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Case study

AI Restaurant Order Agent

A conversational AI agent that extracts structured restaurant orders from chat, processes each item through an n8n workflow, and records the results in Google Sheets.

AI AutomationWorkflow Automation
Chat-based restaurant ordering workflow using AI extraction, decision logic, item processing, and spreadsheet logging.

Overview

The agent combines a chat model, short-term conversation memory, and workflow tools to turn natural-language orders into structured records.

Problem solved

Restaurant orders received through chat are unstructured and require manual interpretation before they can be recorded.

Business impact

Automates order extraction and item-level logging while preserving conversational context.

What Scoopcodes provided

  • AI chatbot with memory and tools
  • n8n sub-workflow integration
  • JSON extraction, validation, and item splitting
  • Google Sheets order logging

Project highlights

Natural-language order understandingLast-five-conversation memoryAutomated workflow triggeringTimestamped order-item records

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