Shaped - Detailed Review
Marketing Tools
Shaped - Product Overview
Introduction to Shaped
Shaped is an AI-driven recommendation and search platform that helps businesses create highly personalized user experiences. Here’s a breakdown of its primary function, target audience, and key features.Primary Function
Shaped’s primary function is to enable businesses to deliver relevant and customized recommendations and search results to their users. It achieves this by leveraging advanced AI models, including transformers and Large Language Models (LLMs), to process and rank complex, unstructured data such as text, images, and video.Target Audience
Shaped is targeted at a wide range of industries, including e-commerce, social media, media platforms, and marketplaces. It is particularly useful for companies looking to optimize user interactions, increase engagement, and drive meaningful business outcomes.Key Features
Real-Time Personalization
Shaped can ingest and re-rank data in real time based on user interactions, ensuring dynamic and relevant user experiences.Easy Integration
The platform integrates directly with existing data sources, such as popular data warehouses like BigQuery, PostgreSQL, and Snowflake, allowing for quick deployment without extensive manual data transformation.Model Library
Shaped offers a range of models, including fine-tuned LLMs and neural ranking models, which can be fine-tuned to achieve state-of-the-art performance for specific business needs.Multi-Modal Data Handling
It can handle complex, unstructured data types like text, images, and video, making it highly adaptable across different industries.Explainable Results
Shaped provides in-session analytics and performance metrics, helping businesses visualize, evaluate, and interpret the impact of the recommendations.Continuous Training
The platform continuously ingests data to retrain and improve the recommendation models, ensuring they remain up-to-date with the latest user behavior and trends.Maximal Marginal Relevance (MMR) Algorithm
Shaped uses the MMR algorithm to combat popularity bias, increasing content diversity and relevance in recommendations. By leveraging these features, Shaped helps businesses enhance user engagement, increase conversion rates, and drive revenue growth through personalized and relevant user experiences. Shaped - User Interface and Experience
User Interface and Experience of Shaped
The user interface and experience of Shaped, an AI-driven recommendation and search engine, are crafted to be intuitive, efficient, and highly engaging.Ease of Use
Shaped is designed with ease of use in mind, particularly for developers and data scientists. Here are some key aspects that highlight its usability:Straightforward API
Shaped provides a simple and easy-to-use API for ranking, which allows developers to integrate personalized features into their applications or websites quickly. This API integrates seamlessly with existing data infrastructure, reducing the need for extensive manual data transformation.Direct Integration
The platform connects directly to popular data warehouses, enabling quick and straightforward deployment. This minimizes additional work and complexity for data scientists and ML engineers.Real-Time Feature Store
Shaped’s real-time feature store allows developers to access and edit user data in real time, making customization more dynamic and responsive to user interactions.User Interface
The user interface of Shaped is optimized for both developers and end-users:Developer-Friendly
For developers, the integration process involves installing the Shaped API client, configuring the API key, sending data about user interactions, and displaying the ranked results. This process is well-documented and supported by comprehensive API and SDK support, especially for Flutter apps.End-User Experience
For end-users, Shaped ensures a seamless and responsive experience. The platform uses real-time adaptability to update recommendations based on user interactions, ensuring that the content displayed is relevant and engaging. This is achieved through session-based recommendations that consider the latest user interactions to serve the most relevant content.Engagement and Personalization
Shaped enhances user engagement through several features:Personalized Recommendations
The platform uses advanced AI models, including transformers and Large Language Models (LLMs), to process and rank complex, unstructured data like text, images, and video. This ensures that users receive highly personalized and relevant content.Real-Time Updates
Shaped’s ability to ingest and re-rank data in real time ensures that the user experience remains dynamic and responsive to user actions. This real-time adaptability is crucial for maintaining user engagement and satisfaction.Explainable Results
The platform provides in-session analytics and performance metrics, helping businesses visualize, evaluate, and interpret the impact of the recommendations. This transparency ensures that the personalization is both effective and explainable.Overall User Experience
The overall user experience with Shaped is highly personalized and engaging. Here are some key points:Increased Content Diversity
Shaped’s use of the Maximal Marginal Relevance (MMR) algorithm helps combat popularity bias, increasing content diversity and ensuring that users are exposed to a wide range of relevant content.Interpretable Insights
The platform provides interpretable insights into the logic behind the recommendations, helping businesses understand the specific choices made for each user. This transparency enhances trust and satisfaction among users.Seamless Integration
The ease of integration with existing data sources and the straightforward setup process ensure that businesses can quickly improve engagement, conversion, and retention KPIs without significant technical hurdles. In summary, Shaped’s user interface is designed to be user-friendly, efficient, and highly effective in delivering personalized experiences. Its ease of use, real-time adaptability, and advanced AI capabilities make it a valuable tool for enhancing user engagement and satisfaction. Shaped - Key Features and Functionality
Shaped.ai Overview
Shaped.ai is an AI-driven platform that specializes in providing personalized user experiences, particularly in the areas of recommendation and search for marketplaces, e-commerce, and content companies. Here are the main features and how they work:
Easy-to-use API for Ranking
Shaped.ai offers a straightforward ranking API that developers can integrate into their applications or websites. This API allows for the inclusion of user-generated content and personalized recommendations without the need for extensive data engineering, model training, and deployment.
