AI-powered restaurant order chatbot with GPT-4o for POS integration
This workflow automates the restaurant POS (Point of Sale) data management process, facilitating seamless order handling, customer tracking, inventory management, and sales reporting. It retrieves order details, processes payment information, updates inventory, and generates real-time sales reports, all integrated into a centralized system that improves restaurant operations.
The workflow integrates various systems, including a POS terminal to gather order data, payment gateways to process transactions, inventory management tools to update stock, and reporting tools like Google Sheets or an internal database for generating sales and performance reports.
Who Needs Restaurant POS Automation? This POS automation workflow is ideal for restaurant owners, managers, and staff looking to streamline their operations:
Restaurant Owners – Automate order processing, track sales, and monitor inventory to ensure smooth operations.
Managers – Access real-time sales data and performance reports to make informed decisions.
Staff – Reduce manual work, focusing on providing better customer service while the system handles orders and payments.
Inventory Teams – Automatically update inventory levels based on orders and ingredient usage.
If you need a reliable and automated POS solution to manage restaurant orders, payments, inventory, and reporting, this workflow minimizes human error, boosts efficiency, and saves valuable time.
Why Use This Workflow?
End-to-End Automation – Automates everything from order input to inventory updates and sales reporting.
Seamless Integration – Connects POS, payment systems, inventory management, and reporting tools for smooth data flow.(if needed)
Real-Time Data – Provides up-to-the-minute reports on sales, stock levels, and order statuses.
Scalable & Efficient – Supports multiple locations, multiple users, and high order volumes.
Step-by-Step: How This Workflow Manages POS Data
Collect Orders – Retrieves order details from the POS system, including customer information, ordered items, and payment details.
Update Inventory – Decreases inventory levels based on sold items, ensuring stock counts are always accurate.
Generate Reports – Compiles sales, revenue, and inventory data into real-time reports and stores them in Google Sheets or an internal database.
Track Customer Data – Keeps a log of customer details and order history for better service and marketing insights.
Customization: Tailor to Your Needs
Multiple POS Systems – Adapt the workflow to work with different POS systems or terminals based on your restaurant setup.
Custom Reporting – Modify the reporting format or include specific sales metrics (e.g., daily totals, best-selling items, employee performance).
Inventory Management – Adjust inventory updates to include alerts when stock reaches critical levels or needs reordering.
Integration with Accounting Software – Connect with platforms like QuickBooks for automated financial tracking.
🔑 Prerequisites
POS System Integration – Ensure the POS system can export order data in a compatible format.
Payment Gateway API – Set up the necessary API keys for payment processing (e.g., Stripe, PayPal).
Inventory Management Tools – Use inventory software or databases that can automatically update stock levels.
Reporting Tools – Use Google Sheets or an internal database to store and generate sales and inventory reports.
🚀 Installation & Setup
Configure Credentials
Set up API credentials for payment gateways and inventory management tools.
Import Workflow
Import the workflow into your automation platform (e.g., n8n, Zapier).
Link POS system, payment gateway, and inventory management systems.
Test & Run
Process a test order to ensure that data flows correctly through each step.
Verify that inventory updates and reports are generated as expected.
⚠ Important
Data Privacy – Ensure compliance with data protection regulations (e.g., GDPR, PCI DSS) when handling customer payment and order data.
System Downtime – Monitor system performance to ensure that the workflow runs without disruptions during peak hours.
Summary This restaurant POS automation workflow integrates order management, payment processing, inventory updates, and real-time reporting, enabling efficient restaurant operations. Whether you are running a single location or a chain of restaurants, this solution streamlines daily tasks, reduces errors, and provides valuable insights, saving time and improving customer satisfaction. 🚀
AI-Powered Restaurant Order Chatbot with GPT-4o for POS Integration
This n8n workflow demonstrates a sophisticated AI-powered chatbot designed to handle restaurant orders. It leverages a combination of AI agents, language models, and structured data extraction to process customer requests, manage conversation history, and prepare data for potential Point-of-Sale (POS) system integration.
What it does
This workflow orchestrates a conversational AI experience for taking restaurant orders by:
- Receiving Chat Messages: It starts by listening for incoming chat messages, acting as the entry point for customer interactions.
- Maintaining Conversation History: It uses a simple memory component to keep track of the conversation flow, allowing the AI to understand context over multiple turns.
- Processing with an AI Agent: An AI agent is employed to intelligently respond to user queries, potentially using tools to gather or process information.
- Leveraging an OpenAI Chat Model: The core of the AI's intelligence is powered by an OpenAI Chat Model (likely GPT-4o, given the workflow name context), enabling natural language understanding and generation.
- Extracting Structured Information: An "Information Extractor" component is used to parse relevant details from the conversation, such as menu items, quantities, and customer preferences, into a structured format.
