Relevance Lab
12 Case Studies
A Relevance Lab Case Study
Relevance Lab worked with a Medical Devices Manufacturer facing a major inventory overlap after an orthopaedics acquisition, with $2bn tied up in duplicate surgical instruments and sets. The company had 300,000 complex engineering drawings spread across 6 source systems, with inconsistent image quality and no governance process, making manual review of specialized parts extremely difficult.
Relevance Lab delivered an unstructured data analytics solution that created a visual- and text-searchable drawing archive, using NLP and multiple image/text processing algorithms to identify duplicate parts with high confidence. The solution enabled Google-like search across all drawings, reduced manual effort, and helped identify thousands of duplicates, with an expected $50mn+ in inventory reduction and improved engineering reuse for new part development.
Medical Devices Manufacturer