Case Study: Medtronic achieves faster, more accurate invoice matching with IBM Consulting and IBM Neudesic

A IBM Case Study

Preview of the Medtronic Case Study

How Medtronic transformed invoice matching with AI

Medtronic, a global medical technology leader, was spending too much time manually matching invoices, proof of delivery, and purchase orders, which slowed operations and pulled staff away from more strategic work. IBM helped address this challenge through an AI-powered Document Intelligence Platform designed to automate document matching and improve workflow efficiency.

IBM, working with IBM Consulting and IBM Neudesic, implemented the Document Intelligence Platform Accelerator to ingest and match documents using machine learning and generative AI. The solution cut invoice processing time from up to 20 minutes to 8 seconds, achieved over 99% accuracy, improved scalability, and freed Medtronic teams to focus on higher-value tasks.


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Medtronic

Eric Wellmann

Senior Director of Credit Services, Global Operations and Supply Chain


IBM

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