Slack and Supabase integration

Facebook Story Replies → Telegram “Human Required” Routing + Supabase CRM This workflow automatically captures Facebook Story replies, normalizes incoming webhook payloads, stores them in Supabase, assigns them to the correct regional support team based on UTC time, and sends real-time notifications to Slack and Telegram. This workflow listens to Facebook Story reply webhooks, converts raw payloads into a clean data structure, saves each reply in Supabase with a pending status, and automatically assigns it to the Asia or Europe support team based on the current UTC time. Once assigned, notifications are sent to Slack and Telegram, ensuring no customer reply is missed. You receive: Real-time Facebook Story reply ingestion** Automatic support team assignment (Asia / Europe)** Centralized Supabase storage** Instant Slack & Telegram notifications** Alerts for replies outside support hours** Ideal for support teams handling high volumes of social media interactions with strict response-time requirements. Quick Start – Implementation Steps Add your Facebook Webhook credentials and verify the callback URL. Connect Supabase credentials and confirm the replies table exists. Configure UTC-based time window logic for your support regions. Connect Slack credentials and select the notification channel. Add Telegram Bot Token and target chat ID. Activate the workflow — live reply handling starts instantly. What It Does This workflow automates end-to-end handling of Facebook Story replies: Receives Story reply events from Facebook via webhook. Normalizes incoming payloads into a structured format. Stores replies in Supabase with a pending status. Checks current UTC time to identify the active support window. Assigns replies to Asia or Europe support teams. Updates reply status to assigned when routing succeeds. Sends notifications to Slack and Telegram. Raises alerts for replies outside support hours. Logs all actions for auditing and follow-up. This ensures consistent handling, assignment, and visibility of customer interactions. Who’s It For This workflow is ideal for: Social media support teams Customer success teams Digital marketing teams E-commerce support operations SaaS companies handling Facebook DMs Businesses requiring timezone-based support routing Requirements to Use This Workflow To run this workflow, you need: n8n instance** (cloud or self-hosted) Facebook App** with Webhook access Supabase project** + API credentials Slack workspace** with API permissions Telegram Bot Token** and chat ID Basic understanding of JSON payloads and UTC time logic How It Works Webhook Listener – Receives Facebook Story reply events. Normalize Payload – Converts raw webhook data into a clean format. Save to Supabase – Stores reply with pending status. Time Window Check – Evaluates current UTC time. Assign Support Team – Routes to Asia or Europe team. Update Status – Marks reply as assigned. Send Notifications – Alerts Slack and Telegram. Alert Handling – Flags replies outside support hours. Setup Steps Import the workflow JSON into your n8n instance. Configure the Facebook Webhook node and verify it with your Facebook App. Connect Supabase credentials and ensure the replies table includes: id platform story_id sender_id sender_name message status assigned_to timestamps Adjust support time windows (UTC) in the IF/Switch node. Connect Slack API credentials and choose the notification channel. Add Telegram Bot Token and chat ID. Test using sample Facebook Story reply payloads. Activate the workflow — production ready. How To Customize Nodes Customize Support Hours Modify the time-check logic node to: Change Asia / Europe support windows Add additional regions Handle weekends or holidays Customize Supabase Storage You can extend the table with: Response SLA Agent name Resolution status Follow-up notes Raw webhook payload Customize Notifications Slack & Telegram messages can include: Mentions (@channel, @support) Emojis for priority Direct links to CRM or dashboard Highlighted urgent keywords Customize Assignment Logic You may: Route based on message content Assign by priority or keywords Add AI-based sentiment classification Use round-robin agent assignment Add-Ons (Optional Enhancements) You can extend this workflow to: Add sentiment analysis (OpenAI) Auto-reply with predefined responses Create SLA breach alerts Integrate with CRM tools Generate daily or weekly reports Add dashboard visualization in Supabase Escalate urgent replies automatically Use Case Examples Social Media Support Routing Automatically assign story replies to the correct regional team. SLA Enforcement Ensure replies are handled within working hours. Multi-Channel Alerts Notify teams instantly via Slack and Telegram. Centralized Reply Tracking Store all interactions in Supabase for audits. Scalable Support Automation Handle growing message volumes without manual routing. Troubleshooting Guide | Issue | Possible Cause | Solution | |----------------------|--------------------------|-----------------------------------------------| | No webhook data | Webhook not verified | Re-check Facebook webhook verification | | Replies not assigned | Time logic mismatch | Validate UTC time windows | | No Slack alert | Invalid credentials | Reconnect Slack API | | Supabase insert fails| Column mismatch | Match table schema exactly | | Telegram alert missing | Wrong chat ID | Verify bot permissions | | Workflow inactive | Workflow not activated | Enable workflow | Need Help? If you need help extending this workflow like adding AI analysis, advanced routing logic, CRM integration or scaling it for high-volume social channels, our n8n team at WeblineIndia can assist with enterprise-grade automation solutions.

