Scenario requirements
E-commerce customer service needs to memorize the user's purchase history and preferences to maintain service continuity even if the session is interrupted.
Realization of the program
Utilizing Convo's long-term memory system:
- Structured memory storage: Store preferences, orders, complaint records, etc., categorized by user IDs
- Automatic session association: New sessions with the same user automatically inherit the historical context
- Real-time memory update: Dynamically update user profiles during conversations
Implementation steps
- Create a memory template to define the data fields to be stored
- Triggered in a dialog flow
update_user_profile()methodologies - pass (a bill or inspection etc)
get_user_context()Get a complete user profile - Configure memory expiration date to avoid data obsolescence
increased effectiveness
It can be combined with recommendation algorithms to generate personalized product recommendation statements in real time based on memory data.
This answer comes from the articleConvo: Logging and Debugging Tools for Building Intelligent AI AgentsThe
May not be reproduced without permission:AI productivity tools " How to achieve user personalization across sessions in e-commerce customer service scenarios?
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