Automate restaurant sales & inventory forecasting with Gemini AI & Google Sheets

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This automated n8n workflow performs weekly forecasting of restaurant sales and raw material requirements using historical data from Google Sheets and AI predictions powered by Google Gemini. The f...

Best for

Document Extraction automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.googlesheets, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolthink, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.gmail

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Oneclick AI Squad.

Original n8n.io source

1.1 Workflow description

Title: Automate restaurant sales & inventory forecasting with Gemini AI & Google Sheets
Workflow name: Automate restaurant sales & inventory forecasting with Gemini AI & Google Sheets

What is Google Gemini AI?

Google Gemini is an advanced AI model that analyzes historical sales data, seasonal patterns, and market trends to generate accurate forecasts for restaurant sales and inventory requirements, helping optimize purchasing decisions and reduce waste.

Good to Know

Google Gemini AI forecasting accuracy improves over time with more historical data
Weekly forecasting provides better strategic planning compared to daily predictions
Google Sheets access must be properly authorized to avoid data sync issues
Email notifications ensure timely review of weekly forecasts by stakeholders
The system analyzes trends and predicts upcoming needs for efficient planning and waste reduction

How It Works

Trigger Weekly Forecast - Automatically starts the workflow every week at a scheduled time
Load Historical Sales Data - Pulls weekly sales and material usage data from Google Sheets
Format Input for AI Agent - Transforms raw data into a structured format suitable for the AI Agent
Generate Forecast with AI - Uses Gemini AI to analyze trends and predict upcoming needs
Interpret AI Forecast Output - Parses the AI's response into readable, usable JSON format
Log Forecast to Google Sheets - Stores the new forecast data back into a Google Sheet
Email Forecast Summary - Sends a summary of the forecast via Gmail for stakeholder review

Data Sources

The workflow utilizes Google Sheets as the primary data source:

Historical Sales Data Sheet - Contains weekly sales and inventory data with columns:
- Week/Date (date)
- Menu Item (text)
- Sales Quantity (number)
- Revenue (currency)
- Raw Material Used (number)
- Inventory Level (number)
- Category (text)
Forecast Output Sheet - Contains AI-generated predictions with columns:
- Forecast Week (date)
- Menu Item (text)
- Predicted Sales (number)
- Recommended Inventory (number)
- Material Requirements (number)
- Confidence Level (percentage)
- Notes (text)

How to Use

Import the workflow into n8n
Configure Google Sheets API access and authorize the application
Set up Gmail credentials for forecast report delivery
Create the required Google Sheets with the specified column structures
Configure Google Gemini AI API credentials
Test with sample historical sales data to verify predictions and email delivery
Adjust forecasting parameters based on your restaurant's specific needs
Monitor and refine the system based on actual vs. predicted results

Requirements

Google Sheets API access
Gmail API credentials
Google Gemini AI API credentials
Historical sales and inventory data for initial training

Customizing This Workflow

Modify the Generate Forecast with AI node to focus on specific menu categories, seasonal adjustments, or local market conditions. Adjust the email summary format to match your restaurant's reporting preferences and add additional data sources like supplier information, weather data, or special events calendar for more accurate predictions.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Workflow Explanation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Trigger Weekly Forecast

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 3 - Load Historical Sales Data

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 4 - Format Input for AI Agent

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 5 - Generate Forecast with AI

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.9

Block 6 - AI Think Tool

Type / Role: @n8n/n8n-nodes-langchain.toolThink - toolThink
Config choices: Version 1

Block 7 - Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 8 - Interpret AI Forecast Output

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 9 - Log Forecast to Google Sheets

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 10 - Email Forecast Summary

Type / Role: n8n-nodes-base.gmail - gmail
Config choices: Version 2.1

Block 11 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Automate restaurant sales & inventory forecasting with Gemini AI & Google Sheets
Complexity	advanced
Nodes	17
Categories	Document Extraction, AI Summarization
Author	Oneclick AI Squad
Published	14 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5983/5983.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Automate restaurant sales & inventory forecasting with Gemini AI & Google Sheets do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.

Oneclick AI Squad

224 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.scheduletrigger n8n-nodes-base.googlesheets n8n-nodes-base.code @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.toolthink @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.gmail

Complexity

advanced

Published 14 Jul 2025

Likes 0

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Install path: /data/workflows/5983/5983.json

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Automate restaurant sales & inventory forecasting with Gemini AI & Google Sheets

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

What is Google Gemini AI?

Good to Know

How It Works

Data Sources

How to Use

Requirements

Customizing This Workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Workflow Explanation

Block 2 - Trigger Weekly Forecast

Block 3 - Load Historical Sales Data

Block 4 - Format Input for AI Agent

Block 5 - Generate Forecast with AI

Block 6 - AI Think Tool

Block 7 - Chat Model

Block 8 - Interpret AI Forecast Output

Block 9 - Log Forecast to Google Sheets

Block 10 - Email Forecast Summary

Block 11 - Sticky Note

Block 12 - Sticky Note1

Block 13 - Sticky Note2

Block 14 - Sticky Note3

Block 15 - Sticky Note4

Block 16 - Sticky Note5

Block 17 - Sticky Note6

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions