AI-Powered WhatsApp Sales Assistant with Product Brochure Knowledge
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Empower your sales team with an intelligent WhatsApp bot that instantly answers customer queries using your product brochure as a knowledge base. This workflow automates customer engagement and provides instant, accurate product information.
About This Workflow
This n8n workflow transforms your product brochure into an intelligent sales assistant accessible via WhatsApp. By ingesting a PDF product brochure and utilizing OpenAI's advanced language models, this solution provides real-time, accurate answers to customer questions directly through WhatsApp. The workflow includes robust error handling for non-text messages and leverages a vector store to efficiently query product details. It seamlessly integrates with your existing WhatsApp communication, offering a scalable and efficient way to enhance customer support and sales interactions. The system maintains conversation context, ensuring a natural and helpful user experience.
Key Features
- Instant Product Knowledge: Provides immediate answers to customer questions based on your product brochure.
- WhatsApp Integration: Seamlessly connects with WhatsApp for direct customer communication.
- AI-Powered Conversations: Utilizes advanced AI models for natural language understanding and response generation.
- Contextual Awareness: Maintains conversation history for more relevant and personalized interactions.
- Robust Error Handling: Gracefully manages non-text messages to ensure smooth operation.
How To Use
- Download Product Brochure: Configure the
HTTP Requestnode to fetch your product brochure PDF from a URL. - Extract Text Content: Use the
Extract from Filenode to parse the text from the downloaded PDF. - Prepare for AI: Employ
Embeddings OpenAIandDefault Data Loaderto process and embed the brochure's text data. - Split Text for Indexing: Utilize
Recursive Character Text Splitterto segment the text into manageable chunks for the vector store. - Create Knowledge Base: Configure
Vector Store ToolandProduct Catalogue(in-memory vector store) to index the split text, making it searchable by the AI. - WhatsApp Trigger: Set up the
WhatsApp Triggernode to listen for incoming messages. - AI Chat Interaction: Connect the
WhatsApp TriggertoOpenAI Chat ModelandWindow Buffer Memoryto process incoming messages, maintain conversation context, and query the vector store usingVector Store Tool. - Respond to User: Use the
Reply To Usernode to send AI-generated responses back to the customer via WhatsApp. - Error Handling: Implement
Reply To User1for handling non-text messages received through WhatsApp.
Apps Used
Workflow JSON
{
"id": "4ec18c90-10fa-49ee-8efb-1cbd6799d3f8",
"name": "AI-Powered WhatsApp Sales Assistant with Product Brochure Knowledge",
"nodes": 13,
"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.
Get This Workflow
ID: 4ec18c90-10fa...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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