Workflow Templates

Build a Telegram assistant with MemMachine and voice support An AI assistant that NEVER forgets using MemMachine for persistent cross-session memory, with voice transcription support and productivity tools. ⚠️ Important Deployment Note: This workflow is designed for self-hosted n8n instances. If you're using n8n Cloud, you'll need to deploy MemMachine to a cloud server and update the HTTP Request URLs in nodes 4, 5, and 9. What This Template Does This workflow creates an intelligent personal assistant that maintains perfect memory across all conversations, whether you message today or weeks from now. It supports both text and voice messages, automatically transcribes voice using OpenAI Whisper, and provides tools for Gmail, Google Sheets, and Google Calendar. Key Features 🧠 Perfect Memory - Remembers every conversation using MemMachine 🎤 Voice Transcription - Supports voice messages via OpenAI Whisper 📧 Gmail Integration - Send and read emails 📊 Google Sheets - Read and write spreadsheet data 📅 Google Calendar - Create and manage events 🔧 MCP Tools - Extensible tool architecture 💬 Smart Context - References past conversations naturally Real-World Example Day 1 - Text Message: User: "Send an email to john@company.com about the Q1 report" AI: Uses Gmail tool "Email sent to John about the Q1 report!" Day 3 - Voice Message: 🎤 User: "What did I ask you to do for John?" AI: "On January 5th, you asked me to email John about the Q1 report, which I sent." Day 7 - Text Message: User: "Follow up with John" AI: "I'll send a follow-up email to john@company.com about the Q1 report that we discussed on Jan 5th." The AI remembers who John is, what you discussed, and when it happened - all without you having to repeat yourself! How It Works Message Flow For Text Messages: Telegram Trigger receives message Extract user data and message text Store message in MemMachine Search conversation history (last 30 memories) AI processes with full context + tools Store AI response for future reference Send reply to user For Voice Messages: Telegram Trigger receives voice message Download voice file OpenAI Whisper transcribes to text Extract transcribed text and user data Store in MemMachine (same as text flow) Process with AI + tools Send reply to user Requirements Services & Credentials MemMachine** - Open-source memory system (self-hosted via Docker) Telegram Bot Token** - From @BotFather OpenAI API Key** - For AI responses and voice transcription Gmail OAuth** - For email integration (optional) Google Sheets OAuth** - For spreadsheet access (optional) Google Calendar OAuth** - For calendar management (optional) Installation MemMachine Setup Clone and start MemMachine git clone https://github.com/MemMachine/MemMachine cd MemMachine docker-compose up -d Verify it's running curl http://localhost:8080/health Workflow Configuration Deployment Options This workflow supports two deployment scenarios: Option 1: Self-Hosted n8n (Recommended) Both n8n and MemMachine run locally Best for: Personal use, development, testing Setup: Run MemMachine: docker-compose up -d Use http://host.docker.internal:8080 in HTTP Request nodes (if n8n in Docker) Or use http://localhost:8080 (if n8n installed directly) Option 2: n8n Cloud n8n hosted by n8n.io, MemMachine on your cloud server Best for: Production, team collaboration Setup: Deploy MemMachine to cloud (DigitalOcean, AWS, GCP, etc.) Expose MemMachine via HTTPS with SSL certificate Update HTTP Request URLs in nodes 4, 5, 9 to: https://your-memmachine-domain.com Ensure firewall allows n8n Cloud IP addresses Configuration Steps Import this template into your n8n instance Update MemMachine URLs (nodes 4, 5, 9): Self-hosted n8n in Docker: http://host.docker.internal:8080 Self-hosted n8n (direct install): http://localhost:8080 n8n Cloud: https://your-memmachine-domain.com Set Organization IDs (nodes 4, 5, 9): Change your-org-id to your organization name Change your-project-id to your project name Add Credentials: Telegram Bot Token (node 1) OpenAI API Key (nodes 4, 7) Gmail OAuth (Gmail Tool node) Google Sheets OAuth (Sheets Tool node) Google Calendar OAuth (Calendar Tool node) Use Cases Personal Productivity "Remind me what I worked on last week" "Schedule a meeting with the team next Tuesday" "Email Sarah about the proposal" Customer Support AI remembers customer history References past conversations Provides contextual support Task Management Track tasks across days/weeks Remember project details Follow up on action items Email Automation "Send that email to John" (remembers John's email) "What emails did I send yesterday?" "Draft an email to the team" Calendar Management "What's on my calendar tomorrow?" "Schedule a meeting with Alex at 3pm" "Cancel my 2pm meeting" Customization Guide Extend Memory Capacity In Node 5 (Search Memory), adjust: "top_k": 30 // Increase for more context (costs more tokens) Modify AI Personality In Node 7 (AI Agent), edit the system prompt to: Change tone/style Add domain-specific knowledge Include company policies Set behavioral guidelines Add More Tools Connect additional n8n tool nodes to the AI Agent: Notion integration Slack notifications Trello/Asana tasks Database queries Custom API tools Multi-Channel Memory Create similar workflows for: WhatsApp (same MemMachine instance) SMS via Twilio (same memory database) Web chat widget (shared context) All channels can share the same memory by using consistent customer_email identifiers! Memory Architecture Storage Structure Every message is stored with: { "content": "message text", "producer": "user@email.com", "role": "user" or "assistant", "metadata": { "customer_email": "user@email.com", "channel": "telegram", "username": "john_doe", "timestamp": "2026-01-07T12:00:00Z" } } Retrieval & Formatting Search - Finds relevant memories by customer email Sort - Orders chronologically (oldest to newest) Format - Presents last 20 messages to AI Context - AI uses history to inform responses Cost Estimate MemMachine**: Free (self-hosted via Docker) OpenAI API**: Text responses: ~$0.001 per message (GPT-4o-mini) Voice transcription: ~$0.006 per minute (Whisper) n8n**: Free (self-hosted) or $20/month (cloud) Google APIs**: Free tier available Monthly estimate for 1,000 messages (mix of text/voice): OpenAI: $5-15 Google APIs: $0 (within free tier) Total: $5-15/month Troubleshooting Deployment Issues n8n Cloud: Can't connect to MemMachine Ensure MemMachine is publicly accessible via HTTPS Check firewall rules allow n8n Cloud IPs Verify SSL certificate is valid Test endpoint: curl https://your-domain.com/health Self-Hosted: Can't connect to MemMachine Check Docker is running: docker ps Verify URL matches your setup Test endpoint: curl http://localhost:8080/health Voice not transcribing Verify OpenAI API key is valid Check API key has Whisper access Test with short voice message first AI not remembering Verify org_id and project_id match in nodes 4, 5, 9 Check customer_email is consistent Review node 5 output (are memories retrieved?) Tools not working Verify OAuth credentials are valid Check required API scopes/permissions Test tools individually first Advanced Features Cloud Deployment Guide (For n8n Cloud Users) If you're using n8n Cloud, follow these steps to deploy MemMachine: 1. Choose a Cloud Provider DigitalOcean (Droplet: $6/month) AWS (EC2 t3.micro) Google