← CookbookView source on GitHub ↗

AI Data Analyst Chatbot for E-Commerce Analytics

A production-grade AI Data Analyst Chatbot workflow for n8n, leveraging Nebius Token Factory's DeepSeek-V3-0324-fast LLM for advanced, structured data analysis and Google Workspace automation.

This repository demonstrates a generic e-commerce analytics agent use case—no brand-specific logic or data is included. The workflow can be adapted to any e-commerce or transactional business scenario.

Workflow Diagram


🛠️ Architecture Overview


⚙️ Workflow Deep Dive

This solution is designed for e-commerce analytics, but can be adapted to any transactional data scenario. The workflow includes: - Chat message trigger (When chat message received) - LLM-powered agent for structured reasoning (AI Agent) - Google Sheets/Docs integration for data and reporting (Get transactions by status, Get transactions by product name, Get all transactions, Document Strategy) - Memory and output parsing for robust automation (Buffer Memory, Structured Output Parser) - Decision and routing logic (If, If1, If2, Merge, Set)

For technical implementation, node configuration, and code examples, see Cookbook.md.


🧩 Example Use Cases


🧑‍💻 Model & Security Details


🚀 Quick Start

  1. Import ecommerce-analytics-agent-workflow.json into n8n.
  2. Configure Nebius and Google credentials as described in Cookbook.md.
  3. Replace the Google Sheets/Docs URLs with your own.
  4. Activate the workflow and interact via the n8n chat interface or webhook.

📚 Resources


Contributions welcome!