This n8n workflow automates the monitoring of low stock levels and seamlessly notifies a Discord channel while logging the event details. It begins with a webhook trigger that receives stock data, then processes and splits the text for analysis. The workflow utilizes AI models to embed data and store it in a Pinecone vector database, enabling efficient similarity searches. It employs a retrieval-augmented generation (RAG) agent to interpret the data and decide if alerts are necessary. When low stock is detected, it logs the information in Google Sheets and sends an alert message to a designated Discord channel. This workflow is ideal for inventory management systems that require real-time alerts and logging for low stock items, ensuring prompt action and effective record-keeping.
Automated Low Stock Monitoring and Notification via Discord
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePinecone, googleSheets, slack, stickyNote, webhook |
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