AI Customer Support Chatbot
Product answers without the wait. A customer-facing assistant grounded in approved product and support documentation.
Problem
Manual customer support required time to locate answers in product and support documentation.
My Role
Built the customer-facing RAG chatbot within a five-person team developing order and support systems.
Solution
Connected an LLM to approved product and support documentation through hybrid search and retrieval-augmented generation.
Architecture
A conceptual view of the workflow, rather than a disclosure of internal infrastructure.
Technical Challenges
Retrieval relevance and answer quality matter when responding to customers. Detailed evaluation methodology and internal deployment details have not been provided.
Outcomes
- 90% answer accuracy.
- 95% faster responses compared with manual support.
Reported results supplied for this portfolio; not independently verified. Evaluation datasets, sample sizes, and measurement periods have not been provided.