Tangled Data, Real-World Risks: Inconsistent material data led to delays, wasted budgets, and even a catastrophic fire—highlighting the urgent need for change.
The Cost of Chaos: Millions lost annually due to mislabeled inventory, incorrect orders, and underutilized parts—all rooted in poor data integrity.
Phased AI Implementation: A proof-of-concept and pilot project using Energy Edge AI showed dramatic improvements in data clarity and efficiency.
Company-Wide Transformation: Full-scale rollout will unify systems, empower teams with standardized material language, and reduce costly errors.
No More Spreadsheets: Energy Edge automates categorization, eliminates vendor dependency, and keeps data clean—without disrupting existing systems.