Cloud (e2-micro) Render.com (easiest, free tier available) 2. Deploy MemMachine For DigitalOcean/AWS/GCP: SSH into your server ssh root@your-server-ip Install Docker curl -fsSL https://get.docker.com -o get-docker.sh sh get-docker.sh Clone and start MemMachine git clone https://github.com/MemMachine/MemMachine cd MemMachine docker-compose up -d 3. Configure HTTPS (Required for n8n Cloud) Install Caddy for automatic HTTPS apt install caddy Create Caddyfile cat > /etc/caddy/Caddyfile << 'CADDYEND' your-domain.com { reverse_proxy localhost:8080 } CADDYEND Start Caddy systemctl start caddy 4. Update Workflow In nodes 4, 5, 9, change URL to: https://your-domain.com Remove the /api/v2/memories part is already in the path 5. Security Best Practices Use environment variables for org_id and project_id Enable firewall: ufw allow 80,443/tcp Regular backups of MemMachine data Monitor server resources Semantic Memory MemMachine automatically extracts semantic facts from conversations for better recall of important information. Chronological Context Memories are sorted by timestamp, not relevance, to maintain natural conversation flow. Cross-Session Persistence Unlike session-based chatbots, this assistant remembers across days, weeks, or months. Multi-Modal Input Seamlessly handles both text and voice, storing transcriptions alongside text messages. Template Information Author: David Olusola Version: 1.0.0 Created: January 2026 Support & Resources MemMachine Documentation**: https://github.com/MemMachine/MemMachine n8n Community**: https://community.n8n.io OpenAI Whisper**: https://platform.openai.com/docs/guides/speech-to-text Contributing Found a bug or have an improvement? Contribute to the template or share your modifications with the n8n community! Start building your perfect-memory AI assistant today! 🚀

AI Customer Support Triage with Gmail, OpenAI, Airtable & Slack How it Works This workflow monitors your Gmail support inbox every minute, automatically sending each unread email to OpenAI for intelligent analysis. The AI evaluates sentiment (Positive/Neutral/Negative/Critical), urgency level (Low/Medium/High/Critical), categorizes requests (Technical/Billing/Feature Request/Bug Report/General), extracts key issues, and generates professional response templates. The system calculates a priority score (0-110) by combining urgency and sentiment weights, then routes tickets accordingly. Critical issues trigger immediate Slack alerts with full context and 30-minute SLA reminders, while routine tickets post to standard monitoring channels. Every ticket logs to Airtable with complete analysis and thread tracking, then updates a Google Sheets dashboard for real-time analytics. A secondary AI pass generates strategic insights (trend identification, risk assessment, actionable recommendations) and stores them back in Airtable. The entire process takes seconds from email arrival to team notification, eliminating manual triage and ensuring critical issues get immediate attention. Who is this for? Customer support teams needing automated prioritization for high email volumes SaaS companies tracking support metrics and response times Startups with lean teams requiring intelligent ticket routing E-commerce businesses managing technical, billing, and return inquiries Support managers needing data-driven insights into customer pain points Setup Steps Setup time:** 20-30 minutes Requirements:** Gmail, OpenAI API key, Airtable account, Google Sheets, Slack workspace Monitor Support Emails: Connect Gmail via OAuth2, configure INBOX monitoring for unread emails AI Analysis Engine: Add OpenAI API key, system prompt pre-configured for support analysis Parse & Enrich Data: JavaScript code automatically calculates priority scores (no changes needed) Route by Urgency: Configure routing rules for critical vs routine tickets Slack Alerts: Create Slack app, get bot token and channel IDs, replace placeholders in nodes Airtable Database: Create base with "tblSupportTickets" table, add API key and Base ID (replace appXXXXXXXXXXXXXX) Google Sheets Dashboard: Create spreadsheet, enable Sheets API, add OAuth2 credentials, replace Sheet ID (1XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX) Generate Insights: Second OpenAI call analyzes patterns, stores insights in Airtable Test: Send test email, verify Slack alerts, check Airtable/Sheets data logging Customization Guidance Priority Scoring:** Adjust urgency weight (25) and sentiment weight (10) in Code node to match your SLA requirements Categories:** Modify AI system prompt to add industry-specific categories (e.g., healthcare: appointments, prescriptions) Routing Rules:** Add paths for High urgency, VIP customers, or specific categories Auto-Responses:** Insert Gmail send node after routine tickets for automatic acknowledgment emails Multi-Language:** Add Google Translate node for non-English support VIP Detection:** Query CRM APIs or match email domains to flag enterprise customers Team Assignment:** Route different categories to dedicated Slack channels by department Cost Optimization:** Use GPT-3.5 (~$0.001/email) instead of GPT-4, self-host n8n for unlimited executions Once configured, this workflow operates as your intelligent support triage layer—analyzing every email instantly, routing urgent issues to the right team, maintaining comprehensive analytics, and generating strategic insights to improve support operations. Built by Daniel Shashko Connect on LinkedIn

Who's it for? This template is perfect for teams, communities, or anyone who wants a fun, automated way to remember and celebrate birthdays. If you love space and want to make someone's special day a little more cosmic, this is for you. It's a great way to boost morale and ensure no one's birthday is forgotten. How it works / What it does The workflow runs automatically every morning. It reads a list of birthdays from your Google Sheet and checks if any match the current date. If a match is found, it fetches the latest Earth image from NASA's EPIC API and uses an AI model to generate a unique, space-themed birthday greeting. Finally, it sends a personalized HTML email to the birthday person and posts a celebratory message in your designated Slack channel. Requirements A Google Sheet with columns for Name, Email, and Birthday (in a format like YYYY-MM-DD). Credentials for Google Sheets, Gmail, OpenAI, and Slack configured in your n8n instance. How to set up Configure Credentials: Add your API credentials for Google (for both Sheets and Gmail), OpenAI, and Slack in the respective nodes. Set Up Google Sheet: In the "Get Birthday Roster" node, enter your Google Sheet ID and the name of the sheet where the birthday list is stored. Configure Slack: In the "Post Slack Notification" node, select the channel where you want birthday announcements to be posted. Activate Workflow: Save and activate the workflow. It will now run automatically every day! How to customize the workflow Change the schedule: Modify the CRON expression in the "Every Morning at 7:00" node to change when the workflow runs. Adjust the AI prompt: Edit the system message in the "Generate Space Birthday Message" node to alter the tone, length, or style of the AI-generated greetings. Customize the email design: Modify the HTML in the "Send Birthday Email" node to change the look and feel of the birthday message.

