🤖 AI restaurant assistant for WhatsApp, Instagram & Messenger

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

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

1. Workflow Overview

Hi, I’m Amanda! This workflow was created with so much love, care, and attention… especially for you, who runs a restaurant, a cozy little burger place, or a delivery business full of heart. ...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.code, n8n-nodes-base.converttofile, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.switch, n8n-nodes-base.wait, n8n-nodes-base.extractfromfile

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: 🤖 AI restaurant assistant for WhatsApp, Instagram & Messenger
Workflow name: 🤖 AI restaurant assistant for WhatsApp, Instagram & Messenger

Hi, I’m Amanda! 💌

This workflow was created with so much love, care, and attention… especially for you, who runs a restaurant, a cozy little burger place, or a delivery business full of heart. 🥰

I know how busy your days can be, so I made this sweet AI assistant to help you take care of your customers on WhatsApp, Instagram, Messenger (or Evolution API). It sends your beautiful menu, checks ZIP codes, creates payment links, and even notifies the kitchen when the order is ready. All gentle, all automatic, all with love. 💛

💡 What this workflow does

Replies to customers via WhatsApp API, Instagram Direct, Messenger, and Evolution API
Checks ZIP codes to see if delivery is available using Google Maps
Sends your menu as images, because food should look as good as it tastes 🍕
Collects item selections and offers lovely upsells like drinks or extras
Creates payment links with the Asaas API
Confirms when the payment is complete and sends the order to the kitchen
Stores all messages and session data safely in Supabase
Uses OpenAI GPT-4o to talk naturally and kindly with your customers

⚙️ How to set it up (I’ll guide you with care 🧸)

Connect your webhook from WhatsApp, Instagram, Messenger, or Evolution API
Create a Supabase table called n8n_workflow_followup
- You can use this ready-made template here:
  👉 Supabase Sheet Template
Add your API keys (OpenAI, Supabase, Google Maps, and Asaas) securely in n8n
Customize the AI prompt with your brand’s voice and sweet style 💫
Set your delivery radius (default is 10km, but you can change it!)
Upload your menu images (from Google Drive, your website, or any link)
That’s it! Your assistant is now ready to serve with kindness and automation 💕

🍯 Works with:

✅ n8n Cloud and Self-Hosted n8n
🔐 All API credentials are safely stored using n8n’s secure credential manager

Want something customized just for you?

Chat with me, I’d love to help 💻💛 Chat via WhatsApp (+55 17 99155-7874)

. . .

Tradução em Português:

Oi, eu sou a Amanda! 💌

Esse workflow foi feito com muito carinho, dedicação e cuidado... pensando especialmente em você, que tem um restaurante, lanchonete ou delivery cheio de amor pelo que faz. 🥰

Eu sei como o dia a dia pode ser corrido, e foi por isso que eu criei esse atendente com IA: pra te ajudar a responder clientes no WhatsApp, Instagram, Messenger (ou Evolution API), enviar cardápio com imagens lindas, calcular entregas, gerar links de pagamento e até avisar a cozinha. Tudo com jeitinho, sem complicação, e com muito coração. 💛

💡 O que esse fluxo faz

Atende clientes pelo WhatsApp API, Instagram Direct, Messenger e Evolution API
Valida CEP e calcula se o cliente está dentro da área de entrega (usando Google Maps)
Envia cardápio com imagens, porque comer começa pelos olhos 🍕
Coleta os pedidos e também oferece bebidas e adicionais
Gera link de pagamento automaticamente com a API do Asaas
Confirma o pagamento e avisa a cozinha quando estiver tudo certo
Armazena mensagens, horários e histórico no Supabase
Usa o GPT-4o da OpenAI pra conversar de forma educada e natural com seus clientes

⚙️ Como configurar (com meu passo a passo cheio de cuidado 🧸)

Conecte seu webhook do WhatsApp, Instagram, Messenger ou Evolution API
Crie uma tabela no Supabase chamada n8n_workflow_followup
- Você pode usar esse modelo aqui:
  👉 Planilha modelo Supabase
Adicione suas chaves de API do OpenAI, Google Maps, Supabase e Asaas no gerenciador do n8n
Personalize o prompt da IA com o nome do seu restaurante, estilo de fala e sua magia 💫
Defina a distância máxima de entrega (padrão: 10km)
Coloque seus próprios links de imagens do cardápio (pode ser do Drive, site ou CDN)
Prontinho! Agora o seu restaurante tem um atendente inteligente, gentil e muito eficiente 💕

🍯 Funciona com:

✅ n8n Cloud e n8n auto-hospedado
🔐 E suas credenciais ficam guardadinhas com segurança no próprio n8n, tá bom?

Quer algo feito especialmente pra você?

