Bridgestone EMIA boosts factory efficiency with unified data and AI-driven maintenance

Bridgestone EMIA, a global manufacturer of premium tires and rubber products, faced persistent production inefficiencies due to scattered data across factories and difficulty in benchmarking global performance. To address this, the company implemented a unified IT/OT data architecture using Microsoft Fabric, Azure AI, and Microsoft Cloud for Manufacturing. This integration provided near real-time insights and introduced conversational AI agents, enabling factory workers to troubleshoot, resolve, and optimize manufacturing quality metrics swiftly. Avanade, a joint venture between Accenture and Microsoft, partnered to design and deploy the solution, bringing deep domain expertise that helped overcome technical and organizational challenges. The AI-powered platform empowered workers to easily query and map performance data, streamline reporting, and take predictive actions rather than being solely reactive. The new environment reduced the frequency and duration of production downtimes, improved operational efficiency, reduced waste, and enhanced worker engagement. Workers now benefit from a digital approach to troubleshooting and continuous improvement, closing the loop between equipment data and frontline decision-making. This digitization initiative also serves sustainability by optimizing resource usage and waste. Bridgestone plans to expand the solution throughout its operations, with a future-proof, scalable architecture.