- Conditional Logic and Looping: The workflow includes conditional logic (
Ifnode) and batch processing (Loop Over Items) to handle different scenarios and iterate through multiple items if needed. - Custom Code Execution: A
Codenode allows for custom JavaScript logic, which can be used for data manipulation, validation, or integration specific tasks. - Interacting with Google Sheets: It includes a
Google Sheetsnode, suggesting the capability to read from or write order details to a spreadsheet, potentially acting as a temporary storage or a simple POS integration. - Workflow Chaining: The
Call n8n Workflow Toolindicates the ability to trigger other n8n workflows as tools, extending its capabilities for complex operations (e.g., checking inventory, processing payments). - Placeholder for Future Actions: A
No Operation, do nothingnode andSticky Noteare present, often used for debugging, documentation, or as placeholders for future integrations or logic.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- OpenAI API Key: For the OpenAI Chat Model.
- Google Account: With access to Google Sheets, if you intend to use the Google Sheets integration.
- n8n Credentials: Configured for OpenAI and Google Sheets.
Setup/Usage
- Import the workflow: Download the JSON provided and import it into your n8n instance.
- Configure Credentials:
- Set up your OpenAI API Key credentials in n8n.
- Set up your Google Sheets credentials in n8n.
- Configure Nodes:
- Chat Trigger: Ensure the "When chat message received" node is configured to listen on your desired chat platform (e.g., Telegram, Slack, custom webhook).
- OpenAI Chat Model: Select your OpenAI credential and choose the appropriate model (e.g.,
gpt-4o). - Google Sheets: Configure the spreadsheet ID and sheet name for your order data.
- Information Extractor: Adjust the schema for information extraction to match your restaurant's menu and order details.
- Code Node: Review and modify the custom JavaScript code as per your specific data processing needs.
- Call n8n Workflow Tool: If using, ensure the referenced workflow is correctly configured and accessible.
- Activate the Workflow: Once configured, activate the workflow to start processing chat messages.
Related Templates
Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets
This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.
Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax
Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions
Automate Dutch Public Procurement Data Collection with TenderNed
TenderNed Public Procurement What This Workflow Does This workflow automates the collection of public procurement data from TenderNed (the official Dutch tender platform). It: Fetches the latest tender publications from the TenderNed API Retrieves detailed information in both XML and JSON formats for each tender Parses and extracts key information like organization names, titles, descriptions, and reference numbers Filters results based on your custom criteria Stores the data in a database for easy querying and analysis Setup Instructions This template comes with sticky notes providing step-by-step instructions in Dutch and various query options you can customize. Prerequisites TenderNed API Access - Register at TenderNed for API credentials Configuration Steps Set up TenderNed credentials: Add HTTP Basic Auth credentials with your TenderNed API username and password Apply these credentials to the three HTTP Request nodes: "Tenderned Publicaties" "Haal XML Details" "Haal JSON Details" Customize filters: Modify the "Filter op ..." node to match your specific requirements Examples: specific organizations, contract values, regions, etc. How It Works Step 1: Trigger The workflow can be triggered either manually for testing or automatically on a daily schedule. Step 2: Fetch Publications Makes an API call to TenderNed to retrieve a list of recent publications (up to 100 per request). Step 3: Process & Split Extracts the tender array from the response and splits it into individual items for processing. Step 4: Fetch Details For each tender, the workflow makes two parallel API calls: XML endpoint - Retrieves the complete tender documentation in XML format JSON endpoint - Fetches metadata including reference numbers and keywords Step 5: Parse & Merge Parses the XML data and merges it with the JSON metadata and batch information into a single data structure. Step 6: Extract Fields Maps the raw API data to clean, structured fields including: Publication ID and date Organization name Tender title and description Reference numbers (kenmerk, TED number) Step 7: Filter Applies your custom filter criteria to focus on relevant tenders only. Step 8: Store Inserts the processed data into your database for storage and future analysis. Customization Tips Modify API Parameters In the "Tenderned Publicaties" node, you can adjust: offset: Starting position for pagination size: Number of results per request (max 100) Add query parameters for date ranges, status filters, etc. Add More Fields Extend the "Splits Alle Velden" node to extract additional fields from the XML/JSON data, such as: Contract value estimates Deadline dates CPV codes (procurement classification) Contact information Integrate Notifications Add a Slack, Email, or Discord node after the filter to get notified about new matching tenders. Incremental Updates Modify the workflow to only fetch new tenders by: Storing the last execution timestamp Adding date filters to the API query Only processing publications newer than the last run Troubleshooting No data returned? Verify your TenderNed API credentials are correct Check that you have setup youre filter proper Need help setting this up or interested in a complete tender analysis solution? Get in touch 🔗 LinkedIn – Wessel Bulte