Automated Inventory Restock Forecasting Workflow

This n8n workflow automates the process of generating inventory restock forecasts by integrating webhooks, AI-based text processing, and data storage. Upon receiving inventory data via a webhook, the workflow splits the text into manageable chunks, generates embeddings for semantic analysis using Cohere, and stores these vectors in a Supabase vector database. It then queries the database for similar data points, enabling intelligent forecasting. The workflow employs a language model from Anthropic to analyze or generate insights, which are logged into a Google Sheet for record-keeping. This setup is particularly useful for retail or warehouse management teams seeking to automate and enhance their inventory forecasting with AI insights.