Fala comigo com todo carinho 💻💛 Falar no WhatsApp (+55 17 99155-7874)

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 Note6

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

Block 2 - Variaveis

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.3

Block 3 - Data&Hora

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

Block 4 - Converter Img

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

Block 5 - Maps

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

Block 6 - Maps1

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

Block 7 - Maps2

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

Block 8 - TranscAudio

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

Block 9 - Sticky Note3

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

Block 10 - Sticky Note14

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

Block 11 - MsgType

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3

Block 12 - Aguarda

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

Block 13 - CalculoTime

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

Block 14 - JSONhistorico1

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

Block 15 - Sticky Note4

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

Block 16 - Prompt

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.3

Block 17 - Converte PDF

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

Block 18 - Extract PDF

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

Block 19 - Maps5

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

Block 20 - Calculator

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

Block 21 - Modelo IA

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

Block 22 - OpenAI2

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

Block 23 - Segmentos

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

Block 24 - 1,2s

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

Showing the first 24 of 239 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	🤖 AI restaurant assistant for WhatsApp, Instagram & Messenger
Complexity	advanced
Nodes	239
Categories	Support Chatbot, AI Chatbot
Author	Amanda Benks
Published	17 Apr 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/3585/3585.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 Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does 🤖 AI restaurant assistant for WhatsApp, Instagram & Messenger do?

Hi, I’m Amanda! This workflow was created with so much love, care, and attention… especially for you, who runs a restaurant, a cozy little burger place, or a delivery business full of heart. ...

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 Support Chatbot, AI Chatbot use case.

Amanda Benks

17 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.set n8n-nodes-base.code n8n-nodes-base.converttofile @n8n/n8n-nodes-langchain.openai n8n-nodes-base.switch n8n-nodes-base.wait n8n-nodes-base.extractfromfile

Complexity

advanced

Published 17 Apr 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/3585/3585.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Route RAG customer support across WhatsApp and Outlook with Pinecone and OpenRouter

## Quick overview A production-ready 3-workflow system that handles customer support across WhatsApp and Email using RAG-powered AI. Automatically routes queries, detects escalation intent, logs handoffs to Google Sheets, alerts your team via Slack, and lets agents resolve cases with a single slash command. ## How it works 1. A form trigger accepts PDF, DOCX, and TXT documents, chunks them with a token splitter, embeds them using Google Gemini, and stores them in your Pinecone vector store to build the AI knowledge base. 2. Incoming messages from WhatsApp Business Cloud API and Microsoft Outlook are each normalized into a unified contact format — capturing channel, contact ID, name, and message text — before merging into a single pipeline. 3. Every message is checked against a Google Sheets handoff tracker. If the contact is currently assigned to a human agent, the message is forwarded directly to Slack without any AI involvement. 4. For active (non-handoff) contacts, the AI Support Agent queries Pinecone via RAG, pulls context from a sliding conversation memory window, and returns a structured JSON output containing a reply and a handoff_requested flag. 5. If the AI detects escalation intent or has no answer, it sets handoff_requested: true — the contact is logged to Google Sheets, AI goes silent for that contact, and a detailed alert is posted to your Slack support channel. 6. Answers are routed back through the originating channel — WhatsApp replies via Business Cloud API, email replies via Microsoft Outlook — keeping every conversation native to its platform. 7. Support agents run /resolve [contact_id] in Slack to close a handoff. The workflow validates the input, updates the Google Sheets row with agent name and timestamp, re-enables AI for that contact, and confirms resolution in the Slack channel. ## Setup 1. Pinecone + Embeddings: Create a Pinecone index and add your Pinecone credential to the "Insert into Vector Store" and "Knowledge Base" nodes. Set your Google Gemini API credential on both Embeddings nodes (one in Workflow 1, one in Workflow 2). 2. WhatsApp: Connect your WhatsApp Business Cloud API credential to the WhatsApp Trigger node. Replace YOUR_WHATSAPP_PHONE_NUMBER_ID in both Send WhatsApp Message nodes. 3. Email: Add your Microsoft Outlook OAuth2 credential to the Outlook Trigger and the Send Email Answer node. 4. Handoff Sheet: Create a Google Sheet with a tab named Handoffs and these column headers exactly: contact_id | channel | contact_name | status | handoff_since | resolved_by | resolved_at. Set your Google Sheets credential and paste your Sheet ID into all four Google Sheets nodes across Workflows 2 and 3. 5. Slack: Create a Slack bot app, add it to your support channel, and set the credential in all three Slack nodes. Update the channel name if yours differs from #support-handoff. 6. AI Model: Add your OpenRouter (or OpenAI) API key to the Chat Model node. Swap the model slug in node settings as needed. 7. Slash Command: Activate Workflow 3 first to generate its production webhook URL. Then in your Slack app settings go to Slash Commands → Create New → set command to /resolve → paste the webhook URL → reinstall app to workspace. 8. Activate order: Workflow 1 (KB ingestion) → Workflow 3 (resolve handler) → Workflow 2 (main support flow). ## Requirements - n8n (self-hosted or cloud) - WhatsApp Business Cloud API account (Meta Developer App) - Microsoft 365 / Outlook account - Pinecone account - Google Gemini API key - OpenRouter or OpenAI API key or Any other LLM - Google Sheets - Slack workspace with a custom bot app ## Customization - Edit the system prompt in the AI Support Agent node to match your brand voice, support scope, and escalation rules - Swap Google Gemini Embeddings for OpenAI Embeddings — just replace the Embeddings node and ensure your Pinecone index dimensions match - dd more channels (Telegram, Instagram DM, etc.) by normalizing their payloads into the same contact format and feeding them into the Merge node - Adjust conversation memory window (default: 8 messages) in the Conversation Memory node - Trigger the resolve webhook from your CRM or helpdesk instead of Slack if preferred ## Additional info All three workflows must be active simultaneously for the system to function Handoff state is persisted in Google Sheets and survives n8n restarts or server reboots Once a contact enters handoff, the AI is completely silent for that contact — no accidental double-responses Document metadata (filename, uploader name, timestamp) is stored alongside vectors in Pinecone for full traceability Default chunk settings: 500 tokens / 100 overlap — tune in the Token Splitter node based on your document style Contact / Support 🔗 n8n Templates: n8n.io/creators/salmanmehboob 💼 LinkedIn: linkedin.com/in/salman-mehboob-pro 📧 Email: [email protected] 💬 WhatsApp: +92 306 746 6499