Connectivity to Widely Used Data Warehouses
The platform seamlessly integrates with popular data warehouses, enabling developers to leverage their existing data infrastructure. This integration allows businesses to quickly improve engagement, conversion, and retention KPIs by utilizing their current data sources.
Instant Feature Store
Shaped.ai provides a real-time feature store that allows developers to access and edit user data in real-time. This feature makes personalization more dynamic, enabling businesses to respond quickly to user behavior and preferences.
Multi-Connector SQL Interface
The platform includes a multi-connector SQL interface, which allows developers to manage and analyze data easily. This interface enables the creation of unique experiences by facilitating the examination and manipulation of data through multiple SQL connectors.
Interpretable Insights
Shaped.ai offers interpretable insights for its models, helping businesses understand the specific choices made for each user and the logic behind those choices. This transparency is crucial for measuring the impact of personalization and making informed decisions.
Self-Serve Cloud Product
Shaped.ai has launched a self-serve cloud product that empowers teams to connect their data and build real-time, semantic discovery models for recommendations and search. This product simplifies the process of building personalized user experiences without the high costs associated with developing them from scratch.
Integration with Large Language Models
The platform leverages large language models to understand content without manual tagging, adapting to user behavior in real-time. This capability enhances the personalization and relevance of user experiences.
Actionable Insights
Shaped.ai combines AI with a focus on actionable insights, providing businesses with the tools to deliver impactful user journeys that boost conversion rates and customer satisfaction. This integration helps in creating user experiences that are informed and intelligent.
Conclusion
By integrating these features, Shaped.ai makes AI-powered personalization more accessible and easier to implement, allowing businesses to drive engagement, revenue, and customer satisfaction effectively.
Shaped - Performance and Accuracy
Performance of Shaped
Shaped, an AI-driven recommendation and search engine, demonstrates several key strengths in its performance within the marketing tools category:Real-Time Adaptability
Shaped stands out for its real-time adaptability, allowing it to ingest and re-rank data using behavioral signals. This capability ensures that the system remains responsive to user actions, providing dynamic updates to recommendations and enhancing user engagement and conversion rates.Multi-Modal Data Handling
Shaped leverages advanced AI models, including transformers and Large Language Models (LLMs), to handle complex, unstructured data types such as text, images, and video. This multi-modal data understanding significantly enhances ranking performance by fully leveraging all available data, a feature that sets it apart from competitors like Algolia and AWS Personalize.Easy Set-Up and Integration
The platform offers direct integration with existing data sources, enabling quick and straightforward deployment. This seamless integration minimizes additional work and complexity for data scientists and ML engineers, making it easier to connect and deploy the system.State-of-the-Art Model Library
Shaped allows businesses to fine-tune LLMs and neural ranking models to achieve state-of-the-art performance. This flexibility enables businesses to customize the models according to their specific needs, ensuring optimal performance for their unique use cases.Explainable Results
The platform provides in-session analytics and performance metrics, which help visualize, evaluate, and interpret the impact of the recommendations. This transparency is crucial for understanding the effectiveness of the system and making informed decisions.Accuracy
Addressing Popularity Bias
Shaped’s implementation of the Maximal Marginal Relevance (MMR) algorithm helps balance relevance and diversity in recommendation systems. This approach successfully combats popularity bias, ensuring a more diverse set of recommendations and increasing content diversity, as seen in the case study with Breakr.Handling Cold Start Problem
Shaped uses advanced machine-learning techniques and pre-trained models to address the cold start problem, where the model needs to operate with minimal initial data. This approach enhances model accuracy and provides better signals for improved performance even with limited data.Limitations and Areas for Improvement
Data Requirements
While Shaped can handle minimal initial data, its full potential is realized when it has access to a broad range of data. Businesses with limited data may not be able to fully leverage all the features, particularly those requiring extensive user interactions and behavioral signals.Integration with Specific Systems
