Conversational agent data
High-quality and up-to-date product data improves Conversational agent's responses. Conversational agent uses three types of data to generate accurate, contextual responses: product feed data, customer profile data, and data sources.
Product feed data
Product feed data contains your catalog information—product names, descriptions, prices, availability, and attributes.
Product data helps Conversational agent understand what you sell and recommend relevant products to shoppers. Ensure you send the mandatory product catalog attributes in your product feed.
Customer profile data
Customer profile data from Marketing includes browsing behavior, purchase history, preferences, and engagement patterns. Conversational agent uses this information to
- Personalize responses based on individual customer context and needs.
- Tailor product recommendations to match shopper interests and shopping patterns.
Data sources
Data sources hold information that isn't tied to specific products or shoppers, such as FAQs, brand stories, size guides, and merchant policies.
Together with your business context, this general knowledge helps Conversational agent answer questions about your business, explain product features, and give guidance beyond basic product details. Business context is set per agent, so add it to each agent's general settings. Learn how to add business context.
NoteProvide product catalog and general knowledge data in your local language. Conversational agent doesn't translate the data.
Updated 6 days ago