Automate admin tasks for manufacturing companies by processing emails, extracting key data from invoices & purchase orders, and delivering instant alerts via Gmail and Telegram. 📝 Description This workflow automatically: Fetches incoming emails from Gmail Classifies emails (invoices, purchase orders, payment follow-up, etc.) using AI Sends tailored auto-replies based on content and attachment presence Extracts structured data from attached invoices/POs (PDFs etc.) Delivers alerts and document files to your team via Telegram Logs or routes data for further use in accounting or internal systems ⚙️ Pre-Conditions & Requirements Before using this workflow, you need: Gmail Account with API access (for OAuth2 authentication) Telegram Bot API Token (create a Telegram bot and get your API key) Optional: API credentials for Google Sheets or other data sinks if you want to log extracted data OpenRouter API credentials (for LLM-powered nodes, if used) Access to an n8n instance (cloud or self-hosted) 🛠 Setup Instructions Import the Workflow: Download the JSON file and import it into your n8n instance. Connect Accounts: Configure the Gmail Trigger node with your Gmail OAuth2 credentials Set up the Telegram node with your bot API token Set Required Variables: Adjust AI instructions or prompt text if needed (for your company’s tone/templates) Customize labels, keywords, or filters in code nodes for your use case Set target Telegram chat/group IDs Test the Workflow: Send a sample email with attachments to your Gmail account Confirm that emails are classified, replies are sent, and Telegram notifications/mobile alerts are delivered as expected Review and Connect Optional Modules: For logging or archiving extracted data, connect additional “Google Sheets” or “Webhook” nodes as needed 🧩 Customization Tips Modify Email Categories: Update AI prompt instructions or filters to add/change labels (“Vendor Query,” “Partial Payment,” etc.) Attachment Handling: Edit the code node logic to detect and process additional file types (DWG, XLSX, ZIP, etc.) Notification Logic: Change the Telegram destination or add Slack/Microsoft Teams for broader team alerts Data Logging: Add nodes for CRM, inventory, or ERP integration (push to your accounting or workflow management tool) Example AI Prompt (for categorization) text You are the personal emailing assistant for Zenith Engineering, a manufacturing company... Your tasks: Categorize each email by priority Draft polite, professional replies... Identify and label attachments such as invoices, POs, drawings Response should be a valid JSON object: {"Label":"Important", "Response":"..."} If you have any doubts and questions let me know : smonu2303@gmail.com from Pune. Linkedin: https://www.linkedin.com/in/raj-more-171560bb/

Description This workflow intelligently analyzes incoming Gmail emails, classifies intent using GPT-4, and sends real-time Slack notifications while logging structured data into Google Sheets. It provides a smart, AI-assisted communication workflow that saves time and ensures no important email is overlooked. 🤖💌📊 What This Template Does Monitors Gmail for unread or new incoming emails. 📥 Extracts sender, subject, and body content for processing. ✉️ Uses GPT-4 to analyze email intent and determine priority. 🧠 Formats key insights (sender, summary, intent, urgency). 🧾 Posts structured summaries and priority alerts in Slack. 💬 Logs all processed emails with classification results in Google Sheets. 📊 Sends error notifications in case of API or parsing failures. 🚨 Key Benefits ✅ AI-driven email intent classification for smarter response handling. ✅ Seamless Slack notifications for high-priority or urgent emails. ✅ Maintains a centralized record of email insights in Google Sheets. ✅ Reduces response time by surfacing critical messages instantly. ✅ Minimizes manual email triage and improves team productivity. Features Real-time Gmail monitoring for unread emails. AI-based classification using GPT-4. Slack notifications with rich formatting and urgency tagging. Google Sheets logging for tracking and analytics. Built-in error handling with notification alerts. Modular setup for easy credential reuse across projects. Requirements Gmail OAuth2 credentials with inbox read access. Slack Bot token with chat:write and channels:history scopes. Google Sheets OAuth2 credentials for data logging. Azure OpenAI (or OpenAI GPT-4) API credentials. n8n instance (cloud or self-hosted). Target Audience Customer support teams managing shared inboxes. Operations teams tracking email-based requests. Sales or marketing teams prioritizing inbound leads. AI automation enthusiasts optimizing email workflows. Remote teams using Slack for real-time updates. Step-by-Step Setup Instructions Connect your Gmail, Slack, Google Sheets, and GPT-4 credentials in n8n. 🔑 Specify the Gmail search filter (e.g., is:unread) for tracking new emails. 📬 Add your Slack channel ID in the notification node. 💬 Set your Google Sheet ID and tab name for logging results. 📊 Run once manually to verify connection and output structure. ✅ Enable the workflow for continuous, real-time execution. 🚀

How it works This workflow runs on a schedule to monitor HubSpot deals with upcoming contract expiry dates. It filters deals that are 30, 60, or 90 days away from expiration and processes each one individually. Based on the remaining days, it sends personalized email reminders to contacts via Gmail. It also notifies account managers in Slack and creates follow-up tasks in ClickUp for tracking. Step-by-step Schedule and filter expiring deals** Schedule Trigger – Runs the workflow at defined intervals. Get all deals – Fetches deals and contract expiry data from HubSpot. Filter Deals – Calculates days left and keeps only 30, 60, or 90-day expiries. Process deals and fetch contacts** Loop Over Deals – Iterates through each filtered deal. Fetch Associated Contact With Deal – Retrieves linked contact IDs via API. Get Contact Details – Pulls contact email and basic info from HubSpot. Route and send reminder emails** Switch – Routes deals based on days left (30, 60, 90). 30 day mail – Sends urgent renewal reminder via Gmail. 60 day mail – Sends friendly renewal notification email. 90 day mail – Sends early awareness email. Merge – Combines all email paths into a single output. Notify team and create follow-ups** Nofity Account Manager – Sends Slack alert with deal and contact details. Create Follow-up Task – Creates a ClickUp task for renewal tracking. Why use this? Prevent missed renewals with automated tracking and alerts Improve customer retention through timely communication Reduce manual CRM monitoring and follow-ups Keep teams aligned with Slack notifications and task creation Scale contract management without increasing workload