Although Shaped integrates seamlessly with many digital products, including Flutter apps, there might be specific systems or legacy infrastructure that could pose integration challenges. Ensuring compatibility with a wide range of systems is an ongoing area for improvement.Continuous Model Fine-Tuning
To maintain high accuracy, the models need continuous fine-tuning and updating. This requires ongoing effort and resources from the business to ensure the models remain optimized and effective. In summary, Shaped’s performance and accuracy are enhanced by its real-time adaptability, multi-modal data handling, easy set-up, and state-of-the-art model library. However, it does face limitations related to data requirements and potential integration challenges with certain systems. Addressing these areas can further optimize the platform’s performance and user experience. Shaped - Pricing and Plans
The Pricing Structure for Shaped
The pricing structure for Shaped, an AI-driven marketing tool, is based on a flat-fee monthly model that is determined by usage. Here are the key points regarding their pricing and plans:
Usage-Based Pricing
- The pricing for Shaped is calculated based on the approximate number of monthly active users, item counts, and specific implementation details of the client.
No Tiered Plans Described
- Unlike some other services, Shaped does not explicitly outline different tiers or plans on their website. Instead, the pricing is customized based on the client’s specific needs and usage.
Features Available
- Regardless of the specific pricing, all users have access to features such as real-time ranking systems, multi-modal unstructured data understanding, and state-of-the-art model libraries including transformers and Large Language Models (LLMs).
- Users can connect and deploy rapidly with direct integration to their existing data sources, and the system adapts in real-time using behavioral signals.
No Free Options
- There is no mention of free plans or options on the Shaped website. The service appears to be a paid, enterprise-grade solution.
Custom Pricing Estimates
- To get a precise pricing estimate, clients need to provide details about their monthly active users, item counts, and other implementation specifics. Shaped then provides a customized pricing estimate based on this information.
If you are interested in using Shaped, you would need to contact them directly to get a tailored pricing quote based on your specific requirements.
Shaped - Integration and Compatibility
Shaped Overview
Shaped, an AI-driven recommendation and search engine, is designed to integrate seamlessly with various tools and platforms, making it a versatile solution for enhancing user experiences across different industries.
Integration Process
The integration process with Shaped is relatively straightforward and efficient. Here are the key steps:
Direct API and SDK Support
Shaped offers direct API and SDK support, which allows for quick and easy integration into digital products. This includes support for frameworks like Flutter, enabling developers to integrate Shaped into mobile applications with minimal manual setup.
Quick Deployment
You can connect your data to Shaped in minutes, train your first model in hours, and fully integrate it into your app in days. This rapid deployment is facilitated by Shaped’s CLI-based setup, which connects directly to your data warehouses and application stores.
Compatibility Across Platforms
Multi-Platform Support
Shaped can be integrated into various digital products, including e-commerce platforms, social media, media platforms, and marketplaces. This versatility makes it suitable for a wide range of industries.
Flutter Integration
For developers using Flutter, Shaped provides comprehensive API and SDK support. This involves installing the Shaped API client, configuring the API key, and making requests to the Shaped service to improve recommendations based on user interactions.
Data Compatibility
Multi-Modal Data Handling
Shaped can handle complex, unstructured data types such as text, images, and video. This capability is a significant advantage over competitors like Algolia and AWS Personalize, which do not support multi-modal unstructured data understanding.
Real-Time Data Ingestion
Shaped can ingest and re-rank data in real-time using behavioral signals, ensuring that the system remains responsive to user actions. This real-time adaptability is crucial for providing dynamic and relevant recommendations.
Support and Maintenance
White-Glove Support
Shaped offers hands-on support, providing advice and assistance in building and maintaining models. This support is particularly beneficial for data scientists and ML engineers, as it minimizes the need for manual data transformations and ongoing maintenance.
