Building Your First WhatsApp AI Sales Chatbot
Build a WhatsApp sales agent chatbot powered by OpenAI and a product catalog vector store for intelligent customer responses.
This n8n workflow template introduces users to creating a WhatsApp chatbot that functions as an AI-powered sales agent. It imports a product brochure via HTTP, extracts text, and builds an in-memory vector store as a knowledge base. Incoming WhatsApp messages trigger the AI Agent, which queries the vector store to provide accurate product information before responding to users.
The workflow filters non-text messages, ensuring smooth text-based interactions. It's designed for quick setup: test to populate the vector store, then activate for live use. Benefits include automated customer support, reduced response times, and scalable sales assistance without constant human intervention.
Ideal for e-commerce businesses, small teams, or anyone starting with WhatsApp automation. Customize by upgrading to persistent vector stores like Qdrant, adding multimedia handling, or integrating more data sources. Requirements are a WhatsApp Business Account and OpenAI API, making it accessible yet powerful for production tweaks.
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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