AI-Powered Google Analytics Financial Report Generator
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This workflow transforms your n8n instance into an intelligent financial assistant, leveraging AI to automatically fetch and summarize Google Analytics data for customized reports. Simply chat with the AI to get immediate insights into your current, monthly, or yearly financial performance.
About This Workflow
Empower your team with an AI accountant right within n8n! This sophisticated workflow utilizes a DeepSeek Chat Model and Langchain Agent to act as your company's financial expert. It intelligently processes chat messages, extracts key date ranges (current, last month, last year), and dynamically calls a sub-workflow to retrieve specific Google Analytics data. The AI then synthesizes this information, provides comparisons, and outputs a structured JSON report, streamlining your financial analysis and reporting processes. It even maintains conversation memory for a more natural interaction.
Key Features
- Conversational AI Assistant: Interact with an AI agent personified as a company accountant via chat.
- Dynamic Data Retrieval: AI intelligently parses date requests and triggers a sub-workflow to fetch relevant Google Analytics data.
- Advanced LLM Integration: Powered by the DeepSeek Chat Model for accurate understanding and generation.
- Contextual Memory: Maintains conversation history for a seamless user experience.
- Structured JSON Output: Delivers financial reports in a clear, machine-readable JSON format with specific date ranges.
- Modular Workflow Design: Utilizes a nested workflow for efficient data fetching from Google Analytics.
How To Use
- Set up the Chat Trigger: Configure the
When chat message receivednode to listen for incoming chat queries from your preferred platform. - Configure the AI Agent Persona: Define the
AI Agent'sSystem Messageto establish its "company accountant" persona and specify the desired JSON output format for financial reports, including all required date fields. - Integrate LLM and Memory: Connect the
DeepSeek Chat Modelas the intelligence backbone and theWindow Buffer Memoryfor conversational context across interactions. - Link the Sub-Workflow: In the
Call n8n Workflow Toolnode, select your Google Analytics data retrieval sub-workflow (e.g., "Sub flow") and map theworkflowInputsto the dynamic date variables ($fromAI('Start_Current', ...)etc.) that the AI agent will extract from user queries. - Develop the Sub-Workflow: Ensure your linked sub-workflow (starting with
When Executed by Another Workflow) is configured to accept the date parameters, query Google Analytics, and return the necessary data for the AI to process and summarize.
Apps Used
Workflow JSON
{
"id": "1db2fee4-4881-4a1e-9f37-5ac323aa65b8",
"name": "AI-Powered Google Analytics Financial Report Generator",
"nodes": 21,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 1db2fee4-4881...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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