Enterprise-Grade Security
Shaped operates with enterprise-grade security, ensuring compliance with GDPR and SOC2 standards. The platform only retrieves necessary data from connected datastores and does not persist customer data within Shaped, adding an extra layer of security.
Overall, Shaped’s integration capabilities, multi-platform compatibility, and real-time data handling make it a highly adaptable and efficient solution for businesses looking to enhance user engagement and drive meaningful outcomes.
Shaped - Customer Support and Resources
Comprehensive Customer Support Options
Shaped AI offers several comprehensive customer support options and additional resources to ensure users get the help they need efficiently.Email Support
For general enquiries, questions, or concerns about Shaped, you can reach out via email athello@shaped.ai. This channel is also available for security and privacy-related questions or complaints.
Slack Community
Shaped has a public Slack channel that anyone can join. This community is active 24/7, and the team is available to answer questions about the product, recommendations, or any personalized AI-related queries. If you prefer a more direct Slack channel, you can request this by emailingsupport@shaped.ai.
Demo and Product Experts
If you are interested in seeing how Shaped works, you can book a demo with one of their product experts. You can either fill out the form on their webpage or emailhello@shaped.ai to arrange this. This is particularly useful if you are interested in enterprise features and the enterprise service agreement.
Additional Resources
Model Library and AI Capabilities
Shaped provides an extensive model library that includes fine-tuned large language models (LLMs) and neural ranking models. This allows for state-of-the-art performance in content understanding and personalized ranking. The platform also employs hybrid and multi-stage systems to create robust recommendation systems.Integration Support
Shaped offers easy integration with existing tech stacks, including direct connections to data sources like databases, data warehouses, and analytics platforms. This streamlined integration process is supported by APIs and SDKs, making deployment quick and straightforward. By leveraging these support options and resources, users can effectively integrate Shaped AI into their operations and address any questions or issues that arise. Shaped - Pros and Cons
Advantages of Shaped.ai
Personalization and Engagement
Shaped.ai offers a straightforward ranking API that allows developers to integrate user-generated content and personalized features into their applications and websites. This enhances user engagement, conversion, and retention by providing relevant and meaningful experiences.Ease of Integration
The platform integrates seamlessly with popular data warehouses, enabling developers to use their existing data infrastructure. This ease of integration allows for quick improvements in key performance indicators (KPIs) such as engagement, conversion, and retention.Real-Time Feature Store
Shaped.ai features a real-time feature store that allows developers to access and edit user data in real time, making personalization more dynamic and responsive.Interpretable Insights
The platform provides interpretable insights into the models, helping businesses understand the specific choices made for each user and the logic behind them. This transparency is particularly valuable for optimizing user experiences.Expertise
Shaped.ai was developed by AI experts and engineers who worked on Facebook’s ranking techniques, ensuring the use of state-of-the-art data science techniques to personalize user experiences.Disadvantages of Shaped.ai
Stability and Support
Given that Shaped.ai is a relatively new company (founded in 2021), it may lack the stability, support, and scalability that more established competitors offer. This could be a concern for users who require reliable and extensive support.Limited Use Cases
Shaped.ai may not be suitable for use cases that require complex or specialized ranking logic or subject matter expertise. Such scenarios might be beyond the capabilities of the platform.Compatibility Issues
If the API or data warehouse connections of Shaped.ai are not compatible with your specific data source or platform, you may encounter difficulties in using the service.Cost
Although Shaped.ai currently offers a free plan with no paid options, it could still be too expensive for startups and small organizations with limited budgets for AI solutions if pricing models change in the future. By considering these points, you can make an informed decision about whether Shaped.ai aligns with your marketing and personalization needs. Shaped - Comparison with Competitors
Unique Features of Shaped.ai
- Easy-to-use Ranking API: Shaped.ai offers a straightforward ranking API that allows developers to integrate user-generated content and personalized recommendations into their applications and websites without the need for extensive data engineering or model training.
- Integration with Data Warehouses: Shaped.ai seamlessly connects with popular data warehouses, enabling quick improvements in engagement, conversion, and retention KPIs.
- Real-time Feature Store: The platform provides a real-time feature store, allowing developers to access and edit user data dynamically.
- Interpretable Insights: Shaped.ai offers interpretable insights into the models, helping businesses understand the logic behind user choices.
- Free Plan: Unlike many other tools, Shaped.ai is available for free, making it an attractive option for developers and small organizations with limited budgets.
