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 |
|---|---|
| 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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