MogineBot - AI Sales Agent

Inspiration

Traditional customer service is limited by business hours and human capacity. We envisioned an AI sales agent that could provide instant, intelligent responses 24/7 while understanding complex customer needs through advanced intent analysis.

What it does

MogineBot is an enterprise-ready AI sales assistant that:

  • Provides real-time streaming responses using Doubao and DashScope APIs
  • Searches company knowledge base with vector similarity matching
  • Analyzes customer intent and decomposes complex queries
  • Tracks user interactions with comprehensive analytics dashboard
  • Operates 24/7 with production-grade deployment

How we built it

  • Backend: Python FastAPI with async architecture
  • AI Integration: Multi-LLM approach (Doubao + DashScope) for robust responses
  • Knowledge Base: ChromaDB for vector-based semantic search
  • Frontend: Vanilla JavaScript with Server-Sent Events for streaming
  • Analytics: SQLite logging with real-time dashboard
  • Deployment: PM2 process management with Nginx SSL proxy
  • Architecture: 4 microservices for scalability and maintainability

Challenges we ran into

  • Streaming Implementation: Coordinating real-time responses across multiple LLM APIs
  • Intent Analysis: Building reliable query decomposition without over-engineering
  • Production Deployment: Configuring secure, scalable infrastructure with proper port management
  • Large File Handling: Managing media assets within GitHub's constraints

Accomplishments that we're proud of

  • Production-Ready: Fully deployed system running at https://wingsai.cn/~temp/mogine_agent/
  • Open Source: Complete codebase available on GitHub with comprehensive documentation
  • Enterprise Features: Analytics, logging, security, and monitoring built-in
  • Performance: Sub-second response times with streaming UX
  • Scalability: Microservices architecture ready for enterprise deployment

What we learned

  • Multi-LLM integration provides better reliability than single-provider solutions
  • Vector search significantly improves response accuracy for domain-specific queries
  • Streaming responses dramatically enhance user experience perception
  • Production deployment requires careful consideration of security and monitoring
  • Comprehensive logging is essential for continuous improvement

What's next for Sales Agent for your company

  • Multi-language Support: Expand beyond Chinese/English to global markets
  • Voice Integration: Add speech-to-text and text-to-speech capabilities
  • Advanced Analytics: Machine learning insights for customer behavior prediction
  • API Marketplace: Plugin system for third-party integrations
  • Mobile App: Native iOS/Android applications
  • Enterprise SaaS: White-label solution for other companies

Built With

Share this project:

Updates

Submission history