Supply Chain Delay Monitoring with AI & Data Logging

This n8n workflow automates the monitoring and analysis of supply chain delays by integrating webhook data input, text processing, semantic embedding, and AI-powered insights. When a supply chain delay report is received through the webhook, the workflow processes the message, generates embeddings, and stores the information in a vector database for semantic search. It also includes an AI agent that defines and interprets supply chain issues, communicates insights via language models, and logs all activities into a Google Sheet for record-keeping. This automation is ideal for supply chain managers or logistics teams aiming to proactively monitor delays and streamline decision-making based on AI-driven insights.