Constructor

Categories: E-commerce, Marketing & Ads, Business & Sales | Pricing: Enterprise | Official Website ↗

Constructor uses AI to interpret shopper behavior and intent, delivering personalized product discovery experiences across all touchpoints for e-commerce businesses.

Constructor delivers high-converting results across every shopper touchpoint by reasoning about behavior, context, and intent, rather than just personalizing. Its AI-native platform ingests vast volumes of behavioral, contextual, and catalog data to ensure optimal results for each person across search, onsite agents, browse, and recommendations. This creates personalized, thoughtful experiences that convert. The platform offers a suite of tools for product discovery, including AI Shopping Agents that help shoppers find products using natural language, and Product Insights Agents that generate answers to product questions. For onsite experiences, it provides personalized search and browse results, product recommendations, retail media monetization, and dynamic product collections. Offsite capabilities include tailored email recommendations, SMS and mobile notifications, and extending online intelligence to physical stores. Constructor also offers Answer Engine Assistants for real-time data integration with platforms like ChatGPT, and insights tools such as Merchant Intelligence Agents for understanding result rankings, attribute enrichment using GenAI, and merchandiser controls for dashboards, reports, and experiments. Constructor is API-first, headless, composable, and platform-agnostic, allowing for easy integration with existing technology stacks. It is designed exclusively for product discovery in commerce, ensuring a specialized and optimized solution. The company boasts a 98.5% average client retention rate over the last three years and can be set up in 8 weeks or less, processing over 400 billion requests annually.

Key Features

AI Shopping Agents
Product Insights Agent
Search & Browse personalization
Recommendations engine
Retail Media monetization
Dynamic product collections
Email Recommendations
SMS & Mobile Notifications
In-Store intelligence extension
Answer Engine Assistants (Beta)
Merchant Intelligence Agent (Beta)
Attribute Enrichment

Pros

Personalizes shopper experiences across multiple touchpoints
Ingests vast volumes of behavioral, contextual, and catalog data
API-first, headless, composable, and platform-agnostic for easy integration
High client retention rate (98.5% over three years)
Recognized as a leader by major analyst firms (Forrester, Gartner, IDC)
Fast setup time (8 weeks or less)
Processes over 400 billion requests per year

Cons

No explicit pricing details provided, suggesting an enterprise model
Beta features indicate ongoing development
Focuses exclusively on product discovery for commerce, limiting broader application

Use Cases

Personalizing e-commerce search results
Generating product recommendations
Monetizing retail media
Creating dynamic product collections
Enhancing customer support with AI shopping agents
Extending online intelligence to physical stores
Enriching product data with GenAI
Analyzing merchant intelligence

Best For

E-commerce businesses
Retailers seeking to personalize shopper experiences
Companies looking to improve product discovery
Merchandisers and marketing teams

Integrations: Salesforce, BigCommerce, Elastic Path, Akeneo, Commercetools, Amplience, Contentstack, Shopify, Contentful, AWS, Orium, Emporix, Simon Data, SAP Commerce Cloud, Google Cloud, Adobe Commerce, Deloitte Digital, 64labs, Amperity

Platforms: web, api

Watch demo on YouTube ↗

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