Medtronic, a leading medical device manufacturer, identified an opportunity to optimize their process for identifying critical raw materials within their extensive range of products. This improvement was crucial for maintaining their product development timelines, controlling costs and ensuring competitiveness in the market. Recognizing the importance of managing how to identify raw materials quickly, Medtronic executives sought a more effective solution. To address this, the company partnered with IBM and leveraged innovative artificial intelligence (AI) to develop an automation solution for intricate engineering drawing analyses.
Through close collaboration between Medtronic's Global Operations and Supply Chain (GO&SC) Analytics & Insights team, Global Supplier Management team and IBM, a tailored gen AI solution emerged. It combined the precision of Azure Document Intelligence Optical Character Recognition (OCR) technology with the creative and verified abilities of the retrieval-augmented generation (RAG) framework powered by Azure OpenAI models. The solution extracted vital material information from intricate engineering drawings with unprecedented accuracy rates up to 90%.
The partnership between Medtronic and IBM led to several quantifiable benefits that significantly enhanced Medtronic’s operational efficiency and accuracy. The implementation of the Microsoft GenAI solution—powered by IBM Consulting —resulted in a 90% accuracy rate in extracting vital material information from engineering drawings. This impressive accuracy not only set new industry standards but also drastically reduced the need for manual verification, allowing Medtronic to reallocate valuable human resources to more strategic tasks. Additionally, the solution demonstrated over 85% accuracy in part number extraction, further minimizing errors and streamlining the identification process. These improvements translated into substantial time savings and reduced operational costs, underscoring the tangible impact of the innovative AI technology.
Moreover, the convergence of OCR technology from Azure Document Intelligence and the RAG framework fueled by Azure OpenAI models resulted in a unified and streamlined approach to data extraction and processing. This integration led to a significant reduction in manual effort, enabling Medtronic to process and analyze engineering design documents more efficiently. The ability to accurately scan and extract technical attributes not only saved hours of manual work but also significantly increased productivity and supply chain resilience. By storing key attributes in a database and presenting them through a simple search app, Medtronic improved data accessibility and facilitated efficient analysis, ultimately enhancing their decision-making processes and operational agility.
Medtronic Plc (link resides outside of ibm.com) is a global healthcare technology company that develops and manufactures a wide range of medical devices. Founded in 1949 and headquartered in Dublin, Ireland, Medtronic's operational headquarters are in Minneapolis, Minnesota. The company is recognized as one of the largest medical device companies in the world, providing solutions in more than 150 countries. Its portfolio includes cardiovascular, medical surgical, neuroscience and diabetes. The company’s mission, inspired by its founders, is “to alleviate pain, restore health, and extend life.” Medtronic is committed to innovation, regularly investing in research and development to introduce cutting-edge medical devices and therapies across a wide range of conditions.
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