AI CRM Platform

A comprehensive AI-powered CRM platform with intelligent nurturing, analytics, and automation capabilities built with Encore.ts and React.

Features

• 🤖 AI-powered lead scoring and recommendations
• 📧 Intelligent email nurturing sequences
• 📊 Advanced analytics and reporting
• 🔗 HubSpot integration
• 💳 Stripe payment processing
• 🛡️ GDPR compliance tools
• 🚀 Real-time notifications
• 📈 Performance monitoring

Tech Stack

• Backend: Encore.ts, TypeScript, PostgreSQL, Redis
• Frontend: React, TypeScript, Tailwind CSS, shadcn/ui
• Testing: Vitest
• Deployment: Docker, GitHub Actions

Getting Started

Prerequisites

• Node.js 18+
• Docker & Docker Compose
• Encore CLI

Installation

1. Clone the repository:

git clone <repository-url>
cd ai-crm-platform

2. Install dependencies:

npm install

3. Set up environment variables:

cp .env.example .env
# Edit .env with your configuration

4. Start the development environment:

# Using Docker Compose
docker-compose --profile dev up

# Or run locally
npm run dev

Deployment

Docker

Build and run with Docker:

# Build image
docker build -t ai-crm-platform .

# Run container
docker run -p 4000:4000 ai-crm-platform

Using Docker Compose

# Production
docker-compose up

# Development
docker-compose --profile dev up

Encore.ts Cloud

# Deploy to staging
npm run deploy:staging

# Deploy to production
npm run deploy:prod

Scripts

• npm run dev - Start development server
• npm run build - Build for production
• npm run start - Start production server
• npm test - Run tests
• npm run lint - Lint code
• npm run type-check - Type checking

API Documentation

The API is built with Encore.ts and provides the following services:

• Agent: AI agent management and control
• AI CRM: Core CRM functionality with AI features
• Analytics: Business intelligence and reporting
• Auth: Authentication and authorization
• Email: Email campaigns and templates
• Payment: Stripe integration for billing
• HubSpot: CRM integration
• Nurturing: Intelligent lead nurturing
• Scoring: AI-powered lead scoring

Environment Variables

See .env.example for all available environment variables.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

License

MIT License - see LICENSE file for details.