tools
Constructor AI Shopping Agent
Conversational AI for ecommerce sites that helps shoppers discover products, answer questions, and refine recommendations.
Constructor AI Shopping Agent helps enterprise retailers guide shoppers from broad or unclear intents to product recommendations through natural-language conversations. It uses catalog data, shopper behavior, clickstream signals, and merchandising rules to return products, content, and refinement suggestions.
Retail, grocery, fashion, furniture, department-store, B2B, and other ecommerce teams can deploy it through search interfaces, chat experiences, or custom integrations. It requires implementation work, catalog and content setup, and integration with the retailer’s commerce stack; pricing is not publicly listed.
Features
- Answers natural-language shopping questions and supports conversational refinement
- Returns personalized product recommendations, categories, content, and instructions
- Uses clickstream data, catalog information, and in-session behavior
- Supports domain-specific agents trained with catalog context and prompt engineering
- Offers sentiment analysis for more context-aware responses
- Can be deployed through search bars, chat interfaces, or custom UX
- Provides an API for retrieving item suggestions from shopper questions
- Does not pass personally identifiable information to LLMs
Use cases
- Guide shoppers from vague needs to relevant products
- Build grocery carts from meal plans and suggest substitutions
- Recommend clothing for occasions, fit preferences, and style goals
- Help furniture shoppers compare dimensions, materials, and compatible pieces
- Answer technical B2B product, compatibility, and bulk-order questions
- Support multilingual and multi-region product discovery