Potential Alternatives and Comparisons
AdCreative.ai
- Focus on Ad Creatives: AdCreative.ai is specialized in creating advertising strategies, ad creatives, copy, and audiences. It excels in generating ad copy and optimizing for conversions but may not be as strong in creative outputs.
- Cost: AdCreative.ai requires a conversation with the sales team for pricing, which can be a barrier for those seeking transparent pricing.
- Difference: While AdCreative.ai focuses on ad creatives and copy, Shaped.ai is more about integrating personalized content and recommendations into broader applications.
HubSpot AI
- All-in-One Platform: HubSpot AI is part of an all-in-one marketing and sales platform, offering tools like campaign assistants, AI-powered CRM, and content writers. It is more comprehensive but may be overwhelming for those only needing ranking and personalization features.
- Cost: HubSpot AI has both free and premium tools, but the full suite can be expensive, especially for smaller organizations.
- Difference: HubSpot AI covers a wide range of marketing and sales functions, whereas Shaped.ai is specifically focused on ranking and personalization.
Particl
- Competitor Intelligence: Particl is focused on automating competitor intelligence for e-commerce brands, analyzing sales, marketing, and pricing data. It is not directly related to personalization or ranking APIs.
- Cost: Particl offers a free 14-day trial, then starts at $200/month, which is significantly more expensive than Shaped.ai’s free plan.
- Difference: Particl is specialized in competitor analysis, whereas Shaped.ai is about integrating personalized content and recommendations.
Synthesia and HeyGen
- Content Generation: Tools like Synthesia and HeyGen focus on generating AI videos and personalized video content. While they enhance customer engagement through video, they do not offer the same ranking and personalization features as Shaped.ai.
- Cost: Synthesia and HeyGen have their own pricing models, with HeyGen starting at $29/month, but they are more focused on video content rather than broad personalization.
- Difference: These tools are specialized in video content generation, whereas Shaped.ai is about integrating personalized recommendations and content across various applications.
Summary
Shaped.ai stands out with its easy-to-use ranking API, real-time feature store, and seamless integration with data warehouses, all available for free. While other tools like AdCreative.ai, HubSpot AI, Particl, Synthesia, and HeyGen offer valuable features in their respective areas, they do not match the specific focus and cost-effectiveness of Shaped.ai for developers seeking to integrate personalized content and recommendations into their applications. Shaped - Frequently Asked Questions
What is Shaped and how does it work?
Shaped is a powerful recommendation and search engine that leverages advanced AI models, including transformers and Large Language Models (LLMs), to process and rank complex, unstructured data such as text, images, and video. It integrates with existing data sources and uses real-time behavioral signals to provide personalized recommendations and search results.
What are the key features of Shaped?
Key features of Shaped include:
- Easy Set-Up: Direct integration with existing data sources allows for rapid deployment without extensive manual data transformation.
- Real-Time Adaptability: Shaped can ingest and re-rank data in real time using behavioral signals.
- Model Library: Businesses can fine-tune LLMs and neural ranking models for state-of-the-art performance.
- Explainable Results: In-session analytics and performance metrics help visualize and evaluate the impact of recommendations.
How does Shaped handle real-time personalization?
Shaped’s real-time adaptability allows for dynamic updates to recommendations based on user interactions. This ensures that the system remains responsive to user actions, providing relevant and up-to-date recommendations as users engage with the application or website.
Can Shaped be integrated into various digital products?
Yes, Shaped can be integrated into various digital products, including e-commerce platforms, social media, media platforms, and marketplaces. It enhances user experience by optimizing product recommendations, curating personalized content feeds, and improving search results.
How does Shaped address popularity bias in recommendations?
Shaped uses a Maximal Marginal Relevance (MMR) algorithm to combat popularity bias. This algorithm helps increase content diversity by ensuring that less popular but relevant content is also recommended, thereby providing a more diverse set of recommendations.
What is the pricing model for Shaped?
Shaped offers a flat-fee pricing model, which provides transparency and predictability. This model avoids the fluctuations and complexities associated with usage-based pricing models, making it easier for businesses to budget and plan.
How does Shaped support developers in integrating the platform?
Shaped provides a straightforward ranking API that developers can easily integrate into their applications or websites. It also integrates directly with popular data warehouses and offers a real-time feature store, making it easy for developers to manage and customize user data.
