Restaurant Chat to Google Sheets
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Parses restaurant chat messages to extract order details and logs them into a Google Sheet.
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About This Workflow
Overview
This workflow automates the process of capturing customer orders from chat messages, extracting key information such as items, quantities, and table numbers, and then securely storing this data in a Google Sheet. It's designed for restaurants looking to streamline their order taking and logging process.
Key Features
- Extracts order items, quantities, and table numbers from unstructured chat text.
- Leverages an AI model for initial data interpretation.
- Uses a code node to precisely parse and structure extracted data.
- Integrates with Google Sheets to log order details in real-time.
- Includes error handling with an If node to manage cases where extraction fails.
How To Use
- Trigger Setup: Configure the
When chat message receivednode (or equivalent webhook trigger) to receive incoming chat messages. - Information Extraction: Ensure the
Information Extractornode is correctly configured with patterns to identify items, quantities, and table numbers. The AI Chat node might precede this for initial interpretation. - Data Structuring: The
Codenode parses the extracted data. Adjust the Python code if your extraction patterns differ significantly. - Conditional Processing: The
If Nodechecks if extraction was successful. If not, the workflow branches accordingly. - Google Sheets Integration: Set up the
Google Sheetsnode by authorizing your Google account and specifying the target Sheet name and Sheet ID (or gid). - Looping and Appending: The
Loop Over Itemsnode (e.g.,splitInBatches) ensures each extracted order item is processed individually and appended as a new row to the Google Sheet. TheTimestampis automatically added.
Apps Used
Workflow JSON
{
"id": "c6ac1cec-1179-46ad-ab0b-4af6e9b2ecf1",
"name": "Restaurant Chat to Google Sheets",
"nodes": 0,
"category": "Data Handling",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: c6ac1cec-1179...
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