Automate Inventory Restock Forecasting with AI and Webhooks
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This n8n workflow automates inventory restock forecasting by using Webhooks to receive data, LangChain nodes for AI processing, and Google Sheets for logging. It leverages vector stores and LLMs to predict future inventory needs.
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About This Workflow
Overview
This workflow automates the critical process of inventory restock forecasting. It's designed to proactively identify when inventory levels might become low, allowing businesses to reorder supplies before stockouts occur. The workflow leverages a webhook to receive incoming inventory data, processes it using LangChain's text splitting and embedding capabilities, and stores this information in a Supabase vector store for intelligent querying. An AI agent then uses this data, along with memory and an LLM, to generate forecasting insights. Finally, the results are logged to a Google Sheet for easy review and action. This approach is particularly useful for manufacturing and retail businesses with dynamic inventory needs.
Key Features
- Real-time data ingestion via Webhook.
- AI-powered text splitting and embedding for intelligent data processing.
- Supabase vector store for efficient data retrieval and analysis.
- AI agent with memory and LLM integration for advanced forecasting.
- Automated logging of forecast results to Google Sheets.
How To Use
- Configure the Webhook node to receive inventory data from your source system.
- Set up the Splitter and Embeddings nodes to process and embed your inventory data using the chosen AI model (Cohere in this example).
- Configure the Insert node to store the embedded data into your Supabase vector store.
- Set up the Query node to retrieve relevant data from the Supabase vector store.
- Configure the Tool and Agent nodes to define the AI's reasoning process and utilize the vector store and memory.
- Connect the Chat node with your preferred LLM provider (Anthropic in this example).
- Configure the Sheet node to log the forecasting results to your Google Sheet.
Apps Used
Workflow JSON
{
"id": "a986e006-5a63-4e75-a17c-f8313678de7d",
"name": "Automate Inventory Restock Forecasting with AI and Webhooks",
"nodes": 0,
"category": "Manufacturing Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: a986e006-5a63...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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