Deep integration solutions for customer service scenarios:
Stage 1: Memory Construction
1. Adoption/memory/storeInterface homing:
- Order history (automatically synchronized from ERP system)
- Dialogue transcripts (including results of sentiment analysis)
2. Utilizationenhance_memoryPlug-in reinforcement of key features:
- Labeling of "high value customers" (annual spending >50,000)
- Recognize patterns of complaints (e.g., "frequent logistical inquiries")
Stage 2: Intelligent Response
1. Automatic context injection:
- When the user inquires about "order status", the last three logistics complaints are automatically associated with the record.
2. Personalized speech generation:
- Automatic service level upgrade for important customers (e.g., priority access to manual)
- Adaptation of the tone of the response to historical communication styles (formal/familiar)
Effectiveness Verification
Early adopter data shows:
- Customer Satisfaction (NPS) Improvement 22%
- Reduction in average processing time by 37%
The key is to configure a reasonable memory expiration policy (e.g., promotional messages automatically expire in 30 days).
This answer comes from the articleDeep Recall: an open source tool that provides an enterprise-class memory framework for large modelsThe