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(Retail) Customer Cleanup API → Supabase and send Notification This workflow provides an API-first solution to validate, clean, deduplicate and store customer data in Supabase. It ensures consistent customer records, prevents duplicates and keeps both internal teams and customers informed through automated notifications. This workflow acts as a backend customer intake API. It validates and normalizes incoming customer data, checks for existing users in Supabase, stores new customers safely and returns clear API responses. Internal teams receive Slack and Telegram updates, while customers get an email confirmation on successful creation. You receive: Centralized customer data validation** Automatic duplicate prevention** Supabase-backed customer storage** Real-time API responses** Team notifications + user confirmation email** Ideal for retail, e-commerce and SaaS teams that want clean customer data without manual intervention. Quick Start – Implementation Steps Import the provided n8n workflow JSON. Configure Supabase credentials with read/write access. Connect Slack, Telegram and Gmail/SMTP credentials. Copy the Webhook URL and use it as your customer intake API. Activate the workflow — your customer API is live. What It Does This workflow automates customer data intake and processing: Receives customer data via a POST API call. Cleans and normalizes names, email and phone numbers. Validates required fields and formats using JavaScript. Aggregates clear, field-specific validation errors. Checks Supabase to prevent duplicate users. Stores valid, new customers in Supabase. Returns structured API responses (success, validation error or duplicate). Sends notifications to Slack and Telegram. Emails the customer after successful account creation. This ensures reliable, consistent customer records across systems. Who’s It For This workflow is ideal for: Retail and e-commerce platforms CRM and customer data teams SaaS product teams Backend automation teams Marketing teams needing clean contact lists Developers building API-driven systems Requirements to Use This Workflow To run this workflow, you need: n8n instance** (cloud or self-hosted) Supabase project** with a customers table Supabase service role key Slack workspace** with API access Telegram bot** + chat ID Gmail or SMTP account** for user notifications How It Works API Request – Client sends customer data to the webhook endpoint. Validation & Cleanup – JavaScript validates and formats data. Validation Fail – Returns 400 response with clear error messages. Duplicate Check – Supabase is queried using the email address. Duplicate Found – Returns 409 response without creating a record. Create Customer – New customer is saved in Supabase. Success Response – API confirms successful creation. Notifications – Slack, Telegram and customer email are triggered. Setup Steps Create a Supabase table with fields for customer data, validation status and errors. Add Supabase credentials to n8n. Import the workflow JSON into n8n. Configure the Webhook node and copy the API URL. Review the validation logic if custom rules are required. Configure Slack, Telegram and email credentials. Test using Postman for invalid, duplicate and valid requests. Activate the workflow. How To Customize Nodes Customize Validation Rules Update the JavaScript validation node to add country-specific phone rules or additional fields. Customize Duplicate Logic Extend duplicate checks to include phone numbers or other identifiers. Customize Notifications Modify Slack and Telegram messages, add emojis, mentions or execution metadata. Add-Ons (Optional Enhancements) You can extend this workflow to: Add API key authentication Enable rate limiting Log failed attempts separately Support multi-country phone validation Add CRM or email marketing sync Implement soft deletes or upserts Use Case Examples Customer Registration API Centralize customer creation for web and mobile apps. Data Hygiene Automation Prevent invalid or duplicate contacts in your database. Retail & CRM Integration Keep customer records consistent across systems. Marketing Readiness Ensure only clean, valid contacts enter campaigns. Troubleshooting Guide | Issue | Possible Cause | Solution | | ----------------------- | ----------------------------- | ----------------------------------- | | Validation always fails | Incorrect payload structure | Ensure data is sent in request body | | Duplicate user created | Duplicate check misconfigured | Verify Supabase filter conditions | | No Slack alert | Invalid credentials | Reconnect Slack API | | No email sent | Gmail/SMTP not configured | Verify sender account | | API not responding | Webhook not active | Activate the workflow | Need Help? If you need help customizing or extending this workflow, adding authentication, scaling for high traffic, integrating CRMs or enhancing validation, the n8n automation team at WeblineIndia can assist you with production-ready automation and integration support. Contact us today.

