Case Study: Medtronic achieves 90% accuracy in material ID search with IBM Consulting

Material ID search revolutionized with Microsoft GenAI + IBM Consulting

Medtronic, a global medical device manufacturer, faced a complex challenge in identifying critical raw materials quickly across engineering design documents to support product timelines, control costs, and improve competitiveness. To address this, Medtronic partnered with IBM and used IBM Consulting for Microsoft to build an AI-powered automation solution for material identification.

IBM implemented a tailored gen AI approach combining Azure Document Intelligence OCR with Azure OpenAI and a retrieval-augmented generation framework. The solution achieved up to 90% accuracy in extracting material information and over 85% accuracy in part number extraction, reducing manual verification, saving time, lowering operational costs, and improving supply chain efficiency.

Medtronic

Luciano Miranda

Vice President, Advanced Analytics Global Operations & Supply Chain