Automated Lead Qualification and Ecommerce Chatbot Workflow

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This n8n workflow integrates AI-powered conversations for lead qualification and ecommerce support. It automates the process of screening potential bulk order customers, providing instant product pricing, handling inquiries about custom orders, and ending interactions when appropriate. The workflow starts with sample data generation mimicking customer transcripts, which are then analyzed by a GPT-4-based AI model to classify leads as good or not based on specified criteria. Additionally, a chatbot handles real-time customer interactions through webhooks, responding with product information, bulk pricing, and logistics details. The workflow leverages OpenAI’s GPT-4 models, Langchain nodes for language processing, and manual triggers for testing, making it ideal for ecommerce stores aiming to automate customer qualification and support conversations efficiently.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.outputParserStructured, code, if, manualTrigger, noOp, set, stickyNote

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