Zoho CRM Deal Forecasting with External Market Factor This workflow automatically fetches active deals from Zoho CRM, retrieves real-time market signals, calculates AI-enhanced forecast metrics, evaluates deal-market alignment, stores data in a database, updates CRM, and sends a summary alert to Slack. This workflow runs weekly to help sales teams make data-driven decisions. It fetches all open deals from Zoho, calculates expected revenue using deal amount, probability, seasonal trends, and market signals. An AI node evaluates each deal’s match ratio against current market conditions. Forecasts and AI insights are stored in a database and written back into Zoho. A Slack message summarizes the key metrics for easy review. You receive: Weekly automated deal forecast**. AI-powered deal-market alignment insights**. Database storage for historical trends**. Slack summary notifications**. Ideal for sales teams wanting real-time insights into pipeline health and market alignment without manual calculations. Quick Start – Implementation Steps Import the provided n8n workflow JSON file. Add your Zoho CRM credentials in all relevant nodes. Add your AlphaVantage API key in the Market Signal node. Connect your Slack credentials and select the channel for alerts. Connect your Supabase (or preferred database) account for storing forecasts. Activate the workflow — it will run automatically on the configured weekly schedule. What It Does This workflow automates deal forecasting with AI-enhanced insights: Fetches all active deals from Zoho CRM. Retrieves real-time market data (SPY index) from AlphaVantage. Combines deal and market data for forecast calculations. Calculates expected revenue using: Deal amount Probability Seasonal factors Market signals Sends deal data to an AI node for match ratio, confidence level, and reasoning. Parses AI output and merges it with forecast data. Stores forecast & AI metrics in a database (Supabase). Updates Zoho CRM with adjusted forecast and AI insights. Sends a summary alert to Slack including: Deal name and stage Amount, probability, and expected revenue Market signal and seasonal factor AI match ratio and confidence This ensures teams see clear, actionable sales insights every week. Who’s It For This workflow is ideal for: Sales managers and CRM admins Revenue operations teams Forecasting analysts Teams using Zoho CRM and Slack for pipeline management Anyone wanting AI insights on market alignment for deals Requirements to Use This Workflow To run this workflow, you need: n8n instance** (cloud or self-hosted) Zoho CRM account** with API access AlphaVantage API key** for market data Slack workspace** with API permissions Supabase or other database** for storing forecasts Basic understanding of deals, probabilities, and seasonal forecasting How It Works Weekly Trigger – Workflow runs automatically once a week. Fetch Deals – Retrieves all active deals from Zoho CRM. Get Market Signal – Fetches real-time market data. Combine Deal & Market Info – Merges deal and market datasets. Generate Forecast Metrics – Calculates expected revenue using deal info, seasonality, and market influence. AI Deal Match Evaluator – AI evaluates alignment of each deal with market conditions. Parse AI Output & Merge Forecast – Parses AI response and combines with forecast data. Store Forecast in Database – Saves forecast and AI insights to Supabase. Update Deal Forecast in Zoho – Updates deals with adjusted forecast and AI insights. Send Forecast Summary to Slack – Sends a clear summary with key metrics. Setup Steps Import the workflow JSON file into n8n. Add Zoho credentials for deal fetch and update nodes. Add AlphaVantage API key for market signal node. Configure Supabase node to store forecast data. Add Slack credentials and choose a channel for notifications. Test the workflow manually to ensure metrics are calculated correctly. Activate the weekly trigger. How To Customize Nodes Forecast Calculation Modify Generate Forecast Metrics node to adjust seasonal factors or calculation logic. AI Match Evaluation You can tweak prompts in Message a Model to adjust AI scoring logic