Overview This comprehensive workflow transforms Excel spreadsheets into professional, AI-generated reports with automated analysis and insights. Whether you're dealing with financial data, customer tracking, sales metrics, inventory management, or any structured data in Excel format, this template leverages artificial intelligence to create detailed, actionable reports with visualizations and key findings. How It Works Automated Report Generation Pipeline: File Processing Trigger**: Workflow initiates when Excel files are uploaded through a web form or file system Data Extraction & Validation**: Automatically reads Excel sheets, validates data structure, and identifies key metrics AI-Powered Analysis**: Uses advanced language models to analyze data patterns, trends, and anomalies Report Generation**: Creates comprehensive reports with executive summaries, detailed analysis, and actionable recommendations Multi-Format Output**: Generates reports in various formats (PDF, HTML, Word) with embedded charts and visualizations Automated Distribution**: Sends completed reports via email or saves to designated cloud storage locations Setup Instructions Estimated Setup Time: 10-15 minutes Prerequisites n8n instance (v0.200.0 or higher) OpenAI/Claude API key for AI analysis Email service credentials (for report distribution) Cloud storage access (Google Drive, Dropbox, etc.) - optional Configuration Steps Configure File Input Trigger Set up webhook or file system trigger for Excel file uploads Configure accepted file formats (.xlsx, .xls, .csv) Add file size and validation checks Setup Data Processing Nodes Configure Excel file reader with sheet selection options Set up data validation and cleaning processes Define column mapping and data type recognition Configure AI Analysis Engine Add your AI service API credentials (OpenAI, Anthropic, etc.) Customize analysis prompts based on your data types Set up context-aware report generation parameters Setup Report Generation Configure report templates for different data types Set up chart generation and data visualization options Define output formats and styling preferences Configure Distribution Channels Set up email service for automated report delivery Configure cloud storage integration for report archiving Add notification systems for completion alerts Use Cases Financial Reporting Budget Analysis**: Analyze spending patterns and budget variance reports P&L Statements**: Generate profit and loss summaries with trend analysis Cash Flow Reports**: Create comprehensive cash flow analysis with forecasting Expense Tracking**: Automated expense categorization and spending insights Sales & CRM Analytics Sales Performance**: Generate sales team performance reports with KPIs Customer Analysis**: Create customer segmentation and lifetime value reports Lead Tracking**: Analyze conversion funnels and lead quality metrics Territory Management**: Regional sales analysis and market penetration reports Operations Management Inventory Reports**: Stock level analysis with reorder recommendations Project Tracking**: Progress reports with timeline and resource analysis Quality Metrics**: Performance dashboards with trend identification Resource Planning**: Capacity utilization and allocation reports HR & Administrative Employee Performance**: Generate comprehensive performance review reports Attendance Tracking**: Analyze attendance patterns and productivity metrics Training Records**: Skills gap analysis and training effectiveness reports Compliance Reporting**: Regulatory compliance status and audit reports Key Features Intelligent Data Recognition**: Automatically identifies data types and relationships Contextual Analysis**: AI provides industry-specific insights and recommendations Professional Formatting**: Clean, corporate-ready report layouts Interactive Visualizations**: Embedded charts, graphs, and data visualizations Executive Summaries**: AI-generated executive summaries highlighting key findings Trend Analysis**: Historical data comparison and future projections Anomaly Detection**: Automatically flags unusual patterns or outliers Multi-Language Support**: Generate reports in multiple languages Batch Processing**: Handle multiple files simultaneously Error Handling**: Robust error management with detailed logging Technical Requirements n8n instance with sufficient memory for Excel processing (minimum 2GB RAM recommended) AI service API access (OpenAI GPT-4, Claude, or similar) Email service (Gmail, Outlook, SendGrid, etc.) Optional: Cloud storage service credentials Stable internet connectivity for AI API calls Supported Data Types Financial Data**: Revenue, expenses, budgets, forecasts Sales Data**: Transactions, leads, customer information, pipeline data Operational Data**: Inventory, production metrics, quality scores HR Data**: Employee records, performance metrics, attendance Marketing Data**: Campaign metrics, conversion rates, ROI analysis Custom Data**: Any structured Excel data with clear column headers Output Options PDF Reports**: Professional PDF documents with embedded charts HTML Dashboards**: Interactive web-based reports Word Documents**: Editable Word reports with tables and charts Excel Summaries**: Enhanced Excel files with analysis sheets PowerPoint Presentations**: Executive presentation slides Advanced Features Custom Branding**: Add your company logo and branding to reports Scheduled Processing**: Set up automated report generation schedules Template Customization**: Create custom report templates for different data types Integration Ready**: Easy integration with existing business systems Audit Trail**: Complete logging of all processing steps and data changes Support & Troubleshooting For optimal performance, ensure your Excel files have clear column headers and consistent data formatting. The AI analysis works best with clean, well-structured data. For complex financial calculations, verify results against your existing systems during initial setup.

