Quote freight shipments via WhatsApp with Google Gemini, HighLevel, and Warp

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1. Workflow Overview

Quick overview Youtube Video: https://youtu.be/kO4LgKT6oME?si=VpUEz2LKuxMujrUp This workflow receives WhatsApp messages, checks the sender in HighLevel, and uses Google Gemini with Redis chat memor...

Best for

Lead Nurturing automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.whatsapptrigger, n8n-nodes-base.if, n8n-nodes-base.highlevel, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.highleveltool, @n8n/n8n-nodes-langchain.outputparserstructured

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Quote freight shipments via WhatsApp with Google Gemini, HighLevel, and Warp
Workflow name: Quote freight shipments via WhatsApp with Google Gemini, HighLevel, and Warp

Quick overview

Youtube Video: https://youtu.be/kO4LgKT6oME?si=VpUEz2LKuxMujrUp This workflow receives WhatsApp messages, checks the sender in HighLevel, and uses Google Gemini with Redis chat memory to collect shipment details, then requests an LTL quote from the Warp API, applies a commission, and replies with either a conversational prompt or a final freight quote.

How it works

Receives an incoming WhatsApp message and only continues when the text body is not empty.
Looks up the sender’s phone number in HighLevel and stops contacts marked as Do Not Disturb from being processed further.
Uses a Google Gemini-powered agent with Redis chat memory to ask for missing contact and freight details in a fixed order, optionally creating the HighLevel contact or marking the lead as DND when the user opts out.
Parses the agent’s structured JSON output and checks whether the required shipment data collection is complete.
If data is incomplete, sends the agent’s conversational reply back to the user via WhatsApp.
If data is complete, posts the shipment details to the Warp LTL quote API, adds a configured commission percentage to the returned price, and sends the finalized quote back to the user via WhatsApp.

Setup

Connect WhatsApp credentials for both the WhatsApp Trigger and WhatsApp “send message” actions, and configure the webhook in Meta/WhatsApp so inbound messages reach this workflow.
Add a HighLevel OAuth2 credential and confirm your HighLevel account has permission to search contacts, create contacts, and update the DND field.
Add a Google Gemini (PaLM) API credential and a Redis credential for chat memory, and ensure Redis is reachable from your n8n instance.
Add an HTTP Header Auth credential for the Warp API and verify the quote endpoint URL, headers, and request body fields match your Warp account requirements.
Adjust the commission percentage value (and any quoting assumptions like weight per pallet) to match your pricing policy.

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 - Sticky Note

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

Block 2 - Sticky Note1

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

Block 3 - Sticky Note2

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

Block 4 - Sticky Note3

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

Block 5 - Sticky Note4

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

Block 6 - When WhatsApp Message Received

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

Block 7 - Check Message Content

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 8 - Fetch HighLevel Contacts

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

Block 9 - Lead Processing Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 10 - Google Gemini Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1.1

Block 11 - Offload Lead Tool

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

Block 12 - If Not Do Not Disturb

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 13 - Create Contact Tool

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

Block 14 - Parse Structured Output

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 15 - If Data Collected

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 16 - Send WhatsApp Message

Type / Role: n8n-nodes-base.whatsApp - whatsApp
Config choices: Version 1.1

Block 17 - Post Quote Request

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.4

Block 18 - Set Commission Percentage

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 19 - Calculate Commissioned Rate

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

Block 20 - Send Quote to WhatsApp

Type / Role: n8n-nodes-base.whatsApp - whatsApp
Config choices: Version 1.1

Block 21 - Redis Chat Memory1

Type / Role: @n8n/n8n-nodes-langchain.memoryRedisChat - memoryRedisChat
Config choices: Version 1.6

3. Summary Table

Workflow	Quote freight shipments via WhatsApp with Google Gemini, HighLevel, and Warp
Complexity	advanced
Nodes	21
Categories	Lead Nurturing, AI Chatbot
Author	iamvaar
Published	15 Jun 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/16385/16385.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 Lead Nurturing workflows AI Chatbot workflows

Frequently asked questions

What does Quote freight shipments via WhatsApp with Google Gemini, HighLevel, and Warp 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 Lead Nurturing, AI Chatbot use case.

iamvaar

38 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.whatsapptrigger n8n-nodes-base.if n8n-nodes-base.highlevel @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.highleveltool @n8n/n8n-nodes-langchain.outputparserstructured

Complexity

advanced

Published 15 Jun 2026

Likes 0

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Install path: /data/workflows/16385/16385.json

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Quote freight shipments via WhatsApp with Google Gemini, HighLevel, and Warp

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Quick overview

How it works

Setup

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Sticky Note1

Block 3 - Sticky Note2

Block 4 - Sticky Note3

Block 5 - Sticky Note4

Block 6 - When WhatsApp Message Received

Block 7 - Check Message Content

Block 8 - Fetch HighLevel Contacts

Block 9 - Lead Processing Agent

Block 10 - Google Gemini Model

Block 11 - Offload Lead Tool

Block 12 - If Not Do Not Disturb

Block 13 - Create Contact Tool

Block 14 - Parse Structured Output

Block 15 - If Data Collected

Block 16 - Send WhatsApp Message

Block 17 - Post Quote Request

Block 18 - Set Commission Percentage

Block 19 - Calculate Commissioned Rate

Block 20 - Send Quote to WhatsApp

Block 21 - Redis Chat Memory1

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