WhatsApp FAQ Auto-Reply using Postgres Database Module
Automates instant responses to customer FAQs on WhatsApp by querying a Postgres database, with options for escalation to live support.
This n8n workflow enables businesses to handle common customer inquiries automatically on WhatsApp. It stores questions and answers in a Postgres database and uses a modular FAQ system to match incoming messages against stored FAQs, delivering precise replies instantly. If no match is found, customers can request a consultation with a manager, ensuring seamless support.
Key benefits include reduced manual response time, 24/7 availability for basic queries, scalable FAQ management via database, and integration with WhatsApp Business API for professional messaging. It minimizes support team workload while maintaining high customer satisfaction through quick, accurate information access.
Ideal for e-commerce stores, service providers, or any WhatsApp-heavy business like booking services or tech support. Use cases: Automating product FAQs, troubleshooting guides, appointment info, or policy questions. Setup requires running a provided SQL script for Postgres tables and configuring WhatsApp/Postgres credentials.
Customization is straightforward: Update schema name, populate Q&A data, tweak reply messages, or extend with advanced matching logic. This workflow saves hours weekly on repetitive queries, boosting efficiency in customer support operations.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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