This n8n workflow intelligently processes incoming text queries to extract specific beverage orders. It utilizes the "Information Extractor" node to identify common drink items like lattes, coffees, teas, and cappuccinos, along with their quantities, from natural language input. The extracted information is then potentially augmented or further understood by an "LM Chat Open AI" node, allowing for more advanced natural language processing or response generation. An "If" node provides conditional logic, enabling the workflow to execute different paths based on the success of the extraction or the AI's analysis. This workflow is ideal for automating order taking, customer service interactions, or data collection in beverage-focused businesses, converting unstructured text into actionable, structured data for efficient processing.
Free n8n workflow template ready to import
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Click the "Download Workflow" button above to get the JSON file.
In your n8n instance, go to Workflows → Import and select the JSON file.
Set up your @n8n/n8n-nodes-langchain.information Extractor and other service credentials in n8n.
Activate the workflow and test it to ensure everything works correctly.
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