or reasoning output. Database Storage Supabase node can include additional fields: Timestamp Deal owner Notes or comments Additional KPIs Slack Alerts Customize message format, emojis, or mentions for team readability. Add-Ons (Optional Enhancements) Integrate multiple market indices for more accurate forecasting. Add multi-stage probability adjustments. Create dashboards using stored forecast data. Extend AI evaluation for risk scoring or priority recommendations. Use Case Examples Pipeline Health Quickly see which deals are aligned with market conditions. Forecast Accuracy Track historical vs AI-enhanced forecasts for trend analysis. Team Notifications Slack summary alerts keep sales and leadership informed weekly. Troubleshooting Guide | Issue | Possible Cause | Solution | |-------|----------------|---------| | No Slack alerts | Invalid credentials | Re-check Slack API key and channel | | Forecast not updating | Zoho API error | Verify Zoho OAuth credentials | | AI node fails | Model misconfiguration | Check OpenAI API credentials & prompt format | | Data not stored | Supabase connection issue | Verify credentials and table mapping | Need Help? If you need assistance setting up the workflow, modifying the AI forecast logic or integrating Slack summaries our n8n workflow development team at WeblineIndia can help. We provide workflow customization, advanced forecasting and reporting solutions for Zoho CRM pipelines.

Facebook Page Comment Moderation Scoreboard → Team Report This workflow automatically monitors Facebook Page comments, analyzes them using AI for intent, toxicity & spam, stores moderation results in a database and sends a clear summary report to Slack and Telegram. This workflow runs every few hours to fetch Facebook Page comments and analyze them using OpenAI. Each comment is classified as positive, neutral or negative, checked for toxicity, spam & abusive language and then stored in Supabase. A simple moderation summary is sent to Slack and Telegram. You receive: Automated Facebook comment moderation AI-based intent, toxicity, and spam detection Database logging of all moderated comments Clean Slack & Telegram summary reports Ideal for teams that want visibility into comment quality without manually reviewing every message. Quick Start – Implementation Steps Import the workflow JSON into n8n. Add your Facebook Page access token to the HTTP Request node. Connect your OpenAI API key for comment analysis. Configure your Supabase table for storing moderation data. Connect Slack and Telegram credentials and choose target channels. Activate the workflow — moderation runs automatically. What It Does This workflow automates Facebook comment moderation by: Running on a scheduled interval (every 6 hours). Fetching recent comments from a Facebook Page. Preparing each comment for AI processing. Sending comments to OpenAI for moderation analysis. Extracting structured moderation data: Comment intent Toxicity score Spam detection Abusive language detection Flagging risky comments based on defined rules. Storing moderation results in Supabase. Generating a summary report. Sending the report to Slack and Telegram. This ensures consistent, repeatable moderation with no manual effort. Who’s It For This workflow is ideal for: Social media teams Community managers Marketing teams Customer support teams Moderation and trust & safety teams Businesses managing high-volume Facebook Pages Anyone wanting AI-assisted comment moderation Requirements to Use This Workflow To run this workflow, you need: n8n instance** (cloud or self-hosted) Facebook Page access token** OpenAI API key** Supabase project and table** Slack workspace** with API access Telegram bot** and chat ID Basic understanding of APIs and JSON (helpful but not required) How It Works Scheduled Trigger – Workflow starts automatically every 6 hours. Fetch Comments – Facebook Page comments are retrieved. Prepare Data – Comments are formatted for processing. AI Moderation – OpenAI analyzes each comment. Normalize Results – AI output is cleaned and standardized. Store Data – Moderation results are saved in Supabase. Aggregate