AI-Powered Order Logging to Google Sheets
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Automate order processing by intelligently extracting critical details like items, quantities, and table numbers from natural language input using AI. This n8n workflow then cleanly logs each order item into a Google Sheet, streamlining your operational data entry and order tracking.
About This Workflow
This powerful n8n workflow leverages the intelligence of Large Language Models (LLMs) to transform unstructured natural language order requests into structured, actionable data. It intelligently identifies specific order details such as menu items, their quantities, and associated table numbers from free-form text. After extracting this crucial information, the workflow processes multiple items from a single request and systematically logs each entry into a designated Google Sheet. This solution eliminates manual data entry, significantly reduces errors, and provides a real-time, organized log for efficient order management and enhanced operational oversight.
Key Features
- AI-Powered Information Extraction: Automatically extracts key order details like items, quantities, and table numbers from free-form text using Langchain's
Information Extractornode. - Multi-Item Order Processing: Handles and individually logs multiple distinct items mentioned within a single natural language order request.
- Conditional Logic for Data Validation: Intelligently checks for successful data extraction, ensuring that the workflow only proceeds when valid information is found.
- Automated Google Sheets Logging: Appends structured order data (Item, Quantity, Table No, Timestamp) directly to a specified Google Sheet, acting as a real-time order log.
- Custom Python Logic for Data Refinement: Utilizes custom code to accurately parse and prepare complex extracted data for consistent and error-free logging.
How To Use
- Configure
Information Extractor:- Connect this node to your desired input source (e.g., a Webhook for incoming messages, a chatbot integration). Ensure the
textfield is set to capture your natural language order input (e.g.,={{ $json.query }}). - Review and adjust the
jsonSchemaExamplewithin the node's parameters. This schema defines the patterns foritems,quantity, andtablethat the AI should extract from your text, allowing you to tailor it to your specific business context.
- Connect this node to your desired input source (e.g., a Webhook for incoming messages, a chatbot integration). Ensure the
- Set up
Google Sheets:- Authenticate your Google Sheets account using an n8n credential. This will enable secure access to your spreadsheets.
- Specify the
Document ID(the full URL of your target spreadsheet) and theSheet Name(e.g., 'Order log' or 'gid=0' for the first sheet). - Verify that the
columnsmapping (Item,Quantity,Table No,Timestamp) accurately aligns with the column headers in your Google Sheet to ensure data is appended correctly.
- Customize
Code(Python):- The existing Python
Codenode is designed to process multiple extracted items into individual JSON objects. If your extraction patterns or the desired output structure from theInformation Extractordiffer significantly, you may need to modify the Python code to accurately parse theextract_dataand format it into the expected item-specific JSON output.
- The existing Python
- Connect
OpenAI Chat Model(Optional):- While not strictly required for the core extraction, if you need to perform additional LLM-powered tasks like pre-processing natural language input for clarity (e.g., clarifying ambiguous requests before extraction) or post-processing (e.g., generating order confirmation messages), configure the
OpenAI Chat Modelwith your desired prompts and model (gpt-4o-miniis used in this example) and integrate it into your workflow.
- While not strictly required for the core extraction, if you need to perform additional LLM-powered tasks like pre-processing natural language input for clarity (e.g., clarifying ambiguous requests before extraction) or post-processing (e.g., generating order confirmation messages), configure the
Apps Used
Workflow JSON
{
"id": "214de6e4-1159-4e20-9231-fdb57db4a430",
"name": "AI-Powered Order Logging to Google Sheets",
"nodes": 16,
"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: 214de6e4-1159...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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