Promo Seeker automatically finds, verifies, and delivers active promo codes to users via Telegram or email using SerpAPI + Gemini (OpenRouter). Saves hours of manual searching and deduplicates results into an n8n Data Table for fast reuse. Why Use This Workflow? Time Savings: Reduces manual promo hunting from 2 hours to 5 minutes per query. Cost Reduction: Cuts reliance on paid scraping tools or manual services — potential savings of $50–$200/month. Error Prevention: Cross-references sources and enforces a 30‑day recency filter to reduce expired-code hits by ~60% vs single-source checks. Scalability: Handles hundreds of queries per day with Data Table upserts and optional scheduling for continuous discovery. Ideal For Marketing / Growth Managers:** Quickly discover competitor or partner discounts to promote in campaigns. Customer Support / Operations:** Respond to user requests with verified promo codes via Telegram or email. Affiliate / Content Teams:** Aggregate and maintain a clean promo feed for newsletters or site widgets. How It Works Trigger: Incoming request via Webhook, Telegram message, Google Form submission, or scheduled run. Data Collection: The LangChain agent uses SerpAPI search results and Gemini (OpenRouter) to locate recent promo codes. Processing: Filter for recency (last 30 days), extract code, value, terms, and expiry. Intelligence Layer: Gemini 2.5 Pro (OpenRouter) + LangChain agent structure and verify results, outputting a standardized JSON. Output & Delivery: If a code exists in the Data Table, notify the requester via Telegram and Gmail; otherwise, return results and upsert them into the Data Table. Storage & Logging: Results stored/upserted in an n8n Data Table to prevent duplicates and enable fast lookups. Setup Guide Prerequisites | Requirement | Type | Purpose | |-------------|------|---------| | n8n instance | Essential | Execute the workflow — import JSON to your n8n instance | | SerpAPI account | Essential | Web search results for promo code discovery | | OpenRouter (Gemini) account | Essential | Language model (Gemini 2.5 Pro) for extraction and verification | | Telegram Bot (BotFather) | Essential | Receive queries and send promo notifications | | Gmail OAuth2 | Essential | Send rich email notifications | | n8n Data Tables | Essential | Store and deduplicate promo code records | Get your n8n instance here: n8n instance — import the JSON and begin configuration. (Repeat link for convenience) n8n instance Installation Steps Import the JSON workflow into your n8n instance. Configure credentials (use n8n's Credentials UI — do NOT paste keys into nodes): SerpAPI: paste your SerpAPI API Key from your SerpAPI dashboard. OpenRouter API: paste your OpenRouter API Key (for Gemini 2.5 Pro). Telegram API: create bot via @BotFather, then add Bot Token to Telegram credentials. Gmail OAuth2: use n8n's Gmail OAuth2 credential flow and authorize the account. Update environment-specific values: Webhook path: /v1/promo-seeker (configured in the Webhook node) or replace with your preferred path. Data Table ID: point to your own Data Table Form/webhook recipient fields (email/chatId mappings). Customize settings: Adjust the LangChain agent prompt (Promo Seeker Agent) for different recency windows or regional focus. Change max results/limit on the Data Table node (default limit = 3). Test execution: Trigger via Telegram or a POST to the webhook with sample payload: { "platform":"example.com", "email":"you@domain.com" } Confirm notifications arrive and Data Table rows are upserted. Technical Details Core Nodes | Node | Purpose | Key Configuration | |------|---------|-------------------| | SerpAPI | Fetch web search results | Provide credential; adjust search params in agent prompt | | Gemini 2.5Pro (OpenRouter) | Extract & verify promo details | Use OpenRouter credential; model google/gemini-2.5-pro | | Promo Seeker Agent (LangChain) | Orchestrates search + parsing | System prompt enforces 30‑day recency & result format | | Structured Output Parser | Validates agent output | JSON schema example for platform/code/value/terms/validUntil | | Data Table (Get row(s)) | Lookup existing promos | Filters by platform; limit = 3 | | If (Code Exist?) | Branching logic | Checks existence of platform field | | Data Table (Upsert row(s)) | Insert or update promo | Mapping from agent output to Data Table columns | | Telegram Trigger / Telegram | Receive queries & notify users | Webhook-based trigger; parse_mode = HTML for messages | | Gmail | Send rich HTML emails | Uses Gmail OAuth2 credential | | Webhook / Form Trigger | Alternate inputs | Webhook path /v1/promo-seeker and Form trigger for manual submissions | Workflow Logic On trigger, the Platform Set node normalizes the incoming query and receiver. Get row(s) checks Data Table for existing promos. If found: notify via Telegram and send Gmail (email template included). If not found: the Promo Seeker Agent runs SerpAPI searches, parses structured output, then Upsert row(s) saves results and notifications are sent. Structured Output Parser enforces correct JSON to avoid bad upserts. Customization Options Basic Adjustments Recency window: change the agent prompt to 7/14/30 days. Result limit: increase Data Table Get limit or change Upsert batch size. Advanced Enhancements Add Slack or Microsoft Teams notifications (moderate complexity). Add caching layer (Redis) to reduce repeated SerpAPI calls (advanced). Parallelize searches across multiple search engines (higher API usage & complexity). Performance & Optimization | Metric | Expected Performance | Optimization Tips | |--------|----------------------|-------------------| | Execution time | 8–30s per new search (depends on SerpAPI + LM response) | Reduce SerpAPI page depth; cache recent results | | API calls | 3–10 SerpAPI calls per complex query | Batch queries; use higher-quality search params | | Error handling | Agent retries on malformed output | Use retry nodes and set onError strategy for downstream nodes | Troubleshooting | Problem | Cause | Solution | |---------|-------|----------| | No results returned | Query too vague or rate-limited API | Improve query specificity; check SerpAPI quota | | Gmail send fails | OAuth scope not granted or token expired | Reconnect Gmail OAuth2 credential in n8n | | Telegram webhook not firing | Incorrect bot token or webhook setup | Recreate Telegram credential and check bot permissions | | Duplicate rows | Upsert mapping mismatch | Ensure promoCode mapping in Upsert matches structured output | | Agent returns malformed JSON | LM prompt too permissive | Tighten the agent system prompt and validate with Structured Output Parser | Created by: khaisa Studio Category: Marketing Automation Tags: promo-codes, coupons, serpapi, telegram, gmail, openrouter, data-tables Need custom workflows or help adapting this template? 