Introduction to SynapseAI

Welcome to SynapseAI - an intelligent B2B wholesale commerce platform that transforms how CPG brands handle ordering, inventory management, and customer interactions.

What is SynapseAI?

SynapseAI is a conversational AI platform built on LangGraph that enables:

• 🤖 Natural Language Ordering - Let customers order through conversation
• 📊 Predictive Analytics - AI-powered demand forecasting and inventory optimization
• 🎯 Smart Campaign Management - Automated promotion creation and targeting
• 💬 Multi-Channel Support - Web, voice, and WhatsApp interfaces
• 🔄 Human-in-the-Loop - Approval workflows for high-value decisions

Demo: FlavorFlux Brand

Throughout this documentation, we use FlavorFlux - a fictional adaptive CPG yogurt drink brand - to demonstrate SynapseAI's capabilities.

Who is This For?

This documentation is designed for:

👨‍💻 Developers

Setting up, customizing, and extending the SynapseAI platform

🏗️ DevOps Engineers

Deploying and managing infrastructure on AWS

🎨 Product Managers

Understanding capabilities and user scenarios

🔧 Integration Engineers

Connecting external services and APIs

Documentation Structure

1. Setup & Installation

Step-by-step guides to get SynapseAI running locally:

• Prerequisites and environment setup
• Backend installation and configuration
• Frontend setup and development
• MCP servers configuration

2. Architecture & Design

Understand how SynapseAI works:

• System architecture overview
• LangGraph agent design
• C4 model diagrams
• Integration patterns

3. Features & Scenarios

Learn about capabilities:

• User personas and workflows
• Conversational AI features
• Campaign management
• Inventory optimization

4. Deployment

Take SynapseAI to production:

• AWS infrastructure setup
• Terraform configuration
• Frontend deployment
• Security and scaling

5. API Reference

Technical API documentation:

• Chat API endpoints
• Authentication
• Campaign management APIs
• Webhook integration

6. Tools & Utilities

Maintenance and helper scripts:

• Data synchronization
• Database migrations
• Monitoring tools

Quick Start Paths

Path 1: Try It Locally (30 minutes)

1. Install prerequisites
2. Run with Docker Compose
3. Access the chat interface
4. Try example conversations

Start here: Quick Start Guide

Path 2: Full Development Setup (2 hours)

1. Set up development environment
2. Install backend and frontend separately
3. Configure MCP servers
4. Enable debugging and hot reload

Start here: Prerequisites

Path 3: Deploy to Production (4 hours)

1. Review architecture
2. Configure AWS credentials
3. Deploy with Terraform
4. Set up monitoring

Start here: Deployment Guide

Key Technologies

External Integrations

SynapseAI integrates with best-in-class services:

• Commercetools - E-commerce and product catalog
• Voucherify - Promotions and loyalty programs
• AWS Services - Cloud infrastructure and AI

Support & Community

Getting Help

• 📖 Documentation: You're reading it!
• 💬 Slack: #synapseai-support
• 📧 Email: support@synapseai.com
• 🐛 Issues: GitHub Issue Tracker

Contributing

This is an internal project. Contact the development team for contribution guidelines.

What's Next?

Ready to get started? Choose your path:

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Platform Version: 1.0.0
Last Updated: November 2024