tools
Constructor AI Shopping Agent
IA conversazionale per siti di e-commerce che aiuta chi fa acquisti a scoprire prodotti, risponde alle domande e affina i suggerimenti.

In inglese
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
Pros
Cons
Capabilities
- Connects your tools — “Yes, it integrates well with multiple platforms and other components of your ecommerce tech stack.” source
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Pricing
- Prices checked
- 2026-11-08
Enterprise
Price on request
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