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Reduce MTTR with context-aware AI severity analysis and automated SLA enforcement Know that feeling when a "low priority" ticket turns into a production fire? Or when your on-call rotation starts showing signs of serious burnout from alert overload? This workflow handles that problem. Two AI agents do the triage work—checking severity, validating against runbooks, triggering the right response. What This Workflow Does Incident comes in through webhook → two-agent analysis kicks off: Agent 1 (Incident Analyzer) checks the report against your Google Sheets runbook database. Looks for matching known issues, evaluates risk signals, assigns a confidence-scored severity (P1/P2/P3). Finally stops you from trusting "CRITICAL URGENT!!!" subject lines. Agent 2 (Response Planner) builds the action plan: what to do first, who needs to know, investigation steps, post-incident tasks. Like having your most experienced engineer review every single ticket. Then routing happens: P1 incidents** → PagerDuty goes off + war room gets created + 15-min SLA timer starts P2 incidents** → Gmail alert + you've got 1 hour to acknowledge P3 incidents** → Standard email notification Nobody responds in time? Auto-escalates to management. Everything logs to Google Sheets for the inevitable post-mortem. What Makes This Different | Feature | This Workflow | Typical AI Triage | |---------|--------------|-------------------| | Architecture | Two specialized agents (analyze + coordinate) | Single generic prompt | | Reliability | Multi-LLM fallback (Gemini → Groq) | Single model, fails if down | | SLA Enforcement | Auto-waits, checks, escalates autonomously | Sends alert, then done | | Learning | Feedback webhook improves accuracy over time | Static prompts forever | | Knowledge Source | Your runbooks (Google Sheets) | Generic templates | | War Room Creation | Automatic for P1 incidents | Manual | | Audit Trail | Every decision logged to Sheets | Often missing | How It Actually Works: Real Example Scenario: Your monitoring system detects database errors. Webhook receives this messy alert: { "title": "DB Connection Pool Exhausted", "description": "user-service reporting 503 errors", "severity": "P3", "service": "user-service" } Agent 1 (Incident Analyzer) reasoning: Checks Google Sheets runbook → finds entry: "Connection pool exhaustion typically P2 if customer-facing" Scans description for risk signals → detects "503 errors" = customer impact Cross-references service name → confirms user-service is customer-facing Decision: Override P3 → P2 (confidence score: 0.87) Reasoning logged: "Customer-facing service returning errors, matches known high-impact pattern from runbook" Agent 2 (Response Coordinator) builds the plan: Immediate actions:** "Check active DB connections via monitoring dashboard, restart service if pool usage >90%, verify connection pool configuration" Escalation tier:** "team" (not manager-level yet) SLA target:** 60 minutes War room needed:** No (P2 doesn't require it) Recommended assignee:** "Database team" (pulled from runbook escalation contact) Notification channels:** #incidents (not #incidents-critical) What happens next (autonomously): Slack alert posted to #incidents with full context 60-minute SLA timer starts automatically Workflow waits, then checks Google Sheets "Acknowledged By" column If still empty after 60 min → escalates to #engineering-leads with "SLA BREACH" tag Everything logged to both Incidents and AI_Audit_Log sheets Human feedback loop (optional but powerful): On-call engineer reviews the decision and submits: POST /incident-feedback { "incidentId": "INC-20260324-143022-a7f3", "feedback": "Correct severity upgrade - good catch", "correctSeverity": "P2" } → This correction gets logged to AI_Audit_Log. Over time, Agent 1 learns which patterns justify severity overrides. Key Benefits Stop manual triage:** What took your on-call engineer 5-10 minutes now takes 3 seconds. Agent 1 checks the runbook, Agent 2 builds the response plan. Severity validation = fewer false alarms:** The workflow cross-checks reported severity against runbook patterns and risk signals. That "P1 URGENT" email from marketing? Gets downgraded to P3 automatically. SLAs enforce themselves:** P1 gets 15 minutes. P2 gets 60. Timers run autonomously. If nobody acknowledges, management gets paged. No more "I forgot to check Slack." Uses YOUR runbooks, not generic templates:** Agent 1 pulls context from your Google Sheets runbook database — known issues, escalation contacts, SLA targets. It knows your systems. Multi-LLM fallback = 99.9% uptime:** Primary: Gemini 2.0. Fallback: Groq. Each agent retries 3x with 5-sec intervals. Basically always works. Self-improving feedback loop:** Engineers can submit corrections via /incident-feedback webhook. The workflow logs every decision + human feedback to AI_Audit_Log. Track accuracy over time, identify patterns where AI needs tuning. Complete audit trail:** Every incident, every AI decision, every escalation — all in Google Sheets. Perfect for post-mortems and compliance. Required APIs & Credentials Google Gemini API** (main LLM, free tier is fine) Groq API** (backup LLM, also has free tier) Google Sheets** (stores runbooks and audit trail) Gmail** (handles P2/P3 notifications) Slack OAuth2 API** (creates war rooms) PagerDuty** (P1 alerts—optional, you can just use Slack/Gmail) Setup Complexity This is not a 5-minute setup. You'll need: Google Sheets structure: 3 tabs: Runbooks, Incidents, AI_Audit_Log Pre-populated runbook data (services, known issues, escalation contacts) Slack configuration: 4 channels: #incidents-critical, #incidents, #management-escalation, #engineering-leads Slack OAuth2 with bot permissions Estimated setup time: 30-45 minutes Quick start option: Begin with just Slack + Google Sheets. Add PagerDuty later. Who This Is For DevOps engineers done being the human incident router SRE teams drowning in alert fatigue IT ops managers who need real accountability Security analysts triaging at high volume Platform engineers trying to automate the boring stuff

How it works This workflow monitors customer health by combining payment behavior, complaint signals, and AI-driven feedback analysis. It runs on daily and weekly schedules to evaluate risk levels, escalate high-risk customers, and generate structured product insights. High-risk cases are notified instantly, while detailed feedback and audit logs are stored for long-term analysis. Step-by-step Step 1: Triggers & mode selection** Daily Risk Check Trigger – Starts the workflow on a daily schedule. Weekly schedule1 – Triggers the workflow for weekly summary runs. Edit Fields3 – Sets flags for daily execution. Edit Fields2 – Sets flags for weekly execution. Switch1 – Routes execution based on daily or weekly mode. Step 2: Risk evaluation & escalation** Fetch Customer Risk Data – Pulls customer, payment, product, and complaint data from PostgreSQL. Is High Risk Customer? – Evaluates payment status and complaint count. Prepare Escalation Summary For Low Risk User – Assigns low-risk status and no-action details. Prepare Escalation Summary For High Risk User – Assigns high-risk status and escalation actions. Merge Risk Result – Combines low-risk and high-risk customer records. Send a message4 – Sends the customer risk summary via Gmail. Send a message5 – Sends the same risk summary to Discord. Code in JavaScript3 – Appends notification status and timestamps. Append or update row in sheet3 – Logs risk evaluations and notification status in Google Sheets. Step 3: AI feedback & reporting** Get row(s) in sheet1 – Fetches customer records for feedback analysis. Loop Over Items1 – Processes customers one by one. Prompt For Model1 – Builds a structured prompt for product feedback analysis. HTTP Request1 – Sends data to the AI model for insight generation. Code in JavaScript – Merges AI feedback with original customer data. Append or update row in sheet – Stores AI-generated feedback in Google Sheets. Wait1 – Controls execution pacing between records. Merge1 – Prepares consolidated feedback data. Send a message1 – Emails the final AI-powered feedback report. Why use this? Detect customer churn risk early using payment and complaint signals Automatically escalate high-risk customers without manual monitoring Convert raw customer issues into executive-ready product insights Keep a complete audit trail of risk, feedback, and notifications Align support, product, and leadership teams with shared visibility

