Event Follow-Ups with Multi-Channel Outreach
After an event, the agent enriches attendee data with LinkedIn insights, scores lead priority using GPT-4.
13 use cases in this directory put PostgreSQL to work. The heaviest use sits in Operations with 6, then Customer Support (2) and Finance & Accounting (2). Built with E-commerce Operator in mind (5), with founders and execs (4) next, the setup still transfers cleanly elsewhere. In practice PostgreSQL rarely runs alone: it pairs most often with OpenAI (7 shared), WhatsApp (4 shared) and Gmail (2 shared). 10 fire on an event and 3 run on a schedule across the set, and 11 run hands-off and 2 keep you in the loop. You will find recipes such as "Inventory Forecasting and Ordering", "Restaurant Customer Service Automation" and "WhatsApp Appointment Scheduling with Google Calendar". Take "Inventory Forecasting and Ordering": every 6 hours, the agent checks stock and sales to predict demand via AI, then auto-orders from suppliers and logs everything in your ERP. Another, "Restaurant Customer Service Automation", automates restaurant WhatsApp support by detecting intent to answer menu or hours queries and processing table bookings into a database. The dominant pattern is Transact/Negotiate. Pick one below and adapt it to your own stack.
After an event, the agent enriches attendee data with LinkedIn insights, scores lead priority using GPT-4.
Every 6 hours, the agent checks stock and sales to predict demand via AI, then auto-orders from suppliers and logs everything in your ERP.
Engages leads across WhatsApp, Instagram, Facebook, Telegram, and web chat using RAG for answers, Airtable for CRM.
Ingests wearable health data via webhook to calculate risk scores against historical patterns and triggers alerts when thresholds are...
Receives real estate inquiries via webhook, extracts preferences using LLMs, matches properties from PostgreSQL.
Instantly texts new website leads to qualify them via chat, logging budget and preferences to Google Sheets.
Automates restaurant WhatsApp support by detecting intent to answer menu or hours queries and processing table bookings into a database.
Handles voice bookings, orders, and info requests by extracting details via VAPI and saving them to PostgreSQL with immediate voice...
Every weekday at 5 PM, it checks your stocks for Golden or Death Cross signals and alerts Discord if a trend change occurs.
Monitors usage signals to predict churn 15 days out, triggering personalized retention emails and handling payment failures automatically.
Every morning at 9 AM, the agent reviews your Asana tasks, uses AI to pick the single most critical one with reasoning.
Customers book via WhatsApp link; the system checks availability, creates a Google Calendar event, and logs details in Postgres.
Send natural language messages to WhatsApp to log expenses or generate financial reports, with data stored in PostgreSQL.