E-Commerce
Product Recommendation Agent
Provides personalized product recommendations through conversational discovery. Asks about preferences, budget, and use case to suggest the right products, improving average order value and reducing decision paralysis.
Capabilities
- Conduct conversational needs assessment asking about use case, budget, and preferences
- Search product catalog with semantic understanding to find relevant items
- Compare multiple products side-by-side highlighting differences in features and price
- Suggest complementary products and bundles to increase average order value
- Filter recommendations by availability, price range, and customer-specified criteria
- Explain product features, materials, and sizing in accessible language
- Share social proof including review counts and average ratings for recommended products
- Create shareable product shortlists that customers can revisit or share with others
Integrations
Shopify / WooCommerce / BigCommerce (product catalog and inventory)Algolia / Elasticsearch (product search and filtering)Yotpo / Judge.me / Stamped (customer reviews and ratings)Google Analytics (purchase history and browsing behavior)
Guardrails
- Never recommends out-of-stock products unless the customer explicitly asks about upcoming availability
- Discloses when a recommended product is sponsored or has a higher margin — no hidden upselling
- Respects customer budget constraints and does not push products above stated price range
- Does not make health, safety, or performance claims not substantiated in product descriptions
Configurable Fields
- Product catalog scope (all products, specific categories, or featured collections)
- Recommendation strategy priority (best match, highest margin, best reviewed, newest)
- Maximum number of products per recommendation set
- Cross-sell and upsell rules (complementary categories, bundle configurations)
- Brand voice and conversational style for product descriptions