This n8n workflow automates the process of managing inventory alerts by integrating AI, vector search, and Slack notifications. When inventory data is received via a webhook, the workflow processes and analyzes the information, stores and queries vector embeddings for contextual understanding, and uses a language model to generate insights. If an issue or alert is identified, it logs the details into Google Sheets, ensuring record-keeping. Additionally, it sends real-time alerts to a Slack channel. This setup is useful for inventory management teams needing automated, intelligent notifications and record updates based on inventory data changes.
Automated Inventory Alert System via Slack and AI
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.lmChatOpenAi, @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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