RAG System for Customer Service
AI-powered knowledge system with Azure OpenAI for faster customer inquiries.
Duration 4 Monate
Year 2024
About the Project
Development of a Retrieval-Augmented Generation system that helps customer service agents respond quickly and accurately to customer inquiries. The system searches internal knowledge bases and generates context-aware responses.
Highlights
- 70% faster response times in customer service
- 95% accuracy in knowledge retrieval
- Integration into existing CRM system
Challenges
The challenge was ensuring response quality and handling unstructured documents in various formats.
Results
The average processing time per inquiry dropped from 12 to 4 minutes. Employee satisfaction increased significantly.
