Case Study: a privately-held, family-run American company achieves cleaner Maximo data and reduced duplicate inventory with Verdantis

Privately-held, Family-Run American Company - Customer Case Study

A privately-held, family-run American food manufacturer faced significant data quality challenges while upgrading to the Maximo EAM system. Inconsistent and non-standardized descriptions for over 100,000 SKUs of spare parts and packaging materials led to duplicate inventory, the procurement of obsolete items, and difficulty locating parts. The company engaged Verdantis to cleanse and harmonize its indirect materials data to ensure a successful system rollout.

Verdantis addressed this by deploying its automated tools to classify, parse, normalize, and enrich the data. They utilized the UNSPSC taxonomy and specification sheets to standardize descriptions and perform deduplication. The results were substantial: noun/qualifier combinations were reduced from 15,000 to 5,000, which minimized duplicate inventory and freed up working capital. The client also gained procurement control for better volume discounts and improved efficiency on the shop floor.