Shopfloor Copilot: An AI-powered manufacturing execution system
Shopfloor Copilot is an AI-enhanced Manufacturing Execution System (MES) designed to modernize industrial monitoring through intelligent decision support and real-time data analysis. A personal R&D project exploring AI-driven MES concepts: OEE monitoring, OPC UA connectivity, predictive maintenance, and local AI inference. A technology demonstrator — not available for production use.
For manufacturing engineers, Shopfloor Copilot enables real-time OEE monitoring and analysis. It provides AI-grounded diagnostics to identify root causes of downtime, leading to improved production efficiency.
For maintenance technicians, Shopfloor Copilot offers AI-powered troubleshooting guidance based on machine data and documentation. It provides step-by-step resolution for errors, reducing repair time and minimizing production interruptions.
For production supervisors, Shopfloor Copilot facilitates structured digital shift handovers with auto-populated issues and summaries. This ensures seamless transitions between shifts and maintains operational continuity.
For quality control analysts, Shopfloor Copilot analyzes production data to identify patterns and predict defect risks. It helps pinpoint the root causes of quality issues, enabling proactive measures to improve product quality.
Shopfloor Copilot is a personal R&D project and a technology demonstrator, not a commercial product. Therefore, it is not available for purchase or use in production environments, and there is no associated cost or free tier.
As Shopfloor Copilot is a technology demonstrator and not a commercial product, there is no pricing information available. It was developed as a personal R&D project to explore AI-driven MES concepts.
Workerbase offers an AI Shopfloor Copilot designed for frontline manufacturing workers, providing instant, context-aware guidance. It integrates with existing systems and learns from worker behavior to offer solutions for error troubleshooting, quality checks, and more.
Shopfloor Copilot is designed with a local-first privacy approach, running all AI inference on-premise via local LLMs and vector stores. This means production data does not leave the server, aiming to prevent PII leakage and enhance security.
Shopfloor Copilot's platform capabilities are accessible via a PWA (Progressive Web App) and can be used on mobile devices. This allows for shop floor access to features like real-time OEE dashboards and the operator Q&A knowledge assistant.
Shopfloor Copilot is deployed using Docker and Docker Compose on Linux. It can be run on standard hardware, with minimal setup requirements for pilot deployments and evaluation environments.
Shopfloor Copilot is designed for on-premise deployment on Linux systems using Docker. Its frontend is built with NiceGUI, Vue.js/Quasar, and Tailwind CSS, supporting PWA and mobile access.
We're still verifying the official pricing for Shopfloor Copilot. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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