering transparency and trust that may not be as robust in other platforms.

5. Proven Performance Metrics

  • Demonstrated Results: Shaped's claims of increased redemption rates, average order values, and diversity in recommendations provide tangible evidence of its effectiveness compared to competitors.

FAQ

How long will it take to integrate?

The integration process with Shaped is designed to be quick and efficient. Users can connect their data in minutes, train their first model in hours, and fully integrate into their application within days.

Can I use Shaped for multiple ranking use-cases?

Yes, Shaped is highly customizable, allowing businesses to implement it for various ranking use cases across different platforms and applications.

How much data do I need?

Shaped is designed to work with varying amounts of data, making it accessible for businesses of all sizes. However, larger datasets may yield better performance in terms of model training and recommendations.

Why shouldn’t I build this in-house?

Building a recommendation system in-house can be resource-intensive and time-consuming. Shaped offers a robust, tested solution that can be integrated quickly, allowing businesses to focus on their core competencies rather than developing complex algorithms from scratch.

How do you handle my data?

Shaped prioritizes data security and compliance. The platform is built with enterprise-grade security measures, ensuring that user data is handled in accordance with GDPR and SOC2 standards.

In conclusion, Shaped is a powerful tool for businesses looking to enhance their search and recommendation capabilities through advanced AI technology. With its user-friendly setup, real-time adaptability, and proven results, Shaped stands out as a compelling choice for organizations aiming to improve user engagement and drive conversions.

Ready to try it out?

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