Optimize classroom schedules and resolve conflicts with GPT-4o and Google Calendar — n8n Workflow

High complexity⏰ Scheduled27 nodes🏷️ Project Managementby Cheng Siong Chin

Overview

How It Works This workflow automates competitive intelligence gathering and market analysis for businesses needing real-time insights on competitors, industry trends, and market positioning. Designed for marketing teams, strategy analysts, and business development professionals, it solves the time-intensive challenge of manually monitoring competitor activities across multiple channels. The system schedules regular data collection, fetches competitor information from various sources, employs mul

Nodes used

Send EmailSlackCodeAI AgentOpenAI Chat ModelStructured Output ParserCode ToolAI Agent Tool

Workflow Preview

Setup Steps
1. Connect Schedule Trigger (set monitoring frequency:
2. Configure Fetch Data node with competitor website UR
3. Add OpenAI API keys to all AI agent no
Prerequisites
OpenAI API account (GPT-4 recommended), competitor data
Use Cases
SaaS competitor feature tracking, retail pricing intell
Customization
Modify AI prompts for
How It Works
This workflow automates competitive intelligence gather
Report Generation & Distribution
Why: Delivers actionable intelligence to decision-maker
Multi-Agent AI Analysis
Why: Delivers expert-level analysis across multiple dim
Automated Data Collection
Why: Schedule trigger initiates competitor data fetchin
Intelligent Routing & Validation
Why: Ensures data quality and prioritizes critical insi
toolparserparsermodeltoolmodelparsertoolparsermodelmodel
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S
Schedule Trigger
W
Workflow Configuration
P
Prepare Scheduling Data
OpenAI Model - Resource …
Resource Analysis Output…
Resource Analysis Agent
OpenAI Model - Operation…
Operations Output Parser
Operations Agent
R
Route by Severity
Notify Critical Conflicts
Email Scheduling Recomme…
Log Results
OpenAI Model - Optimizat…
Optimization Output Parser
Schedule Optimization Ag…
Conflict Score Calculato…
G
Google Calendar Tool
Calculate Historical Pat…
M
Merge Analysis Results
C
Check Auto-Resolution Po…
A
Apply Auto-Resolution
Generate Conflict Report
M
Merge Resolution Paths
Master Orchestrator Agent
OpenAI Model - Master Or…
Master Orchestrator Outp…
27 nodes31 edges

How it Works

  1. 1

    Trigger

    The workflow starts with a scheduled trigger, running on a defined schedule.

  2. 2

    Process

    Data flows through 27 nodes, connecting agent, agenttool, code.

  3. 3

    Output

    The workflow completes its automation and delivers the result to the configured destination.

Node Details (27)

SE

Send Email

emailSend

#1
SL

Slack

slack

#2
CO

Code

code

#3
AI

AI Agent

n8n-nodes-langchain.agent

#4
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#5
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#6
CO

Code Tool

n8n-nodes-langchain.toolCode

#7
AI

AI Agent Tool

n8n-nodes-langchain.agentTool

#8

How to Import This Workflow

  1. 1Click Download JSON button on the right to save the workflow file.
  2. 2Open your n8n instance. Go to Workflows → New → Import from file.
  3. 3Select the downloaded optimize-classroom-schedules-and-resolve-conflicts-with-gpt-4o-and-google-calendar file and click Import.
  4. 4Set up credentials for each service node (API keys, OAuth, etc.).
  5. 5Click Test Workflow to verify everything works, then activate it.

Or paste directly in n8n → Import from JSON:

{ "name": "Optimize classroom schedules and resolve conflicts with GPT-4o and Google Calendar", "nodes": [...], ...}

Integrations

agentagenttoolcodeemailsendgooglecalendartooliflmchatopenaimergeoutputparserstructuredscheduletriggersetslackswitchtoolcode

Get This Workflow

Download and import in one click

Download JSONView on n8n.io
Nodes27
Complexityhigh
Triggerscheduled
CategoryProject Management

Created by

Cheng Siong Chin

Cheng Siong Chin

@cschin

Tags

agentagenttoolcodeemailsendgooglecalendartooliflmchatopenaimergeoutputparserstructuredscheduletrigger
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