Unit of measure inconsistencies across supply chain and manufacturing enterprise systems don't just waste time—they cascade into forecast errors, inventory mismanagement, production disruptions, and lost revenue. For companies managing configurable materials, these measurement discrepancies directly impact hundreds of millions in sales while burning 200+ person-hours monthly on manual reconciliation. Data stewards spend their days hunting down conversion errors, manually validating whether kilograms should be pounds, liters should be gallons, or each should be cases. This workflow integrates ☑ CSV upload for any enterprise system ☑ Physics-aware NIST validation ☑ ML prediction: 60+ features, 85-92% accuracy ☑ RL automation: 94% autonomous resolution ☑ Real-time risk scoring ☑ Six-action intelligent remediation ☑ Logility-ready outputs