Automated WhatsApp Sales Assistant with AI Product Knowledge
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Empower your sales team with an AI assistant that answers product inquiries directly via WhatsApp. This workflow leverages advanced AI models and your product brochures to provide instant, accurate information to customers.
About This Workflow
This n8n workflow transforms your product brochures into an intelligent sales assistant accessible through WhatsApp. It begins by downloading your product PDF, extracting its text content, and then processing it into a searchable vector store using OpenAI's embedding models. When a customer sends a message via WhatsApp, the workflow triggers an OpenAI chat model, which can query the product brochure using a specialized tool. This allows the AI to provide detailed answers to product-related questions, acting as a 24/7 sales support agent. The conversation history is maintained using window buffer memory, ensuring context is preserved for a natural interaction.
Key Features
- Instant WhatsApp Responses: Engage customers immediately with automated replies via WhatsApp.
- AI-Powered Product Knowledge: Leverage OpenAI's GPT-4o to understand and answer complex product questions.
- Dynamic Brochure Q&A: Utilizes product brochures as a knowledge base for accurate information retrieval.
- Contextual Conversations: Maintains conversation history for a more natural and helpful user experience.
- Customizable Sales Tool: Easily adapt and expand with different product documents and AI models.
How To Use
- Configure WhatsApp Trigger: Set up the
WhatsApp Triggernode to listen for incoming messages on your WhatsApp Business API number. - Download Product Brochure: Use the
get Product BrochureHTTP Request node to download your product PDF. Ensure the URL is correct and accessible. - Extract Text from PDF: Connect the
get Product Brochurenode to theExtract from Filenode to get the raw text from the PDF. - Process and Embed Data: Chain the
Extract from Filenode toDefault Data Loader, thenRecursive Character Text Splitter, and finallyEmbeddings OpenAIto prepare your product data for AI processing. - Create Product Catalogue: Use the
Product Cataloguenode (Vector Store Tool) to store the embedded product information. - Configure AI Chat Model: Set up the
OpenAI Chat Modelnodes with your desired GPT model and connect them to theWindow Buffer MemoryandVector Store Toolto enable intelligent querying. - Send Replies: Connect the final AI output to the
Reply To Usernode to send AI-generated responses back to the customer via WhatsApp.
Apps Used
Workflow JSON
{
"id": "ac256319-a3cd-408e-bc93-c03e0e577fdd",
"name": "Automated WhatsApp Sales Assistant with AI Product Knowledge",
"nodes": 17,
"category": "Sales",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: ac256319-a3cd...
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