This workflow automatically collects customer reviews from Google, Facebook, Trustpilot, and Yelp, analyzes their sentiment using AI, sends real-time alerts for negative feedback, and generates a weekly summary report. It is ideal for businesses that want to monitor their online reputation across multiple platforms and respond quickly to customer concerns. How It Works Daily Schedule**: Triggers the workflow every day at 09:00. Review Collection**: Fetches new reviews from Google, Facebook, Trustpilot, and Yelp using their official APIs. Data Normalization**: Merges and standardizes all reviews into a unified format. AI Sentiment Analysis**: Uses GPT-4 to analyze the sentiment and extract key insights from each review. Negative Review Alerts**: Sends a Slack notification to managers if a negative review is detected. Logging**: Saves all reviews and their analysis to a Google Sheet for record-keeping. Weekly Reporting**: Every Monday, aggregates the past week’s reviews, generates an AI-powered summary, and emails it to management. Configuration API Credentials: Google My Business API: Create a project in Google Cloud, enable the My Business API, and generate OAuth credentials. Facebook Graph API: Create a Facebook App, request the necessary permissions, and obtain a Page Access Token. Trustpilot API: Register for a Trustpilot Business account and generate an API key. Yelp Fusion API: Sign up for Yelp Fusion, create an app, and get your API key. OpenAI API: Create an account at OpenAI, generate an API key for GPT-4 access. Slack API: Create a Slack App, enable Incoming Webhooks, and get the webhook URL. Google Sheets API: Enable the Google Sheets API in Google Cloud and create OAuth credentials. Set Up Environment Variables: Add all API keys, tokens, and configuration values in the Workflow Configuration node or as n8n credentials. Google Sheet Setup: Create a Google Sheet with columns for review data and share it with your service account email. Slack Channel: Set up a Slack channel for alerts and add the webhook URL in the configuration. Email Settings: Configure the recipient email address for weekly reports in the workflow. Usage Activate the workflow after configuration. Reviews will be collected and analyzed daily. Negative reviews trigger instant Slack alerts. Every Monday, a summary report is sent via email. Use Case: Monitor and respond to customer feedback across Google, Facebook, Trustpilot, and Yelp, automate sentiment analysis, and keep management informed with actionable weekly insights.

Transform procurement from manual chaos to intelligent automation - AI-powered supplier selection analyzes urgency, cost, and delivery requirements to recommend optimal vendors, then automatically generates professional POs, manages approval workflows, and tracks delivery while maintaining complete audit trails. What This Workflow Does Revolutionizes purchase order management with AI-driven supplier optimization and automated procurement workflows: Webhook-Triggered Generation** - Automatically creates POs from inventory systems, manual requests, or threshold alerts Smart Data Validation** - Verifies item details, quantities, pricing, and calculates totals with tax and shipping AI Supplier Selection** - OpenAI agent analyzes order requirements and recommends optimal supplier based on multiple factors Intelligent Analysis** - AI considers urgency level, total value, item categories, delivery requirements, and cost optimization Multi-Supplier Database** - Maintains supplier profiles with contact details, payment terms, delivery times, and specializations Approval Workflow** - Routes high-value orders (>$5000) for management approval before supplier notification Professional PO Generation** - Creates beautifully formatted purchase orders with company branding and complete details AI Insights Display** - Shows supplier selection reasoning, cost optimization notes, and alternative supplier recommendations PDF Conversion** - Transforms HTML into print-ready, professional-quality purchase order documents Automated Email Distribution** - Sends POs directly to selected suppliers with all necessary attachments Google Drive Archival** - Automatically saves POs to organized folders with searchable filenames Procurement System Logging** - Records complete PO details, supplier info, and status in centralized system Delivery Tracking** - Monitors order status from placement through delivery confirmation Slack Team Notifications** - Real-time alerts to procurement team with PO details and AI recommendations Urgency Classification** - Prioritizes orders based on urgency (urgent, normal) affecting supplier selection Cost Optimization** - AI identifies opportunities for savings or faster delivery based on requirements Key Features AI-Powered Supplier Matching**: Machine learning analyzes order characteristics and recommends best supplier from database based on delivery speed, cost, and specialization Intelligent Trade-Off Analysis**: AI balances cost vs delivery time vs supplier capabilities to find optimal choice for specific order requirements Automatic PO Numbering**: Generates unique sequential purchase order numbers with format PO-YYYYMM-#### for tracking and reference Approval Threshold Management**: Configurable dollar thresholds trigger approval workflows for high-value purchases requiring management authorization Multi-Criteria Supplier Selection**: Considers urgency level, order value, item categories, delivery requirements, and historical performance Supplier Specialization Matching**: Routes technology orders to tech suppliers, construction materials to building suppliers, etc. Cost vs Speed Optimization**: AI recommends premium suppliers for urgent orders and budget suppliers for standard delivery timelines Alternative Supplier Suggestions**: Provides backup supplier recommendations in case primary choice is unavailable Real-Time Pricing Calculations**: Automatically computes line items, subtotals, taxes, shipping, and grand totals Payment Terms Automation**: Pulls supplier-specific payment terms (Net 30, Net 45, etc.) from supplier database Shipping Address Management**: Maintains multiple delivery locations with automatic address population Special Instructions Field**: Captures custom requirements, delivery notes, or handling instructions for suppliers Item Catalog Integration**: Supports product codes, descriptions, quantities, and unit pricing for accurate ordering Audit Trail Generation**: Complete activity log tracking PO creation, approvals, supplier notification, and delivery Status Tracking System**: Monitors PO lifecycle from creation through delivery confirmation with real-time updates Multi-Department Support**: Tracks requesting department for budget allocation and accountability Perfect For Retail Stores** - Automated inventory reordering when stock reaches threshold levels Manufacturing Companies** - Raw material procurement with delivery scheduling for production planning Restaurant Chains** - Food and supplies ordering with vendor rotation and cost optimization IT Departments** - Equipment purchasing with approval workflows for technology investments Construction Companies** - Materials procurement with urgency-based supplier selection for project timelines Healthcare Facilities** - Medical supplies ordering with compliance tracking and vendor management Educational Institutions** - Procurement for facilities, supplies, and equipment across departments E-commerce Businesses** - Inventory replenishment with AI-optimized supplier selection