View

Answer hotel guest messages with GPT-4o mini, Slack, and Google Sheets

## Quick Overview This workflow receives guest messages via a webhook, uses OpenAI (GPT-4o-mini) to generate multilingual hotel support replies with an escalation flag, notifies the front desk in Slack when needed, logs the interaction to Google Sheets, and returns a JSON acknowledgement to the messaging gateway. ## How it works 1. Receives an inbound guest message through a webhook from a WhatsApp/Viber gateway. 2. Normalizes the incoming payload into a consistent structure (guest ID, channel, guest name, and message text). 3. Uses OpenAI (GPT-4o-mini) to generate a short reply in the guest’s language based on the built-in hotel information and outputs structured JSON with language, reply, category, and an escalate flag. 4. If the message needs human attention, posts the guest details and message to a Slack front-desk channel. 5. Routes the reply based on the reported channel and sends the generated reply text to Slack. 6. Appends the conversation data to Google Sheets and responds to the gateway with a JSON status including the detected language and whether it was escalated. ## Setup 1. Configure the inbound webhook URL in your WhatsApp/Viber gateway so it sends a payload containing at least channel, from, and text/message fields. 2. Add OpenAI API credentials for the GPT-4o-mini model. 3. Add Slack OAuth2 credentials and set the target channels for front-desk notifications and reply delivery. 4. Add Google Sheets OAuth2 credentials and update the spreadsheet/document ID and sheet tab used for logging.

View

Answer support questions from a knowledge base with OpenAI GPT-4o-mini

## Quick Overview This workflow powers a support chat experience that uses an OpenAI RAG agent with in-memory vector search to answer questions from a knowledge base, and includes a manual ingestion flow that fetches an external FAQ document, splits it into chunks, embeds it with OpenAI, and stores it for retrieval. ## How it works 1. Triggers when a new chat message is received. 2. Uses an OpenAI chat model with conversation memory to generate a support reply while following the system support guidelines. 3. Creates OpenAI embeddings for the user’s query and searches an in-memory vector knowledge base for the top matching snippets. 4. Uses the retrieved knowledge base content as a tool to ground the final answer and returns the response to the chat. 5. When run manually, fetches FAQ content from a specified URL via HTTP. 6. Splits the fetched text into chunks, converts it into documents, generates OpenAI embeddings, and inserts the vectors into the in-memory knowledge base for future queries. ## Setup 1. Add OpenAI credentials for both chat completions (GPT-4o-mini) and embeddings. 2. Update the source URL in the HTTP Request step (currently https://example.com/help-center/faq.txt) to point to your real FAQ/knowledge base content. 3. Run the manual ingestion flow once to populate the in-memory knowledge base before testing the chat trigger.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

🤖 AI restaurant assistant for WhatsApp, Instagram & Messenger

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Hi, I’m Amanda! 💌

💡 What this workflow does

⚙️ How to set it up (I’ll guide you with care 🧸)

🍯 Works with:

Want something customized just for you?

Chat with me, I’d love to help 💻💛 Chat via WhatsApp (+55 17 99155-7874)

Tradução em Português:

Oi, eu sou a Amanda! 💌

💡 O que esse fluxo faz

⚙️ Como configurar (com meu passo a passo cheio de cuidado 🧸)

🍯 Funciona com:

Quer algo feito especialmente pra você?

Fala comigo com todo carinho 💻💛 Falar no WhatsApp (+55 17 99155-7874)

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note6

Block 2 - Variaveis

Block 3 - Data&Hora

Block 4 - Converter Img

Block 5 - Maps

Block 6 - Maps1

Block 7 - Maps2

Block 8 - TranscAudio

Block 9 - Sticky Note3

Block 10 - Sticky Note14

Block 11 - MsgType

Block 12 - Aguarda

Block 13 - CalculoTime

Block 14 - JSONhistorico1

Block 15 - Sticky Note4

Block 16 - Prompt

Block 17 - Converte PDF

Block 18 - Extract PDF

Block 19 - Maps5

Block 20 - Calculator

Block 21 - Modelo IA

Block 22 - OpenAI2

Block 23 - Segmentos

Block 24 - 1,2s

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