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Case study

Restaurant Chat AI Processing Workflow

An AI-powered restaurant chat workflow that parses incoming orders, applies business logic, processes individual items, and records structured data in Google Sheets.

AI AutomationWorkflow Automation
Restaurant chat flowing through an AI core, extraction rules, item loops, and Google Sheets recording.

Overview

A visual automation architecture for converting conversational restaurant requests into structured and processable order data.

Problem solved

Free-form customer messages must be converted into consistent fields such as item, quantity, and table before downstream processing.

Business impact

Creates a structured bridge between conversational ordering and operational record keeping.

What Scoopcodes provided

  • AI-powered chat processing
  • Conversation memory
  • Conditional and code-based workflow logic
  • Item-by-item Google Sheets integration

Project highlights

Item extractionQuantity extractionTable identificationStructured spreadsheet records

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