AI-Powered Customer Support for Websites via WhatsApp

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This advanced n8n workflow creates an AI-powered customer support system that seamlessly integrates with WhatsApp to provide real-time, automated responses based on live website data. It leverages web crawling, text extraction, and natural language processing to deliver accurate and contextually relevant answers to customer inquiries. The workflow begins with a WhatsApp trigger to detect incoming messages. It then uses an AI agent with a custom URL crawling strategy to fetch and analyze webpage content related to user questions, seeking specific information. The system also checks the recency of customer interactions to maintain timely communication. If communication is overdue, it can automatically send a pre-approved message to reopen the conversation. The system stores conversation history in a Postgres database for future reference and runs with cost-effective subscriptions, ideal for businesses wanting an intelligent support bot without high ongoing costs. This setup is suitable for ecommerce, service providers, or any business needing instant, reliable customer support channels that stay up-to-date with website content.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.toolHttpRequest, code, if, stickyNote, whatsApp, whatsAppTrigger

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