What are the pros and cons of using Shaped?
Pros include:
- Easy integration with existing data infrastructure
- Real-time personalization capabilities
- Interpretable insights for recommendation models
- Developed by AI experts from Facebook’s ranking methods
Cons include:
- Potential lack of stability, support, and scalability due to the company’s youth
- Limited capability in handling complex or niche ranking scenarios
- Compatibility issues with certain data sources or platforms
- Can be expensive for startups and small organizations.
Can Shaped be used across multiple industries?
Yes, Shaped is designed for a wide range of industries, including e-commerce, social media, media platforms, and marketplaces. Its versatility in handling different types of data makes it highly adaptable across various sectors.
How does Shaped ensure explainable results?
Shaped provides in-session analytics and performance metrics that help visualize, evaluate, and interpret the impact of the recommendations. This ensures transparency and helps businesses understand the logic behind the recommendations made for each user.
Is Shaped compatible with Flutter apps?
Yes, Shaped can be integrated into Flutter apps. The platform supports direct API and SDK integration, allowing for quick deployment and minimal manual setup. This enables dynamic updates to recommendations within the app, creating a seamless and responsive user experience.
Shaped - Conclusion and Recommendation
Final Assessment of Shaped in the Marketing Tools AI-Driven Product Category
Shaped is a potent AI-powered recommendation and search engine that leverages advanced models, including transformers and Large Language Models (LLMs), to process and rank complex, unstructured data such as text, images, and video. Here’s a comprehensive assessment of who would benefit most from using Shaped and an overall recommendation.
Key Benefits and Features
- Easy Set-Up and Integration: Shaped offers direct integration with existing data sources, allowing for rapid deployment without extensive manual data transformation. This ease of integration, including support for frameworks like Flutter, makes it an ideal choice for businesses aiming to optimize user engagement quickly.
- Real-Time Adaptability: Shaped can ingest and re-rank data in real-time using behavioral signals, ensuring the system remains responsive to user actions. This real-time adaptability is crucial for creating a seamless and responsive user experience.
- State-of-the-Art Model Library: Businesses can fine-tune LLMs and neural ranking models to achieve state-of-the-art performance tailored to their specific needs. This customization capability is particularly valuable for industries requiring unique ranking algorithms.
- Explainable Results: Shaped provides in-session analytics and performance metrics, helping visualize, evaluate, and interpret the impact of the recommendations. This transparency is essential for understanding the logic behind the recommendations and making data-driven decisions.
- Highly Customizable: The platform allows for building and experimenting with ranking and retrieval components for any use case, making it highly adaptable across various industries such as e-commerce, social media, media platforms, and marketplaces.
Who Would Benefit Most
Shaped is particularly beneficial for businesses that need to enhance user engagement, conversion rates, and overall revenue through personalized recommendations and search functionalities. Here are some key beneficiaries:
- E-Commerce Platforms: By optimizing product recommendations based on user behavior, Shaped can increase conversion rates and average order values.
- Social Media and Content Platforms: Shaped can boost engagement by curating personalized content feeds that align with user interests, turning passive traffic into an active community.
- Media and Marketplaces: For media and content platforms, Shaped can transform user traffic into subscriptions by recommending articles, videos, or podcasts that match user preferences. In marketplaces, it can improve both the buyer and seller experience by optimizing search results and product recommendations.
Overall Recommendation
Shaped is a highly recommended tool for any business seeking to enhance user engagement and drive growth through personalized recommendations and search. Here are some key points to consider:
- Ease of Use: Shaped’s straightforward API and easy integration with existing data sources make it accessible even for developers without extensive AI expertise.
- Real-Time Capabilities: The real-time adaptability of Shaped ensures that recommendations are always relevant and responsive to user interactions, which is crucial for maintaining high user engagement.
- Customization and Transparency: The ability to fine-tune models and the provision of explainable results make Shaped a versatile and transparent solution for various business needs.
However, it is important to note that Shaped, being a relatively new company (founded in 2021), may lack the stability, support, and scalability of more established competitors. Additionally, it might be too expensive for startups and small organizations with limited budgets for AI solutions.
In summary, Shaped is an excellent choice for businesses looking to leverage AI-driven recommendations and search to enhance user engagement and drive growth, especially those with the resources to fully utilize its advanced features.