for margins Hospitality Industry** - Supplies procurement for hotels and resorts with cost control Government Agencies** - Compliant procurement workflows with approval chains and audit trails What You Will Need Required Integrations OpenAI API** - AI agent for intelligent supplier selection and optimization (API key required) HTML to PDF API** - PDF conversion service for professional PO documents (approximately 1-5 cents per PO) Gmail or SMTP** - Email delivery for sending POs to suppliers and approval requests Google Drive** - Cloud storage for PO archival and compliance documentation Optional Integrations Slack Webhook** - Procurement team notifications with PO details and AI insights Procurement Software** - ERP/procurement system API for automatic logging and tracking Inventory Management** - Connect to inventory systems for automated reorder triggers Accounting Software** - QuickBooks, Xero integration for expense tracking and reconciliation Supplier Portal** - Direct integration with supplier order management systems Approval Software** - Connect to approval management platforms for workflow automation Quick Start Import Template - Copy JSON workflow and import into your n8n instance Configure OpenAI - Add OpenAI API credentials for AI supplier selection agent Setup PDF Service - Add HTML to PDF API credentials in the HTML to PDF node Configure Gmail - Connect Gmail OAuth2 credentials and update sender email Connect Google Drive - Add Google Drive OAuth2 credentials and set folder ID for PO archival Customize Company Info - Edit company data with your company name, address, contact details Update Supplier Database - Modify supplier information in enrichment node with actual vendor details Set Approval Threshold - Adjust dollar amount requiring management approval ($5000 default) Configure Email Templates - Customize supplier email and approval request messages Add Slack Webhook - Configure Slack notification URL for procurement team alerts Test AI Agent - Submit sample order to verify AI supplier selection logic Test Complete Workflow - Run end-to-end test with real PO data to verify all integrations Customization Options Supplier Scoring Algorithm** - Adjust AI weighting for cost vs delivery speed vs quality factors Multi-Location Support** - Add multiple shipping addresses for different facilities or warehouses Budget Tracking** - Integrate departmental budgets with automatic budget consumption tracking Volume Discounts** - Configure automatic discount calculations based on order quantities Contract Compliance** - Enforce existing vendor contracts and preferred supplier agreements Multi-Currency Support** - Handle international suppliers with currency conversion and forex rates RFQ Generation** - Extend workflow to generate requests for quotes for new items Delivery Scheduling** - Integrate calendar for scheduled deliveries and receiving coordination Quality Tracking** - Add supplier performance scoring based on delivery time and quality Return Management** - Create return authorization workflows for defective items Recurring Orders** - Automate standing orders with scheduled generation Inventory Forecasting** - AI predicts reorder points based on historical consumption patterns Supplier Negotiation** - Track pricing history and flag opportunities for renegotiation Compliance Documentation** - Attach required certifications, insurance, or regulatory documents Multi-Approver Chains** - Configure complex approval hierarchies for different dollar thresholds Expected Results 90% time savings** - Reduce PO creation from 30 minutes to 3 minutes per order 50% faster supplier selection** - AI recommends optimal vendor instantly vs manual research Elimination of stockouts** - Automated reordering prevents inventory shortages 20-30% cost savings** - AI optimization identifies better pricing and supplier options 100% approval compliance** - No high-value orders bypass required approvals Zero lost POs** - Complete digital trail with automatic archival Improved supplier relationships** - Professional, consistent POs with clear requirements Faster order processing** - Suppliers receive clear POs immediately enabling faster fulfillment Better delivery predictability** - AI matches urgency to supplier capabilities reducing delays Reduced procurement overhead** - Automation eliminates manual data entry and follow-up Pro Tips Train AI with Historical Data** - Feed past successful orders to improve AI supplier recommendations Maintain Supplier Performance Scores** - Track delivery times and quality to enhance AI selection accuracy Set Smart Thresholds** - Adjust approval amounts based on department budgets and risk tolerance Use Urgency Levels Strategically** - Reserve "urgent" classification for true emergencies to optimize costs Monitor AI Recommendations** - Review AI reasoning regularly to validate supplier selection logic Integrate Inventory Triggers** - Connect to inventory systems for automatic PO generation at reorder points Establish Preferred Vendors** - Flag preferred suppliers in database for AI to prioritize when suitable Document Special Requirements** - Use special instructions field consistently for better supplier compliance Track Cost Trends** - Export PO data to analyze spending patterns and negotiation opportunities Review Alternative Suppliers** - Keep AI's alternative recommendations for backup when primary unavailable Schedule Recurring Orders** - Set up automated triggers for regular supply needs Centralize Receiving** - Use consistent ship-to addresses to simplify delivery coordination Archive Systematically** - Organize Drive folders by fiscal year, department, or supplier Test Approval Workflow** - Verify approval routing works before deploying to production Communicate AI Benefits** - Help procurement team understand AI recommendations build trust Business Impact Metrics Track these key metrics to measure workflow success: PO Generation Time** - Average minutes from request to supplier notification (target: under 5 minutes) Supplier Selection Accuracy** - Percentage of AI recommendations that meet delivery and cost expectations (target: 90%+) Approval Workflow Speed** - Average hours for high-value PO approvals (target: under 4 hours) Stockout Prevention** - Reduction in inventory shortages due to faster PO processing Cost Savings** - Percentage reduction in procurement costs from AI optimization (typical: 15-25%) Order Accuracy** - Reduction in PO errors requiring correction or cancellation Supplier On-Time Delivery** - Improvement in delivery performance from better supplier matching Procurement Productivity** - Number of POs processed per procurement staff member Budget Compliance** - Percentage of POs staying within approved departmental budgets Audit Readiness** - Time required to produce PO documentation for audits (target: under 5 minutes) Template Compatibility Compatible with n8n version 1.0 and above Requires OpenAI API access for AI agent functionality Works with n8n Cloud and Self-Hosted instances Requires HTML to PDF API service subscription No coding required for basic setup Fully customizable supplier database and selection criteria Integrates with major procurement and ERP systems via API Supports unlimited suppliers and product categories Scales to handle thousands of POs monthly Ready to transform your procurement process? Import this template and start generating intelligent purchase orders with AI-powered supplier selection, automated approval workflows, and complete procurement tracking - eliminating manual processes, preventing stockouts, and optimizing costs across your entire supply chain!