Stats – Summary statistics are calculated. Send Alerts – Reports are sent to Slack and Telegram. Setup Steps Import the workflow JSON into n8n. Open the Fetch Facebook Page Comments node and add: Page ID Access token Connect your OpenAI account in the AI moderation node. Create a Supabase table and map fields correctly. Connect Slack and select a reporting channel. Connect Telegram and set the chat ID. Activate the workflow. How To Customize Nodes Customize Flagging Rules Update the normalization logic to: Change toxicity thresholds Flag only spam or abusive comments Add custom moderation rules Customize Storage You can extend Supabase fields to include: Language AI confidence score Reviewer notes Resolution status Customize Notifications Slack and Telegram messages can include: Emojis Mentions (@channel) Links to Facebook comments Severity labels Add-Ons (Optional Enhancements) You can extend this workflow to: Auto-hide or delete toxic comments Reply automatically to positive comments Detect language and region Generate daily or weekly moderation reports Build dashboards using Supabase or BI tools Add escalation alerts for high-risk comments Track trends over time Use Case Examples Community Moderation Automatically identify harmful or spam comments. Brand Reputation Monitoring Spot negative sentiment early and respond faster. Support Oversight Detect complaints or frustration in comments. Marketing Insights Measure positive vs negative engagement. Compliance & Auditing Keep historical moderation logs in a database. Troubleshooting Guide | Issue | Possible Cause | Solution | |-----|---------------|----------| | No comments fetched | Invalid Facebook token | Refresh token & permissions | | AI output invalid | Prompt formatting issue | Use strict JSON prompt | | Data not saved | Supabase mapping mismatch | Verify table fields | | Slack message missing | Channel or credential error | Recheck Slack config | | Telegram alert fails | Wrong chat ID | Confirm bot permissions | | Workflow not running | Trigger disabled | Enable Cron node | Need Help? If you need help customizing, scaling or extending this workflow — such as advanced moderation logic, dashboards, auto-actions or production hardening, then our n8n workflow development team at WeblineIndia can assist with expert automation solutions.

This n8n template automates your customer support workflow by connecting Gmail, OpenAI, Supabase, and Slack. It listens for new incoming emails, classifies them using AI, routes them to the appropriate Slack channel based on category (e.g., support or new requests), logs each thread to Supabase for tracking, and marks the email as read once processed. Good to know • The OpenAI API is used for automatic email classification, which incurs a small per-request cost. See OpenAI Pricing for up-to-date info. • You can easily expand the categories or connect more Slack channels to fit your workflow. • The Supabase integration ensures you don’t process the same thread twice. How it works Gmail Trigger checks for unread emails. Supabase Get Row verifies if the thread already exists. If it’s a new thread, the OpenAI node classifies the email into categories such as “support” or “new-request.” The Switch node routes messages to the correct Slack channel based on classification. Supabase Create Row logs thread details (sender, subject, IDs) to your database. Finally, the Gmail node marks the message as read to prevent duplication. How to use • The workflow uses a manual Gmail trigger by default, but you can adjust the polling frequency. • Modify category names or Slack channels to match your internal setup. • Extend the workflow to include auto-replies or ticket creation in your CRM. Requirements • Gmail account (with OAuth2 credentials) • Slack workspace (with channel access) • OpenAI account for classification • Supabase project for storing thread data Customizing this workflow Use this automation to triage incoming requests, route sales leads to specific teams, or even filter internal communications. You can add nodes for auto-responses, CRM logging, or task creation in Notion or ClickUp.