Project overview
Patti AI is an AI-powered customer engagement platform built for automotive dealerships. It automates customer conversations across website chat, email, and SMS — helping dealerships manage inventory inquiries, schedule appointments, qualify leads, and deliver faster customer support.
Implementation details
About the Platform:
Patti AI helps automotive businesses streamline customer communication using conversational AI and workflow automation. The platform can answer real-time inventory questions, assist users in booking service appointments or test drives, and continue customer engagement through intelligent email and SMS conversations.
Designed for dealership operations, the system reduces manual support effort while improving lead response time and customer experience. The platform integrates AI-driven conversation handling with backend automation to support scalable customer interactions across multiple channels.
Key Contributions:
- Built scalable backend services using Python and Django
- Developed AI-powered conversational workflows for automotive use cases
- Implemented email and SMS automation pipelines
- Designed asynchronous task processing for messaging and scheduling workflows
- Integrated OpenAI APIs for intelligent customer interactions
- Built appointment scheduling and lead management automation
- Improved system reliability and performance using Celery-based background workers
- Developed APIs to support multi-channel communication systems
Tech Stack:
- Python
- Flask / Fast API
- OpenAI API
- Celery
- Redis
- Airtable
- Twilio / SMS Gateway Integration
- Email Automation Systems
- Render