AI Shopping Assistant with Memory and Google Sheets

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This n8n workflow creates an AI-powered shopping assistant that interacts with customers in real-time, providing inventory details, order tracking, and return policy information. It leverages OpenAI’s GPT model for natural language understanding and Zep Memory for maintaining conversation context. The workflow is triggered by incoming chat messages via a webhook, which are then processed through an AI agent that utilizes Google Sheets to manage product data, order details, and return policies.

The process begins with a chat trigger node that listens for user messages. The message is sent to the AI Agent node, configured with system prompts and options to act as a friendly shopping assistant. The AI Agent analyzes the user’s queries and interacts with different Google Sheets nodes to fetch relevant data:

– Inventory status and product details

– Order status and delivery estimates

– Return policies and procedures

The workflow is designed for eCommerce customer support, enabling businesses to automate responses to common questions about product availability, order updates, and returns. It ensures concise, polite, human-like interactions while maintaining context using Zep Memory, resulting in an efficient and scalable customer service solution.

Node Count

6 – 10 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryZep, googleSheetsTool, stickyNote

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