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Constructor
Categories: Business & Sales, E-commerce, Automation / Agents |
Pricing: Enterprise |
Official Website ↗
Constructor provides an AI-native product discovery platform for e-commerce, enhancing search, browse, recommendations, and shopping agents.
Constructor offers an AI-powered e-commerce search and product discovery platform designed to interpret shopper behavior, context, and intent. Its core Commerce Reasoning Engine delivers personalized product results across various touchpoints, including onsite search, category pages, recommendations, and AI shopping agents. The platform aims to optimize product discovery for retailers by providing relevant results and experiences.
The platform includes features like AI Shopping Agents for natural language product finding, Product Insights Agents for personalized product questions, and Attribute Enrichment using GenAI to improve discoverability. It also supports offsite discovery through email, SMS, and mobile notifications, and provides merchant intelligence tools for analytics and experimentation. Constructor is API-first, headless, and composable, allowing integration with existing technology stacks.
Key Features
- AI Shopping Agent
- Product Insights Agent
- AI-driven Search & Autosuggest
- Personalized Browse pages
- Product Recommendations
- Retail Media for sponsored products
- Dynamic Product Collections
- Product Recommendation Quizzes
Pros
- AI-native platform specifically for e-commerce product discovery
- Uses a Commerce Reasoning Engine for deep understanding of shopper intent
- Offers 'glassbox AI' for transparency in decision-making
- API-first, headless, and composable for flexible integration
- Supports both B2C and B2B e-commerce needs
- High client retention rate and positive industry recognition
Cons
- Pricing information is not transparently available
- Primarily focused on enterprise-level retailers
- Requires integration into existing e-commerce infrastructure
- Some features like Merchant Intelligence Agent and Answer Engine Assistants are in Beta
Use Cases
- Improving e-commerce search relevance and conversion
- Personalizing product recommendations across channels
- Automating product attribute enrichment
- Creating AI-powered shopping assistants
- Optimizing category page merchandising
- Driving cross-channel marketing campaigns with product data
Best For
- Enterprise e-commerce retailers
- B2B e-commerce businesses
- Fashion & Apparel retailers
- Grocery retailers
- Furniture & Home Goods retailers
- Department & General Merchandise stores
Integrations: Shopify (mentioned in an event), Various retail consultants, systems integrators, and technology platforms (API-first)
Platforms: Web
Watch demo on YouTube ↗
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