Conversational Commerce and Marketing
A messaging-based sales process where buyers can discover products, ask questions, and get purchase help through conversational channels.
Business impact
- user feedback — BrainLogic reports more than 90% positive user feedback after launching with Claude on Vertex AI.
- user growth — BrainLogic says the system helped it surpass 2.5 million users in its first year.
Data requirements
- customer questions and conversation context (text) — The assistant processes user prompts and ongoing conversation history.
- Google Search results (text) — The system searches external information sources for answers.
- business websites (text) — It reads product and store information from business sites.
- direct seller information (text) — It can consult information from sellers to answer purchase questions.
AI methods and techniques
- conversational question answering — The assistant responds to customer questions and retrieves answers from multiple sources.
- recommendation generation — It suggests products and where to find them when users ask for purchase guidance.
- routing and escalation — Queries are routed to the model best suited to answer them, and some are escalated to human employees for help.
AI models and model families
Claude 3 Haiku, Claude 3.5 Sonnet, Claude 3 Opus
Industries
Real-world evidence
2 documented case studies on record.
Companies using this: BrainLogic, Runhappy.
View the full profile with evidence, implementation detail, and comparison tools
Explore full use case →
Explore full use case →