This n8n workflow automates the process of handling customer inquiries about shoes via a webhook. Its main purpose is to receive customer messages, extract detailed shoe preferences like brand, model, size, and color using AI, filter a product database stored in Google Sheets to find matching items, and generate a friendly, informative response about product availability, pricing, and alternatives. The workflow begins with a webhook trigger that captures customer messages, which are then processed through OpenAI’s GPT-3.5 or GPT-4 models to parse shoe details. The extracted data is used to filter a Google Sheets inventory for matching products. Finally, an AI-generated, friendly reply is formulated and sent back via the webhook response, making it ideal for automating customer service inquiries in shoe retail or similar eCommerce scenarios.

Node Count	6 – 10 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, googleSheets, respondToWebhook, stickyNote, webhook