This customer service AI agent serve customer with their queries on shoes. Find customer information, their shoe size, stocks and book order.
customer's can chat with the Customer service AI agent in natual language, the LLM model understand their queries and take action on it. E-g get customer information, show inventory and place order.
- Ask customer for their shoe preferences
- Uses Generative AI (LLM) to understand and take action on Natural language
- Serverless, scalable, and cloud-native
This is just a starting point; it can be expanded to full shopping agent.
The solution is built using AWS Lambda, S3, AWS Bedrock agent. Infrastructure is managed via Terraform.
![Architecture Diagram]
- Python: 3.10
- AWS S3: Storage for DB
- AWS Lambda: Backend compute, interact with the Database
- AWS Bedrock: Generative AI agent for calling this tool.
- Terraform: Infrastructure as Code
GitHub: https://github.com/m3dcodie/customer_service_agent
This project is licensed under the MIT License. You are free to fork and modify the code, but attribution to the original author is required in your derived works.
Author: Suhail T