AI-Powered Order Extraction & Google Sheets Logging
detail.loadingPreview
Automate the tedious task of processing customer orders by intelligently extracting key information like items, quantities, and table numbers from natural language input. This workflow then seamlessly logs each order item into a Google Sheet, streamlining your operations and ensuring accurate record-keeping.
About This Workflow
This n8n workflow leverages the power of AI to transform unstructured text into structured order data. It begins by using an AI-driven Information Extractor to identify specific items, quantities, and table numbers based on predefined patterns. If data is successfully extracted, a custom Python Code node refines and separates individual order items, even when multiple items are requested in a single input. Finally, each refined order item is automatically appended to a designated Google Sheet, complete with a timestamp. This eliminates manual data entry, reduces errors, and frees up your team to focus on serving customers.
Key Features
- Intelligent Data Extraction: Utilizes AI with regex patterns to accurately pull item names, quantities, and table numbers from textual queries.
- Multi-Item Processing: Automatically parses and structures individual items from a single, complex order request.
- Seamless Google Sheets Integration: Logs all extracted and structured order data directly into your specified Google Sheet, providing a centralized and accessible record.
- Real-time Logging: Records a timestamp for each entry, ensuring precise tracking of order placement.
- Error Handling: Gracefully handles cases where no relevant information can be extracted, preventing workflow failures.
How To Use
- Configure the
Information Extractornode: Update thejsonSchemaExamplewith patterns specific to the items, quantities, and other relevant entities you need to extract from your input text. - Adjust the
Codenode (if necessary): While designed for flexibility, review the Python code to ensure it correctly maps and structures the extracted data according to your specific needs, especially if your extraction schema changes significantly. - Set up
Google Sheetscredentials: Provide your Google Sheets API credentials and specify the URL of your target spreadsheet and the desired sheet name (Order logis pre-configured). - Define your input source: Connect an upstream node (e.g., a Webhook, Email, or another LLM node) that will provide the textual
queryinput to theInformation Extractor.
Apps Used
Workflow JSON
{
"id": "5483d1b7-b144-45d5-bda9-45fe1043a3f1",
"name": "AI-Powered Order Extraction & Google Sheets Logging",
"nodes": 17,
"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: 5483d1b7-b144...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
Statistics
Related Workflows
Discover more workflows you might like
Google Sheets to Icypeas: Automated Bulk Domain Scanning
This workflow streamlines the process of performing bulk domain scans by integrating your Google Sheets data directly with the Icypeas platform. Automate the submission of company names from your spreadsheet to Icypeas for comprehensive domain information, saving valuable time and effort.
Instant WooCommerce Order Notifications via Telegram
When a new order is placed on your WooCommerce store, instantly receive detailed notifications directly to your Telegram chat. Stay on top of your e-commerce operations with real-time alerts, including order specifics and a direct link to view the order.
On-Demand Microsoft SQL Query Execution
This workflow allows you to manually trigger and execute any SQL query against your Microsoft SQL Server database. Perfect for ad-hoc data lookups, administrative tasks, or quick tests, giving you direct control over your database operations.