IoT KPI Monitoring and Reporting Workflow

This n8n workflow automates the collection, analysis, and reporting of Industrial Internet of Things (IoT) Key Performance Indicators (KPIs). Designed for real-time monitoring, it triggers via a webhook when new data arrives. The workflow splits incoming text data for detailed analysis, generates embeddings for semantic understanding, and stores these in a Redis vector database. It can query the stored data to retrieve relevant information, utilize OpenAI’s language models for insights or report generation, and append results to a Google Sheets log. This setup is useful for industrial environments where continuous KPI tracking and reporting are critical, enabling actionable insights and collaborative data sharing.